WMS This is a description of your Web Map Server. WFS WMS GEOSERVER

NONE NONE text/xml image/png application/atom+xml application/json;type=utfgrid application/pdf application/rss+xml application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 image/vnd.jpeg-png image/vnd.jpeg-png8 text/html; subtype=openlayers text/html; subtype=openlayers2 text/html; subtype=openlayers3 text/plain application/vnd.ogc.gml text/xml application/vnd.ogc.gml/3.1.1 text/xml; subtype=gml/3.1.1 text/html application/json XML INIMAGE BLANK JSON This is a description of your Web Map Server. EPSG:4326 EPSG:3785 EPSG:3857 EPSG:900913 EPSG:32647 EPSG:32736 CRS:84 -180.0 180.0000000000001 -90.0 83.99999999999932 geonode:Administrative_Boundaries No abstract provided Transboundary EPSG:4258 CRS:84 -26.9999771259999 62.9999937010001 27.580299928 71.1868442050001 other other other other other text/xml other geonode:AgBMP_P_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Basin Human settlements Supply EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other text/xml other other other other other other geonode:AgBMP_sed_category To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Basin Human settlements Supply EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 text/xml other other other other other other geonode:AgRip_P_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Pollution Human settlements Supply Agriculture Basin Disrupting compounds EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other other text/xml other geonode:AgRip_sed_category To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Agriculture Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other text/xml other other other other geonode:Air_Runways features Air_Runways EPSG:2230 CRS:84 -117.36526677636073 -116.12621141861304 32.534227762958466 33.361585631042914 geonode:AnnualStressCategory_NC Water withdrawals or water abstractions, is the freshwater taken from ground or surface water sources and conveyed to a place of use. These, normally, are sectorial distributed and in this specific case, five of the most important water sectors such as irrigation, livestock-based agriculture, industry, thermal electricity production, and households and small businesses are examined. (Estimated from the WaterGAP3 model) This map shows the quantity of WTA taken from available watersheds, presented in two categories (considering a threshold of 40%) being Stressed or Not Stressed. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other text/xml other other other other other geonode:Auob_exchange_cut This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.457013361 22.270268597 -26.613039011 -22.399551701 other other text/xml other other other other geonode:Auob_hydraulic_parameter_and_thickness_points features Auob_hydraulic_parameter_and_thickness_points EPSG:32632 CRS:84 18.153523652312934 21.28038208081929 -25.53677950275863 -22.908391472632534 geonode:Barren_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. Barren includes deserts in rock and ice. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other text/xml other other geonode:City_UNESCO_Category0 A city with a population in excess of 10 million is defined by the UN as a Megacity. The International Hydrological Programme of UNESCO has established the Megacities Alliance for Water and Climate Change to support the exchange of knowledge and best practices in delivering sustainable water and sanitation services in view of Climate Change. Creative Cities, intend to foster international cooperation with and between cities committed to investing in creativity as a driver for sustainable urban development, social inclusion and cultural vibrancy. Inclusive and Sustainable Cities are interested in sharing experiences in order to improve their policies to fight racism, discrimination, xenophobia and exclusion; and Learning cities provide inspiration, know-how and best practices in matter of international policy. The map presents the Cities UNESCO’s Sectors are supporting in their efforts to enhance knowledge exchange and achieve the SDGs of the 2030 Sustainable Agenda. Learning cities Human settlements Creative cities Megacities Inclusive cities EPSG:4326 CRS:84 -118.2471559 126.9806556 -34.59085399 48.86443329 other text/xml other other other other other other text/xml other other other other geonode:Cropland_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:DRIN_ALB_DagWells features DRIN_ALB_DagWells EPSG:6870 CRS:84 19.377706311038814 19.555586218492635 42.074773954988636 42.345270274338084 geonode:DRIN_ALB_DagWells0 features DRIN_ALB_DagWells EPSG:6870 CRS:84 19.377706311038814 19.555586218492635 42.074773954988636 42.345270274338084 geonode:DRIN_ALB_DagWells_2 features DRIN_ALB_DagWells_2 EPSG:6870 CRS:84 19.377706311038814 19.555586218492635 42.074773954988636 42.345270274338084 geonode:DRIN_ALB_GWflowlines features DRIN_ALB_GWflowlines EPSG:32634 CRS:84 19.38781167179049 19.60979832375992 41.88518362684964 42.25477953384471 geonode:DRIN_ALB_GWheads This layer provides the isolines of the groundwater heads distribution in the Koplic-Skoder plain and Trush-Zadrima plain groundwater bodies (Albania) Groundwater EPSG:32634 CRS:84 19.36176195272464 19.632723876764462 41.88564073222148 42.2731183398328 other text/xml other other other other other other text/xml other other other other geonode:DRIN_ALB_MonitoringWells features DRIN_ALB_MonitoringWells EPSG:6870 CRS:84 19.399539527077465 20.741071522411136 40.90418823486636 42.45904711643438 geonode:DRIN_ALB_ProtectedAreas features DRIN_ALB_ProtectedAreas EPSG:6870 CRS:84 19.27544890547948 21.085568616387885 40.665338144742755 42.66119981270696 geonode:DRIN_ALB_ProtectedAreas0 features DRIN_ALB_ProtectedAreas EPSG:6870 CRS:84 19.27544890547948 21.085568616387885 40.665338144742755 42.66119981270696 geonode:DRIN_ALB_ProtectedAreas1 features DRIN_ALB_ProtectedAreas EPSG:6870 CRS:84 19.27544890547948 21.085568616387885 40.665338144742755 42.66119981270696 geonode:DRIN_ALB_ProtectedAreas2 features DRIN_ALB_ProtectedAreas EPSG:6870 CRS:84 19.27544890547948 21.085568616387885 40.665338144742755 42.66119981270696 geonode:DRIN_ALB_Risks This layer provides the location of potential sources of risk for groundwater in the Albanian national segment of the Skadar/Shkoder - Buna/Bojana Transboundary Aquifer System Transboundary Risk Groundwater EPSG:32634 CRS:84 19.382358833038406 19.72477438853549 41.92875490014959 42.28318599250551 other text/xml other other other other other text/xml other other other other other geonode:DRIN_ALB_RisksII This layer provides information about the location of different types of wate treatment facilities, including waste water and solid waste. Risk Waste Groundwater EPSG:32634 CRS:84 19.384440072031904 19.56602901368606 41.88094806839325 42.20291204676417 other other other other text/xml other other other other other text/xml other other geonode:DRIN_ALB_SupplyWells This layer provides information about the main groundwater supply wells in the Albanian national segment of the Skadar/Shkoder - Buna/Bojana Transboundary Aquifer System Supply Groundwater EPSG:32634 CRS:84 19.440765567704744 19.551773662805182 41.94045675301317 42.09839836345642 other text/xml other other other other other text/xml other other other other other geonode:DRIN_Comprehensive_Vulnerability features DRIN_Comprehensive_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Comprehensive_Vulnerability0 features DRIN_Comprehensive_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Comprehensive_Vulnerability1 features DRIN_Comprehensive_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Comprehensive_Vulnerability2 features DRIN_Comprehensive_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Comprehensive_Vulnerability3 This Layer contains the ACVM Comprehensive Vulnerability Map of the transboundary aquifer located within the Skadar/Shkoder - Buna/Bojana area shared by the two countries elaborated in the context of the Pilot Project "Design and testing of a multipurpose transboundary groundwater monitoring network in the Extended Drin River Basin" (DRIN) 2017 – 2020. For each polygon of the map, the numeric value the Comprehensive Vulnerability class is associated in the field CV, while the related vertical vulnerability (i.e. vulnerability to contamination threats from land-based pollution) class is in the field VV and the Horizontal Vulnerability (i.e. vulnerability to salt water intrusion) class is in the field HV. Transboundary Groundwater Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 other other other other text/xml other other other other other other text/xml other geonode:DRIN_Flooding_vulnerability This Layer contains the First Edition of Flooding Vulnerability Map of the transboundary aquifer located within the Skadar/Shkoder - Buna/Bojana area shared by the two countries elaborated in the context of the Pilot Project "Design and testing of a multipurpose transboundary groundwater monitoring network in the Extended Drin River Basin" (DRIN) 2017 – 2020. For each polygon of the map, the numeric value of the Flooding Vulnerability class is in the field FV. The scale of this first edition is limited to 1:500000, due to the scale of the input data, but the resolution of this map could be updated if new detailed data will be provided. Flood Disaster Transboundary Groundwater Vulnerability EPSG:3908 CRS:84 18.93674657001706 19.75501589217593 41.714819153862365 42.51107365546288 other other text/xml other other other other geonode:DRIN_GDEs_AquaticEcosystems features DRIN_GDEs_AquaticEcosystems EPSG:3908 CRS:84 19.041552218630684 19.67043594150584 41.789654263929016 42.36595032644763 geonode:DRIN_GDEs_AquaticEcosystems0 features DRIN_GDEs_AquaticEcosystems EPSG:3908 CRS:84 19.041552218630684 19.67043594150584 41.789654263929016 42.36595032644763 geonode:DRIN_GWBs Identified Groundwater bodies - in line with the European Union Water Framework Directive - in the Skadar/Skoder - Buna/Bojana Transboundary Aquifer System Transboundary Governance Groundwater EPSG:3908 CRS:84 19.039474552586476 19.791326354022544 41.659375980283826 42.49007535319346 other text/xml other other other other other other text/xml other other other other geonode:DRIN_GW_Related_TerrestrialEcosystems features DRIN_GW_Related_TerrestrialEcosystems EPSG:3908 CRS:84 19.041552218630684 19.67043594150584 41.789654263929016 42.36595032644763 geonode:DRIN_Horizontal_Vulnerability features DRIN_Horizontal_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Horizontal_Vulnerability0 This Layer contains the Horizontal Vulnerability Map of the transboundary aquifer located within the Skadar/Shkoder - Buna/Bojana area shared by the two countries elaborated in the context of the Pilot Project "Design and testing of a multipurpose transboundary groundwater monitoring network in the Extended Drin River Basin" (DRIN) 2017 – 2020. Horizontal vulnerability refers to the vulnerability to salt water intrusion. For each polygon of the map, the numeric value of the Horizontal Vulnerability class is in the field HV. Transboundary Groundwater Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 other other other other text/xml other other other other other text/xml other other geonode:DRIN_Industry_DIKTAS features DRIN_Industry_DIKTAS EPSG:4258 CRS:84 19.0281620000001 19.4666397070001 42.0572884330001 42.473442 geonode:DRIN_Industry_DIKTAS0 This layer provides information about the location and type of the main industrial facilities situated on top of the Skadar/Shkoder - Buna/Bojana Transboundary Aquifer System. Risk Groundwater EPSG:4258 CRS:84 19.0281620000001 19.4666397070001 42.0572884330001 42.473442 other text/xml other other other other other other text/xml other other other other geonode:DRIN_Landfills_DIKTAS Location of landfills. Datasource: DIKTAS GIS database Transboundary Sanitation EPSG:4258 CRS:84 19.1156920000001 19.7864660000001 41.771035 42.4166930000001 other text/xml other other other other other other text/xml other other other other geonode:DRIN_MNT_Boreholes features DRIN_MNT_Boreholes EPSG:3908 CRS:84 19.18124797680249 19.343910223674925 42.29973068401592 42.45282622762637 geonode:DRIN_MNT_Boreholes0 This layer provides the location of the boreholes which groundwater level is monitored by the Montenegrin administration in the Zeta plain (Montenegrin national segment of the Skadar/Shkoder Transboundary Aquifer System) Abstraction Groundwater Supply EPSG:3908 CRS:84 19.18124797680249 19.343910223674925 42.29973068401592 42.45282622762637 other text/xml other other other other other text/xml other other other other other geonode:DRIN_MNT_GWflowlines features DRIN_MNT_GWflowlines EPSG:32634 CRS:84 19.196146414612755 19.3459585752745 42.24286004457221 42.42705112134208 geonode:DRIN_MNT_GWheads features DRIN_MNT_GWheads EPSG:32634 CRS:84 19.098400541315836 19.382683721033715 42.23753810523175 42.48968547662649 geonode:DRIN_MNT_SupplyWells This layer provides information about the location of the main pumping wells for water supply in the Montenegrin national segment of the Skadar/Shkoder Aquifer System Abstraction Groundwater Supply EPSG:3908 CRS:84 19.172090304123323 19.38959906308757 41.957720564403814 42.47715001340491 other text/xml other other other other other other text/xml other other other other geonode:DRIN_Mining_DIKTAS This layer provides information about the mining activity in the Skadar/Shkoder - Buna/Bojana Transboundary Aquifer System (Data source: DIKTAS GIS database) Pollution Groundwater Risk EPSG:4258 CRS:84 19.209636 19.824699029 41.773420693 42.456875708 other text/xml other other other other other other text/xml other other other other geonode:DRIN_ProposedMonitoringZones features DRIN_ProposedMonitoringZones EPSG:3908 CRS:84 19.171336782647174 19.570664502983224 41.83106138596476 42.475417554961616 geonode:DRIN_ProposedMonitoringZones0 features DRIN_ProposedMonitoringZones EPSG:3908 CRS:84 19.171336782647174 19.570664502983224 41.83106138596476 42.475417554961616 geonode:DRIN_ProposedMonitoringZones1 Proposed transboundary groundwater monitoring areas for the Skadar/Shkoder - Buna/Bojana Transboundary Aquifer System under the DRIN project Transboundary Basin Groundwater EPSG:3908 CRS:84 19.171336782647174 19.570664502983224 41.83106138596476 42.475417554961616 other text/xml other other other other other other text/xml other other other other geonode:DRIN_Springs features DRIN_Springs EPSG:3908 CRS:84 19.025181228898532 19.816339990059717 41.744117816112656 42.55667085935499 geonode:DRIN_Springs0 features DRIN_Springs EPSG:3908 CRS:84 19.025181228898532 19.816339990059717 41.744117816112656 42.55667085935499 geonode:DRIN_Springs1 features DRIN_Springs EPSG:3908 CRS:84 19.025181228898532 19.816339990059717 41.744117816112656 42.55667085935499 geonode:DRIN_Springs2 features DRIN_Springs EPSG:3908 CRS:84 19.025181228898532 19.816339990059717 41.744117816112656 42.55667085935499 geonode:DRIN_Springs3 features DRIN_Springs EPSG:3908 CRS:84 19.025181228898532 19.816339990059717 41.744117816112656 42.55667085935499 geonode:DRIN_Vertical_Vulnerability features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability0 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability1 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability2 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability3 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability4 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability5 features DRIN_Vertical_Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 geonode:DRIN_Vertical_Vulnerability6 This Layer contains the Vertical Vulnerability Map of the transboundary aquifer located within the Skadar/Shkoder - Buna/Bojana area shared by the two countries elaborated in the context of the Pilot Project "Design and testing of a multipurpose transboundary groundwater monitoring network in the Extended Drin River Basin" (DRIN) 2017 – 2020. Vertical vulnerability refers to the vulnerability of contamination threats from land-based pollution. For each polygon of the map, the numeric value of the Vertical Vulnerability class is in the field VV. Transboundary Groundwater Vulnerability EPSG:4258 CRS:84 18.9356917518874 19.7375035808394 41.7195979662764 42.5153004023378 other other other other text/xml other other other other other text/xml other other geonode:DRIN_WWT_DIKTAS features DRIN_WWT_DIKTAS EPSG:4258 CRS:84 19.2345480000001 19.5966050000001 41.8094990000001 42.434488 geonode:DRIN_WWT_DIKTAS0 features DRIN_WWT_DIKTAS EPSG:4258 CRS:84 19.2345480000001 19.5966050000001 41.8094990000001 42.434488 geonode:Depth_to_Groundwater_Africa1 Depth_to_Groundwater_Africa1 WCS GeoTIFF EPSG:4326 CRS:84 -17.45 51.3 -34.81399690999999 37.33600309 geonode:Developed_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Hygiene Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other text/xml other other other other other geonode:ForestProtection_P_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Biodiversity Pollution Human settlements Surface water Basin Disrupting compounds EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:ForestProtection_sed_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Basin Human settlements Supply EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other geonode:Forest_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other other text/xml other geonode:Grassland_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other other other text/xml other other geonode:Herault_Bassin Pas de résumé features Herault_Bassin EPSG:4326 CRS:84 3.19767041256335 3.86870345212753 43.2807651391943 44.1235655494291 other text/xml other other other other other geonode:Kalahari_hydraulic_parameter_and_thickness_po features Kalahari_hydraulic_parameter_and_thickness_points EPSG:32632 CRS:84 18.28386673369364 19.79860014379165 -25.529391187812283 -23.400979999671872 geonode:Kalahari_hydraulic_parameter_and_thickness_po0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:32632 CRS:84 18.28386673369364 19.79860014379165 -25.529391187812283 -23.400979999671872 other other text/xml other other other other geonode:Karez_Mustung_Correction No abstract provided Irrigation EPSG:4326 CRS:84 66.220184 66.87907 29.372567 29.89173 other text/xml other other other other other geonode:Karezes_Inventory_Pakistan_935 features Karezes_Inventory_Pakistan_935 EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 geonode:Karezes_Inventory_Pakistan_9350 features Karezes_Inventory_Pakistan_935 EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 geonode:Karezes_Inventory_Pakistan_9352 No abstract provided features Karezes_Inventory_Pakistan_9352 EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 other other text/xml other other other other geonode:Karezes_Inventory_Pakistan_935_Wins features Karezes_Inventory_Pakistan_935_Wins EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 geonode:Karezes_Inventory_Pakistan_935_Wins0 The Kareze system of Balochistan-Pakistan is a life-sustaining resource as well as master piece of engineering. This resource is under serious threat and needs immediate interventions for its rehabilitation. Threfore, the development of digital inventory is very critical and will provide an important role for devising appropriate rehabilitation strategies. Irrigation EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 other other other text/xml other other other geonode:Karezes_Inventory_Pakistan_935_Wins1 The Kareze system of Balochistan-Pakistan is a life-sustaining resource as well as master piece of engineering. This resource is under serious threat and needs immediate interventions for its rehabilitation. Therefore, the development of digital inventory is very critical and will provide an important role for devising appropriate rehabilitation strategies. Pakistan Council of Research in Water resources (PCRWR) in collaboration with UNESCO has started marvelous work of developing digital inventory of Karezes in Balochistan-Pakistan. This is first ever effort of developing an online database which is easily accessible with spatial location of Karezes along with its detailed attributes. Culture Irrigation Groundwater EPSG:4326 CRS:84 64.167557 70.19713 28.65303 31.688056 other text/xml other other other other other other text/xml other other other other geonode:Lez_Bassin Pas de résumé Ecohydrology EPSG:4326 CRS:84 3.760831301888 3.94256602972217 43.5222242083012 43.8247617995644 other other text/xml other other other other geonode:Mukorob_exchange_2 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:32734 CRS:84 17.335422901778934 21.689017774038106 -26.485354825271447 -22.48309692369815 other other other other other text/xml other geonode:National_Boundaries National_Boundaries features EPSG:4326 CRS:84 11.7156295776368 38.0004653962936 -46.9789314270019 -16.9598941802785 geonode:Nossob_exchange_2 Nossob_exchange_2 WCS GeoTIFF EPSG:32734 CRS:84 17.457013361380913 22.270268597301285 -26.613039010738188 -22.399551701360256 geonode:Nossob_hydraulic_parameter_and_thickness_poin features Nossob_hydraulic_parameter_and_thickness_points EPSG:32632 CRS:84 18.28363542765053 19.7999546100598 -25.529707932746142 -23.40104999967941 geonode:Nossob_hydraulic_parameter_and_thickness_poin0 features Nossob_hydraulic_parameter_and_thickness_points EPSG:32632 CRS:84 18.28363542765053 19.7999546100598 -25.529707932746142 -23.40104999967941 geonode:Other_NC The use of the land covering the watersheds have an enormous impact in the cost and treatment of the water, as well as for the availability and quality of the water supply. Globally, a watershed is covered by 40 percent of forestall area, 30 percent of cropland and 20 percent of grassland and pasture; but it will vary from country to country. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other text/xml other other other other other geonode:PYieldCalibrated_NC features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC0 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC1 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC2 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC3 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC4 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC5 features PYieldCalibrated_NC EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 geonode:PYieldCalibrated_NC6 In cases were the watersheds are exploited for intensive agricultural purposes, as consequence the fertilizer concentration increase. Thus, the fertilizer filters into the water and rise the accumulation of common nutrients, phosphorus and nitrogen, affecting their proper cycle. Around 384 million urbanities receive their drinking water from watersheds with high nutrient pollution. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Pollution Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other other text/xml other geonode:PYieldCategory_NC In cases were the watersheds are exploited for intensive agricultural purposes, as consequence the fertilizer concentration increase. Thus, the fertilizer filters into the water and rise the accumulation of common nutrients, phosphorus and nitrogen, affecting their proper cycle. Around 384 million urbanities receive their drinking water from watersheds with high nutrient pollution. This map shows the total quantity of phosphorous moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if < 8kg/km2; “Medium” if 8-20 kg/km2; “High” if > 20 kg/km2 and “No Information”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:PekoCorinaOpisKodova No abstract provided PekoCorinaOpisKodova features EPSG:3908 CRS:84 19.047369317188735 19.424211381430116 41.84499198331362 42.45578772698326 other other text/xml other other other other geonode:Pop_WW_Coll_1990_2015_2 This layer represents percentage of population connected to a wastewater collecting system, with or without treatment, in 2009. The table also provides data for other years . For more information, visit the Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Waste Human settlements EPSG:4326 CRS:84 -179.1482863 179.772198 -56.5246999999999 83.1445706000001 other other text/xml other other other other geonode:Refor_P_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Quality Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other other other other text/xml other geonode:Refor_sed_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:Rietmond_exchange_cut Rietmond_exchange_cut WCS GeoTIFF EPSG:32734 CRS:84 17.457013361380913 22.270268597301285 -26.613039010738188 -22.399551701360256 geonode:SPR_HYNAM_Rivers This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Surface water EPSG:32734 CRS:84 16.772234733097214 38.09640582165447 -48.23186453947355 -21.49527759864867 other other text/xml other other other other geonode:SPR_auob_discharge features SPR_auob_discharge EPSG:4326 CRS:84 18.7887511576939 20.8644180297683 -26.1604518648616 -24.2143073267596 geonode:SPR_auob_fluoride features SPR_auob_fluoride EPSG:4326 CRS:84 18.0569568981424 21.0779089248571 -25.4805977511852 -23.114021878207 geonode:SPR_auob_fluoride0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0569568981424 21.0779089248571 -25.4805977511852 -23.114021878207 other other text/xml other other other other geonode:SPR_auob_freeflow features SPR_auob_freeflow EPSG:4326 CRS:84 17.9949422704694 18.9814370602722 -25.0029674060209 -23.3282531779418 geonode:SPR_auob_gwaterlevel This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.5202513720033 20.8618595457814 -26.1575941998124 -22.8573312626276 other other text/xml other other other other geonode:SPR_auob_nitrate features SPR_auob_nitrate EPSG:4326 CRS:84 18.0524595918367 21.0764729638562 -25.464855786965 -23.1148617550659 geonode:SPR_auob_nitrate0 features SPR_auob_nitrate EPSG:4326 CRS:84 18.0524595918367 21.0764729638562 -25.464855786965 -23.1148617550659 geonode:SPR_auob_recharge features SPR_auob_recharge EPSG:4326 CRS:84 17.9103677741777 18.7155391872839 -25.4057510436023 -23.4763780348383 geonode:SPR_auob_recharge0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas features SPR_auob_recharge EPSG:4326 CRS:84 17.9103677741777 18.7155391872839 -25.4057510436023 -23.4763780348383 other other text/xml other other other other geonode:SPR_auob_sulphate features SPR_auob_sulphate EPSG:4326 CRS:84 18.0521435448887 21.0740288286676 -25.206608026739 -23.1431952720441 geonode:SPR_auob_sulphate0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0521435448887 21.0740288286676 -25.206608026739 -23.1431952720441 other other other other text/xml other other geonode:SPR_auob_tds features SPR_auob_tds EPSG:4326 CRS:84 18.0470425767535 21.0749929477664 -25.236698438582 -22.9721508091125 geonode:SPR_auob_yield features SPR_auob_yield EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_kalahari_fluoride features SPR_kalahari_fluoride EPSG:4326 CRS:84 17.6483043866382 20.736844772868 -26.4183570355487 -23.1299419261789 geonode:SPR_kalahari_fluoride0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 17.6483043866382 20.736844772868 -26.4183570355487 -23.1299419261789 other other text/xml other other other other geonode:SPR_kalahari_gwlevel features SPR_kalahari_gwlevel EPSG:4326 CRS:84 17.4759995643285 20.8627461541118 -25.988247269296 -22.7809557874796 geonode:SPR_kalahari_nitrate features SPR_kalahari_nitrate EPSG:4326 CRS:84 17.6483043866382 20.8610432491467 -26.42087925977 -23.1296087966086 geonode:SPR_kalahari_nitrate0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 17.6483043866382 20.8610432491467 -26.42087925977 -23.1296087966086 other other text/xml other other other other geonode:SPR_kalahari_sulphate features SPR_kalahari_sulphate EPSG:4326 CRS:84 17.6483043866382 20.7438876848688 -26.4207870666697 -23.1880775647278 geonode:SPR_kalahari_sulphate0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 17.6483043866382 20.7438876848688 -26.4207870666697 -23.1880775647278 other other text/xml other other other other geonode:SPR_kalahari_tds features SPR_kalahari_tds EPSG:4326 CRS:84 17.6483043866382 20.736844772868 -26.4183570355487 -23.1299419261789 geonode:SPR_kalahari_tds0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 17.6483043866382 20.736844772868 -26.4183570355487 -23.1299419261789 other other text/xml other other other other geonode:SPR_kalahari_yield features SPR_kalahari_yield EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_kalahari_yield0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_nossob_discharge features SPR_nossob_discharge EPSG:4326 CRS:84 18.7887511576939 20.8644180297683 -26.1604518648616 -24.2143073267596 geonode:SPR_nossob_discharge0 features SPR_nossob_discharge EPSG:4326 CRS:84 18.7887511576939 20.8644180297683 -26.1604518648616 -24.2143073267596 geonode:SPR_nossob_discharge1 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 18.7887511576939 20.8644180297683 -26.1604518648616 -24.2143073267596 other other text/xml other other other other geonode:SPR_nossob_fluoride This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0288595170531 20.8366235043713 -26.2962311989107 -23.0503287171965 other other text/xml other other other other geonode:SPR_nossob_freeflow features SPR_nossob_freeflow EPSG:4326 CRS:84 17.9584175439346 18.9814370602722 -25.0029674060209 -23.3282531779417 geonode:SPR_nossob_freeflow0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.9584175439346 18.9814370602722 -25.0029674060209 -23.3282531779417 other other text/xml other other other other geonode:SPR_nossob_gwlevel features SPR_nossob_gwlevel EPSG:4326 CRS:84 17.6355132302514 20.8525588003484 -26.0167684990669 -22.8246051096381 geonode:SPR_nossob_gwlevel0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.6355132302514 20.8525588003484 -26.0167684990669 -22.8246051096381 other other text/xml other other other other geonode:SPR_nossob_nitrate features SPR_nossob_nitrate EPSG:4326 CRS:84 18.0310446510898 19.9430142073398 -25.462230117326 -23.0503287180958 geonode:SPR_nossob_nitrate0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0310446510898 19.9430142073398 -25.462230117326 -23.0503287180958 other other text/xml other other other other geonode:SPR_nossob_recharge SPR_nossob_recharge features EPSG:4326 CRS:84 17.9103677741777 18.7155391872839 -25.4057510436023 -23.4763780348383 geonode:SPR_nossob_recharge0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.9103677741777 18.7155391872839 -25.4057510436023 -23.4763780348383 other other text/xml other other other other geonode:SPR_nossob_sulphate features SPR_nossob_sulphate EPSG:4326 CRS:84 18.0322879701138 19.9202934806597 -24.981742812181 -23.0503287180958 geonode:SPR_nossob_sulphate0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0322879701138 19.9202934806597 -24.981742812181 -23.0503287180958 other text/xml other other other other other geonode:SPR_nossob_tds features SPR_nossob_tds EPSG:4326 CRS:84 18.0355548482777 19.9402410344962 -25.2855326976758 -23.0503287180958 geonode:SPR_nossob_tds0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.0355548482777 19.9402410344962 -25.2855326976758 -23.0503287180958 other other text/xml other other other other geonode:SPR_nossob_yield SPR_nossob_yield features EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_nossob_yield0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_physiography_elevation This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stasd Groundwater EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_physiography_farmsdelineation features SPR_physiography_farmsdelineation EPSG:4326 CRS:84 17.3933820396495 20.0007470422423 -25.9707369654386 -22.6274230133614 geonode:SPR_physiography_farmsdelineation0 features SPR_physiography_farmsdelineation EPSG:32734 CRS:84 17.33014122360766 20.025156245131523 -25.984285975800507 -22.60086559871885 geonode:SPR_physiography_irrigatedfarms features SPR_physiography_irrigatedfarms EPSG:4326 CRS:84 17.4144670353255 20.0007470422423 -25.6763914516042 -22.9629290052694 geonode:SPR_physiography_irrigatedfarms0 features SPR_physiography_irrigatedfarms EPSG:4326 CRS:84 17.4144670353255 20.0007470422423 -25.6763914516042 -22.9629290052694 geonode:SPR_physiography_landuse features SPR_physiography_landuse EPSG:4326 CRS:84 17.4385986328207 21.0304064645867 -26.157977791242 -22.6823577884811 geonode:SPR_physiography_landuse0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas features SPR_physiography_landuse EPSG:4326 CRS:84 17.4385986328207 21.0304064645867 -26.157977791242 -22.6823577884811 other text/xml other other other other other geonode:SPR_physiography_maxtemperature features SPR_physiography_maxtemperature EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_physiography_maxtemperature0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas features SPR_physiography_maxtemperature EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_physiography_meantemperature features SPR_physiography_meantemperature EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_physiography_meantemperature0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas features SPR_physiography_meantemperature EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_physiography_mintemperature features SPR_physiography_mintemperature EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_physiography_mintemperature0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Groundwater EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other other text/xml other other other other geonode:SPR_physiography_rainfall features SPR_physiography_rainfall EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SPR_physiography_rainfall0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas features SPR_physiography_rainfall EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 other text/xml other other other other other geonode:SPR_physiography_settlements This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Human settlements EPSG:4326 CRS:84 18.055321 20.625953 -26.472412 -22.996732 other other text/xml other other other other geonode:SPR_physiography_stasboundary features SPR_physiography_stasboundary EPSG:4326 CRS:84 17.4385933070355 20.8850708004771 -26.1604518648616 -22.6823577884811 geonode:SedYieldCategory_NC The land use greatly influence water quality on the one supplied by watersheds. Land use changes often increase significantly the sedimentation and nutrient pollution. Human activity can generate as well pollutant concentration rising and heavily affect water treatment cost for urban supply. This map shows the total quantity of sediment moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year, organized into four categories: “Low” if <6 tonnes/km2; “Medium” if between 6-40 tonnes/km2; “High” if > 40 tonnes/km2, and “No information”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other other other text/xml other other geonode:SedYield_calibrated_NC The land use greatly influence water quality on the one supplied by watersheds. Land use changes often increase significantly the sedimentation and nutrient pollution. Human activity can generate as well pollutant concentration rising and heavily affect water treatment cost for urban supply. This map shows the total quantity of sediment moving out of a watershed in a given time interval, being expressed as units of tonnes/km2/year. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:Stations_Hydrologiques_Herault Pas de résumé features Stations_Hydrologiques_Herault EPSG:4326 CRS:84 3.44537348 3.73386898 43.32531088 43.93193081 other text/xml other other other other other geonode:Stations_Hydrologiques_Lez Pas de résumé features Stations_Hydrologiques_Lez EPSG:4326 CRS:84 3.81375166 3.89671534 43.56252211 43.73078174 other other text/xml other other other other geonode:Studied_Area This Layer contains the limit of the Vulnerability Map of the transboundary aquifer located within the Skadar/Shkoder - Buna/Bojana area shared by the two countries elaborated in the context of the Pilot Project "Design and testing of a multipurpose transboundary groundwater monitoring network in the Extended Drin River Basin" (DRIN) 2017 – 2020. Transboundary Groundwater Vulnerability EPSG:3908 CRS:84 18.93905668713321 19.75501589217593 41.705197301319245 42.5110530689133 other text/xml other other other other other text/xml other other other other other geonode:Thin_sed_category_NC To help determine where watershed conservation can help secure water for cities, we estimated the effectiveness of five common conservation strategies: land protection, reforestation, riparian restoration, agricultural best management practices, and forest fuel reduction. For each strategy, we evaluated how effectively it reduces sedimentation and nutrient pollution in more than 2,000 source watersheds that serve over 500 cities. This map shows the potential of cities to do so in four categories: <10km2 is “High”, 10-100km2 is “Medium”, > 100km2 is “Low”. Note that cities that predominately (>0.5) use something other than surface water, or cities that get the significant majority of their water (>0.66) from sources that this strategy cannot help, are classified as “Insufficient scope”. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Biodiversity Disaster Basin Human settlements EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other text/xml other other geonode:Trifinio_Fraternidad_zonificacion1 features Trifinio_Fraternidad_zonificacion1 EPSG:4326 CRS:84 -89.5928651317572 -88.6995537507074 14.1329019845121 15.295068889552 geonode:Trifinio_Fraternidad_zonificacion11 Zonation of the Transboundary Biosphere Reserve Trifinio-Fraternidad. It was approved by UNESCO International Coordination Council of the MAB Programme in 2011. It was extended and approved by the UNESCO International Coordination Council of the MAB Programme in 2016 (Honduras part). Transboundary Ecohydrology EPSG:4326 CRS:84 -89.5928651317572 -88.6995537507074 14.1329019845121 15.295068889552 other other text/xml other other other other geonode:WTA_NC Water withdrawals or water abstractions, is the freshwater taken from ground or surface water sources and conveyed to a place of use. These, normally, are sectorial distributed and in this specific case, five of the most important water sectors such as irrigation, livestock-based agriculture, industry, thermal electricity production, and households and small businesses are examined. (Estimated from the WaterGAP3 model) This map shows the quantity of WTA taken from available watersheds. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Human settlements Supply Surface water Basin Groundwater EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:World_Watershed_Urban_Water_Blueprint This map shows the source watersheds of 534 cities. "Although the 100 largest cities in the world occupy less than 1 percent of our planet’s land area, their source watersheds — the rivers, forests and other ecosystems from which they get their water— cover over 12 percent. [...] The availability and quality of that water supply, and hence the costs to move and treat it, depend heavily on how land in those source watersheds is used." (Nature Conservancy, 2015). For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Surface water Basin Human settlements EPSG:4326 CRS:84 -149.81004772124 176.541666666667 -39.3083333370132 64.3124999976799 other text/xml other other other other other other other other text/xml other other geonode:_2014bolivia411736in This layer shows a rapid response mapping of the 2014 Flooding in Bolivia based on information from NASA's MODIS and Landsat 8 satellite images. This flooding event was the worst in 60 years and submerged villages, ruined crops and destroyed homes. According to media reports, floodwaters killed at least 60 people and damaged the homes of more than 60,000. Large numbers of livestock were also affected. Preliminary estimates suggest at least 100,000 cattle were killed by floods, and hundreds of thousands more were threatened by starvation. For more information, visit Dartmouth Flood Observatory's page: https://floodobservatory.colorado.edu/RapidResponse/2014Bolivia4117/2014Bolivia.html Disaster Flood EPSG:4326 CRS:84 -69.98095932032896 -60.003560659790296 -19.989111276954645 -10.00085169028785 other other other other text/xml other other other other other other other text/xml geonode:a__1108_Limite_Trifinio Representación de los limites de la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other text/xml other other other other other other other other other text/xml other geonode:a__1119_Subcuencas Representación de la Subcuencas del río Lempa de la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Surface water EPSG:32616 CRS:84 -90.11532475418048 -89.06067100139742 14.00878472346984 14.71476406226116 other text/xml other other other other other other text/xml other other other other geonode:a__1503_Elevaciones_3gaZjr6 a__1503_Elevaciones_3gaZjr6 WCS GeoTIFF EPSG:32616 CRS:84 -89.87190082472468 -88.7113857137091 14.113213189423018 15.098357169320668 other other text/xml other other other other geonode:a__2019_04_15_Social Número de casos de intoxicación por uso o consumo de agrotóxicos, sea accidental, laboral o suicidio, en relación a cada mil habitantes en períodos anuales. Valor mas elevado entre 2010-2017 La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.84377834724091 14.124682655352148 14.953133231492995 other other other other text/xml other other geonode:a__2019_04_15_Social0 Número de casos de intoxicación por uso o consumo de agrotóxicos, sea accidental, laboral o suicidio, en relación a cada mil habitantes en períodos anuales. Año 2017 La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.84377834724091 14.124682655352148 14.953133231492995 other other other other other text/xml other geonode:a__2019_04_15_Social1 % de la inversión total de proyectos sensibles al género en relación a lo ejecutado en inversión por el municipio. Media del % de la Inversion entre 2010 y 2017 (se toma en cuenta la informacion disponible) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.84377834724091 14.124682655352148 14.953133231492995 other other other other text/xml other other geonode:a__2019_04_15_Social2 % del presupuesto municipal asignado para el desarrollo de acciones a favor de la mujer. Media del % del Presupuesto Anual entre 2010 y 2017 (se toma en cuenta la informacion disponible) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.84377834724091 14.124682655352148 14.953133231492995 other other other other text/xml other other geonode:a__2019_04_16_Fisico Suma de los botaderos a cielo abierto existentes en el municipio, donde periódicamente pobladores o la municipalidad acuden a botar los Residuos Sólidos producidos en su hogar, negocio, empresa o industria. Valor del ultimo año registrado entre 2010-2017). La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other other text/xml other other other other geonode:a__2019_04_16_Fisico0 El porcentaje del presupuesto municipal utilizado en proyectos, maquinaria, materiales y equipo destinado para la ejecución de obras, estudios, Asistencia Técnica para prevención y mitigación de riesgos, realizados en el área geográfica de su territorio. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other other other other other text/xml other geonode:a__2019_04_16_Fisico1 Se define como el porcentaje de inversión total del presupuesto municipal en proyectos de construcción y ampliación de sistemas de tratamiento de aguas servidas. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Waste Sanitation Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other text/xml other other other other other other text/xml other other other other geonode:a__2019_04_16_Fisico2 Porcentaje de inversión del presupuesto municipal utilizado en la implementación de proyectos de agua para consumo humano en el municipio. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Supply Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other text/xml other other other other other text/xml other other other other other geonode:a__2019_04_16_Fisico3 Porcentaje de inmuebles que evacuan sus aguas servidas a redes de alcantarillado dotadas con sistemas de tratamiento en el área urbana del municipio. valor del ultimo año registrado (2010-2017) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Waste Sanitation Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other other other other text/xml other other other other other text/xml other other geonode:a__2019_04_16_Fisico4 Porcentaje de inmuebles del municipio que son abastecidas por sistemas de agua para uso domiciliario. valor del ultimo año registrado (2010-2017) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Supply Sanitation Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.71148871496732 14.124682655352148 14.95417084938513 other other other other text/xml other other other other other other text/xml other geonode:a__2019_04_16_Natural Suma de toneladas de desechos sólidos con al menos uno de los tratamiento y/o manejo adecuado ya sea Compostaje, Reciclaje o Disposición en Celdas de Disposición final, prestado por la municipalidad y/o prestador de servicios de Manejo de Desechos Sólidos, que en este caso no puede ser la Mancomunidad a la que pertenece. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Waste Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other text/xml other other other other other other text/xml other other other other geonode:a__2019_04_16_Natural0 Suma de toneladas de desechos sólidos con al menos uno de los tratamiento y/o manejo adecuado ya sea Compostaje, Reciclaje o Disposición en Celdas de Disposición final, prestado por la municipalidad y/o prestador de servicios de Manejo de Desechos Sólidos, que en este caso no puede ser la Mancomunidad a la que pertenece. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Waste Human settlements EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other text/xml other other other other other text/xml other other other other other geonode:a__2019_04_16_Natural1 Porcentaje del presupuesto municipal ejecutado en actividades de protección, reforestación y manejo forestal en un periodo dado (año). Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other other other other text/xml other other geonode:a__2019_04_16_Natural2 Cantidad de hectáreas en áreas naturales de propiedad municipal. valor del ultimo año registrado (2010-2017) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other other other other text/xml other other geonode:a__2019_04_16_Natural3 Porcentaje de comunidades que realizan acciones de manejo y conservación de recursos forestales e hídricos en un periodo dado (año). Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Biodiversity Transboundary EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other text/xml other other other other other other text/xml other other other other geonode:a__2019_04_16_Natural4 Número de licencias de aprovechamiento familiar en un período dado (año) Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other text/xml other other other other other geonode:a__2019_04_16_Natural5 Sumatoria de las extensiones de bosques que han sido afectadas por los distintos eventos (incendio forestal) en el municipio en un año. Media (2010-2017 cuando datos disponibles) La información es extraída del Sistema de Información Territorial Trinacional (SINTET) (http://sintet.net) que permite tener acceso a información pública de más de 54 municipios de la Región Trifinio, compartida por El Salvador, Guatemala y Honduras. Los indicadores de Gestión Territorial de la Región Trifinio buscan medir los impactos de las acciones llevadas a cabo por los programas y proyectos ejecutados por los gobiernos municipales, instituciones públicas, instituciones no gubernamentales, mancomunidades, asociaciones de municipios y organismos de cooperación internacional que interviene en la Región Trifinio de El Salvador, Guatemala y Honduras. Se tomaron en consideración los indicadores relacionados con el Capital Social, el Capital Físico y el Capital Natural a nivel municipal, cuando el municipio hace parte de la región Trifinio, definida por el proyecto GGRETA. Se tomó un valor que abarca el periodo de (2010 a 2017) (media, valor más elevado según los datos analizados). Para información más detallada anualmente visite el sitio: http://sintet.net. Groundwater EPSG:32616 CRS:84 -89.722830026137 -88.80368356797406 14.124682655352148 14.953455869637033 other other other other text/xml other other geonode:a__3103_Poblacion_total0 Población total por municipio en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Population Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290337 14.113213188985084 15.098424829609968 other text/xml other other other other other other text/xml other other other other geonode:a__3201_Areas_Cafe1 Áreas de producción de café en la región del Trifinio (Ha) por municipio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Agriculture Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other text/xml other other other other other other text/xml other other other other geonode:a__3202_Areas_de_Cultivos Áreas de bosque en la región del Trifinio (Ha) por municipio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Biodiversity Agriculture EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other text/xml other other other other other other text/xml other other other other geonode:a__3202_Areas_de_Cultivos1 features _3202_Areas_de_Cultivos EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 geonode:a__3202_Areas_de_Cultivos2 Áreas de cultivo de granos básicos (productos principales en la dieta alimentaria del país tales como el maíz, el arroz, los frijoles, etc) en la región del Trifinio (Ha) por municipio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Agriculture Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other other other other text/xml other other other other other other other text/xml geonode:a__3202_Areas_de_Cultivos3 Áreas de producción de horticultura en la región del Trifinio (Ha) por municipio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Agriculture Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other text/xml other other other other other text/xml other other other other other geonode:a__3205_Riego_Potencial Areas con potencial para el riego en la Región Trifinio (Ha) por municipio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Agriculture Irrigation Groundwater EPSG:32616 CRS:84 -89.8719017359859 -88.71141563290334 14.113213188985084 15.098424829609968 other text/xml other other other other other text/xml other other other other other geonode:a__3501_Mercados_municipales Localización de los mercados municipales en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Population Groundwater EPSG:32616 CRS:84 -89.74986587992144 -88.9533253236915 14.176061584468387 14.841489554305886 other text/xml other other other other other text/xml other other other other other geonode:a__3502_Mercados_semanales Localización de los mercados para ventas durante los fines de semana en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:32616 CRS:84 -89.74845048647819 -88.78827392775925 14.176061584468387 14.730321549695955 other other other other text/xml other text/xml other other other other other other geonode:a__4202_Precipitacion16N0 Precipitaciones anuales (mm) en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:32616 CRS:84 -89.88451095022504 -88.70403684957753 14.119421390824249 15.110221558115132 other other other other other other text/xml geonode:a__4203_Temperaturas Temperaturas medias anuales (º C) en la región Trifinio Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:4326 CRS:84 -89.871900824 -88.711385713 14.113213189 15.098357169 other text/xml other other other other other geonode:a__4301_Geologia Unidades geológicas de la Región Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:26716 CRS:84 -89.871772957588 -88.71132183795386 14.122654615919826 15.099280433219562 other text/xml other other other other other text/xml other other other other other geonode:a__4302_Suelos_TRI_WGS84_utm_N17 Descripción de unidades correlacionales de suelos en la Región Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto. "Acuífero Esquipulas-Ocotepeque-Citalá". UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Transboundary Ecohydrology Groundwater EPSG:32617 CRS:84 -89.88834307664104 -88.70132996562685 14.110795496980312 15.107633879556515 other other other other text/xml other other geonode:a__4302_Suelos_TRI_ajustado Descripción de unidades correlacionales de suelos en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:4326 CRS:84 -89.8637098189232 -88.7145302725548 14.1144936276348 15.0953579774792 other text/xml other other other other other other text/xml other other other other geonode:a__4501_4502_Zonificacion_Hidrica3 Zonificación hídrica potencial de la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:32616 CRS:84 -89.87190173634434 -88.711415632856 14.113213189423018 15.098424829279416 other other other other text/xml other other other other text/xml other other other geonode:a__4505_Hidrologia_TRI17N Unidades hidrogeológicas de la Región Trifinio. Información colectada de la publicación: Catálogo de Objetos Geográficos, Proyecto. "Acuífero Esquipulas-Ocotepeque-Citalá". UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Transboundary Ecohydrology Groundwater EPSG:32617 CRS:84 -89.88829222281927 -88.70148534217252 14.110795496980312 15.1064093460012 other other other other text/xml other other geonode:a__4505_Hidrologia_TRI_corregido02 Unidades hidrogeológicas de la Región Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Groundwater EPSG:4326 CRS:84 -89.8637098189232 -88.71465978295 14.1144936276348 15.0941053033256 other other other other text/xml other other other other other text/xml other other geonode:a__4606_Cobertura_20102 _4606_Cobertura_2010 features EPSG:32616 CRS:84 -89.87192333849255 -88.71150631276441 14.111250567859756 15.096844469907937 geonode:a__4606_Cobertura_20103 Cobertura de bosques y uso del suelo (2010) de la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Biodiversity EPSG:32616 CRS:84 -89.87192333849255 -88.71150631276441 14.111250567859756 15.096844469907937 other other other other text/xml other text/xml other other other other other other geonode:a__4805_Focos_de_Contaminacion Focos de Contaminación en la región del Trifinio. Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014 Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/ Pollution Groundwater EPSG:32616 CRS:84 -89.39236432325835 -89.03443525683771 13.641644262289008 15.355469095704368 other other other other text/xml other other other other other text/xml other other geonode:actualevap This layer represents the actual evapotranspiration in 2006, in million cubic meters. Volumes evapostranspirated are volumes of water that enters the atmosphere through evaporation from land and water surfaces as well as transpiration from plants.Data for other years are also available in the table. Those estimates are provided by the Environment Statistics Section of the United Nation Statistics Division (UNSD). For more information, visit the Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Ecohydrology EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other text/xml other other other geonode:agriculture_water_stress The Agricultural Water Stress indicator identifies agricultural water stress of agricultural land under irrigation. It is calculated as the mean annual irrigation water consumption divided by the sum of mean annual runoff (MMR). For more information, visit: http://twap-rivers.org/ Stress Surface water Irrigation Agriculture Basin Transboundary EPSG:4326 CRS:84 -164.47140062099996 145.02916666700003 -54.74998541999997 71.63810509300004 other other other other text/xml other other other other other other text/xml other geonode:aquastat_contribution_transboundary_water2 Also called the dependency ratio indicator. Methods of calculation: Dependency ratio = 100 percent*(IWR)/ ([IWR] + [IRWR]) (Equation 6) IWR = SW1IN + SW2IN + SWPR + SWPL + GWIN (Equation 7) Where: IWR = total volume of incoming water resources from neighbouring countries; IRWR = internal renewable water resources; SW1IN = volume of surface water entering the country which is not submitted to treaties; SW2IN= volume of surface water entering the country which is secured through treaties; SWPR = accounted flow of border rivers; SWPL = accounted part of shared lakes; GWIN = groundwater entering the country. For more information, visit: http://www.fao.org/nr/water/aquastat/maps/index.stm and http://www.fao.org/docrep/005/y4473e/y4473e07.htm Supply Transboundary EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other text/xml other other other other geonode:aquastat_fao_millenium1 This layer shows the demographic growth rate between 1992 and 2015, and provides baseline information for the analysis of the evolution of "Millenium Development Goal (MDG) 7: Ensure environmental sustainability" water-related targets. Population EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other other text/xml geonode:aqueduct_global_drought_severity Drought severity measures the average length of droughts times the dryness of the droughts from 1901 to 2008. Drought is defined as a contiguous period when soil moisture remains below the 20th percentile. Length is measured in months, and dryness is the average number of percentage points by which soil moisture drops below the 20th percentile. Drought EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other text/xml other other geonode:aqueduct_global_flood_occurence Flood occurrences is the number of flood recorded from 1985 to 2011. Flood counts were calculated by intersecting hydrological units with estimated flood extent polygons. Flood Risk Basin Exposure EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other text/xml other other other other geonode:aqueduct_global_groundwater_stress Groundwater stress measures the ratio of groundwater withdrawal relative to its recharge rate over a given aquifer. Values above one indicate where unsustainable groundwater consumption could affect groundwater availability and groundwater-dependent ecosystems. Depletion Stress Groundwater EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other text/xml other other other other text/xml other other other other other other geonode:aqueduct_global_interannual_variability Inter-annual variability measures the variation in water supply between years. Drought Surface water Flood EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other other text/xml other geonode:aqueduct_global_return_flow_ratio Return flow ratio measures the percent of available water previously used and discharged upstream as wastewater. Higher values indicate higher dependence on treatment plants and potentially lower water quality in areas that lack sufficient treatment infrastructure and policies. Arid areas with low water use are shown in grey, and scored as low stress when calculating aggregated scores. Quality Pollution Basin Waste EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other other text/xml other geonode:aqueduct_global_seasonal_variability Seasonal variability measures variation in water supply between months of the year. Drought Surface water Flood EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other text/xml other other geonode:aqueduct_global_threatened_amphibians Measures the percentage of freshwater amphibian species classified by IUCN as threatened. Higher values indicate more fragile freshwater ecosystems and may be more likely to be subject to water withdrawal and discharge regulations. For each catchment, the total number of threatened freshwater amphibian species was counted and divided by the total number of freshwater amphibian species whose ranges overlap the catchment. Catchments with fewer than two amphibian species were excluded. Biodiversity Risk EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other text/xml other other geonode:aqueduct_global_upstream_protected_land Upstream protected land measures the percentage of total water supply that originates from protected ecosystems. Modified land use can affect the health of freshwater ecosystems and have severe downstream impacts on both water quality and quantity. IUCN category V protected lands, as well as a large number of unclassi ed proposed lands, breeding centers, municipal parks, cultural and historic sites, and exclusively marine areas, are excluded. Biodiversity Surface water EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other text/xml other other other other other other other text/xml other other other geonode:aqueduct_global_upstream_storage Upstream storage measures the water storage capacity available upstream of a location relative to the total water supply at that location from 1950 to 2010. Higher values indicate areas more capable of buffering variations in water supply (i.e. droughts and floods) because they have more water storage capacity upstream. Supply Surface water Storage Basin Ecohydrology EPSG:4326 CRS:84 -179.99900834271713 179.99999999986983 -55.907841860778376 83.63432689118486 other other other other text/xml other other other other other other text/xml other geonode:arabstates features arabstates EPSG:4326 CRS:84 -17.1041946999999 59.836579762 8.63755889300006 37.5598821 geonode:arabstates0 Pas de résumé features arabstates EPSG:4326 CRS:84 -17.1041946999999 59.836579762 8.63755889300006 37.5598821 other other other other text/xml other other geonode:bluecons This layer represents estimation of the mean annual blue water footprint of national consumption for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The blue water footprint refers to consumption of blue water resources (surface and ground water). Estimations are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.1445706000001 other other other other text/xml other other other other other other text/xml other geonode:borehole_in_refugee_sites_type_pump1 This map was developed for the WASH section of the UNHCR by CartONG. It displays boreholes assessed by WASH focal points in different refugee sites and provides information on different types of pumps that are used, the depth in meter and the energy source. It also provides information on the concentration of chemical pollutants in water such as nitrate, arsenic and ammonia. For more information, visit: http://wash.unhcr.org/wash-gis-portal/ Population Pollution Groundwater EPSG:4326 CRS:84 -8.06730833 92.16730833 -21.07155 34.66395 other text/xml other other other other other text/xml other other other other other geonode:boreholestas This layer shows the boreholes in the the Stampriet Transboundary Aquifer System (STAS) which is shared by Botswana, Namibia and South Africa. Abstraction Transboundary Groundwater EPSG:4326 CRS:84 17.40727 21.075 -26.41917 -22.64761 other other other other text/xml other other other other other text/xml other other geonode:bouldercitylimits features bouldercitylimits EPSG:2876 CRS:84 -105.30159160506462 -105.17799631479143 39.96417673981426 40.09461709344867 geonode:challenges_capacities_africancitites1 This layer shows limits pose by challenges and capacities to African cities. Although the main challenges in terms of magnitude exist in the larger cities, these are also relatively better-placed in terms of institutional and economic capacity to address the problems through economies of scale. Most smaller cities lack this advantage and clearly need to focus on capacity-building as a necessary step towards improving their water and wastewater management systems. For more information, acces the 2017 UN World Water Development Report: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2017-wastewater-the-untapped-resource/ Waste Capacity-building Human settlements EPSG:4326 CRS:84 -17.3660286 39.2083284 -33.924741 15.5006544 other other other other text/xml other other other other other text/xml other other geonode:cities This map presents cities largely dependent on groundwater. For more information, visit: www.whymap.org Supply Groundwater EPSG:4326 CRS:84 -157.86200597699997 139.8090093070001 -34.634831848999966 64.10546746400007 other other other other text/xml other other other other other text/xml other other geonode:coastal_aquifers_mediterranean_v1 This map presents information on coastal aquifers in the Mediterranean. For additional information on the assessment of risks and uncertainties relating to Mediterranean coastal aquifers and legislative, policy and institutional frameworks, visit: http://www.inweb.gr/index.php?option=com_wrapper&view=wrapper&Itemid=220 Transboundary Groundwater Coast EPSG:4326 CRS:84 -5.492908985472369 36.427996498655396 29.927385330199666 45.50536943648933 other text/xml other other other other other text/xml other other other other other geonode:cs_events2 This layer provides a compilation of estimated storm surges triggered by tropical cyclones of Saffir-Simpson category (Don't forget to zoom on the coasts!). The Saffir–Simpson Hurricane Wind Scale classifies hurricanes into five categories distinguished by the intensities of their sustained winds. To be classified as a hurricane, a tropical cyclone must have maximum sustained winds of at least 74 mph (Category 1), to winds exceeding 156 mph (Category 5). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surg Disaster Flood Risk Exposure EPSG:4326 CRS:84 -179.99999999999997 179.99166666652266 -52.59166657892743 59.99999991211919 other text/xml other other other other other other text/xml other other other other geonode:cs_frequency_1 This layer presents an estimation of surges triggered by tropical cyclone frequency of Saffir-Simpson category (Don't forget to zoom on the coasts you are interested in!) Here, unit is expected average number of event per year. However, source unit is expected average number of event per 1000 year. For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surges&evcat=2&lang=eng Disaster Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -52.59166666671494 60.00833333324003 other other other other text/xml other other other other text/xml other other other geonode:cwm_v2_2_city_disttodsvsn The average distance to surface diversion sources is expressed in kilometers. Today, cities are looking farther beyond their limits for clean water. On average, cities retrieve surface water from an average distance of 57.86 km. Note that if a city gets a small fraction of its water from surface water, there will be calculated values for this metric, but it is not particularly meaningful for a city's water risk or opportunity profile. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Drinking water Surface water Basin Supply EPSG:4326 CRS:84 -149.892125304589 174.764644430869 -43.5276516815744 61.2176695432676 other other other other text/xml other other other other other other text/xml other geonode:cwm_v2_2_city_numsources This layer presents the number of water sources (surface and non-surface) from which cities around the world harvest water. On average, cities retrieve water from 4 different sources. Note that if a city gets a small fraction of its water from surface water, there will be calculated values for this metric, but it is not particularly meaningful for a city's water risk or opportunity profile. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Supply Drinking water EPSG:4326 CRS:84 -149.892125304589 174.764644430869 -43.5276516815744 61.2176695432676 other other other other text/xml other other other other other text/xml other other geonode:cwm_v2_2_city_transfer This layer shows the percentage of water sourced from watershed(s) outside the watershed within which a given city resides. On average, cities secure 43% of their water supply via intebasin transfers. Note that if a city gets a small fraction of its water from surface water, there will be calculated values for this metric, but it is not particularly meaningful for a city's water risk or opportunity profile. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Abstraction Drinking water Supply EPSG:4326 CRS:84 -149.892125304589 174.764644430869 -43.5276516815744 61.2176695432676 other text/xml other other other other other text/xml other other other other other geonode:d_climat_Todos Climatological map of the duration of the Midsummer Drought or Canicula in days in Central America and selected Caribbean Countries Drought Scarcity Risk EPSG:4326 CRS:84 -120.206734851 -68.30673485099993 6.791071735000003 41.89107173499998 other text/xml other other other other other geonode:dams_centralasia This map provides detailed information about dams (e.g. uses, capacity, ...) in Central Asia. For more information, visit FAO AQUASTAT Dams Geo-referenced database: www.fao.org/nr/water/aquastat/dams/index.stm Storage EPSG:4326 CRS:84 54.7167 84.25 35.9333 53.8394 other text/xml other other other other other other text/xml other other other other geonode:dams_southamerica This map provides detailed information about dams (e.g. uses, capacity, ...) in South America. For more information, visit FAO AQUASTAT Dams Geo-referenced database: www.fao.org/nr/water/aquastat/dams/index.stm Use/Reuse Ecohydrology Storage EPSG:4326 CRS:84 -80.2038 -53.0463 -43.7 8.0 other text/xml other other other other other other text/xml other other other other geonode:data_diarrhoea This layer represents the estimated percentage of post-neonatal (1 month old to 5 years old) deaths due to diarrhoea out of the total number of post-neonatal deaths for each country in 2015. Those estimates are provided by the World Health Organization and by the Maternal and Child Epidemiology Estimation Group (MCEE-John Hopkins University). Data for neonatal and under five children are also available by clicking in a specific country. You can access the report here: http://apps.who.int/iris/bitstream/10665/43840/1/9789241596435_eng.pdf For more information and to access the raw data, visit the WHO website: http://apps.who.int/gho/data/view.main.ghe1002015-CH3?lang=en Youth Health EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other other other other text/xml other other other other other other text/xml other geonode:data_malaria4 This layer represents the estimated percentage of post-neonatal (1 month old to 5 years old) deaths due to malaria out of the total number of post-neonatal deaths for each country in 2015. Those estimates are provided by the World Health Organization and by the Maternal and Child Epidemiology Estimation Group (MCEE-John Hopkins University). Data for neonatal and under five children are also available by clicking in a specific country. You can access the report here: http://apps.who.int/iris/bitstream/10665/43840/1/9789241596435_eng.pdf For more information and to access the raw data, visit the WHO website: http://apps.who.int/gho/data/view.main.ghe1002015-CH8?lang=en Quality Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:demosites_database_ecohydrology2 This layer presents ecohydrology engineering solutions that are used in 20 demonstration sites worldwide, which apply ecohydrology as a way of dealing with environmental challenges through engineering solutions. Since 2011, UNESCO-IHP promotes the establishment of various demosites around the world to apply ecohydrology principles and solutions in watersheds at all scales, to solve both social and environmental issues. The full data are available online. For more information, visit the Ecohydrology Web Platform: http://ecohydrology-ihp.org/demosites/ Ecohydrology EPSG:4326 CRS:84 -83.566667 151.183333 -40.166667 59.333333 other other other other text/xml other other other other other text/xml other other geonode:depth_to_groundwater_africa1 Depth to groundwater, in meters below ground level, was modelled using an empirical rules-based approach, where depth to groundwater was assigned according to rainfall and aquifer type, as well as proximity to rivers. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html Stress Groundwater EPSG:4326 CRS:84 -17.45 51.3 -34.81399690999999 37.33600309 other other other other other other text/xml geonode:desal_nc Today, cities are looking farther beyond their limits for clean water. Some cities involve desalinization procedures, investing billions of dollars to partially supply clean water. This kind of process in energy intensive, therefore, countries with a combination between water scarce and oil rich are the most probable to use this technique. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Supply Drinking water Human settlements EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other text/xml other other geonode:dischargepoints_notaffect1 This layer presents wastewater discharge points where comprehensive studies indicate whether or not the discharge adversely affects the environment. In 2012, 6.1% of discharge points had been studied, out of which 1.3% were affecting the environment. Such information was provided by Member States to the Commission. Those data were collected from the reporting of European Union Member States, as part of the Urban Waste Water Treatment Directive (UWWTD) implementation. The Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. Its objective is to protect the environment from the adverse effects of the above mentioned waste water discharges. For more information, visit the UWWTD waterbase website: www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-4#tab-european-data Biodiversity Quality Pollution Risk Waste EPSG:4326 CRS:84 -63.15087928775049 55.823100000000004 -21.4703 69.9934 other other other other text/xml other other other other other other text/xml other geonode:dischargepoints_typereceivingarea This layer presents wastewater discharge points and the sensitivity of receiving areas. Those data were collected from the reporting of European Union Member States, as part of the Urban Waste Water Treatment Directive (UWWTD) implementation, which concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. Its objective is to protect the environment from the adverse effects of the above mentioned waste water discharges. For more information, visit the UWWTD waterbase website: www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-4#tab-european-data, and access the Directive: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:31991L0271 Quality Pollution Waste EPSG:4326 CRS:84 -63.15087928775049 55.823100000000004 -21.4703 69.9934 other other other other text/xml other other other other other text/xml other other geonode:dischargepoints_waterbodytype This layer presents wastewater discharge points and the type of water body in which used water is discharged. Those data were collected from the reporting of European Union Member States, as part of the Urban Waste Water Treatment Directive (UWWTD) implementation. The Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. Its objective is to protect the environment from the adverse effects of the above mentioned waste water discharges. For more information, visit the UWWTD waterbase website: www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-4#tab-european-data Quality Pollution Basin Waste EPSG:4326 CRS:84 -63.15087928775049 55.823100000000004 -21.4703 69.9934 other other other other text/xml other other other other text/xml other other other geonode:dr1010ipeykx This layer presents an estimation of the annual physical exposition to drought based on Standardized Precipitation Index. Unit is expected average annual population (2010 as the year of reference) exposed (inhabitants). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=droughts&evcat=4&lang=eng Drought Disaster Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -90.0 83.99999999993042 other text/xml other other other other other other other other other other text/xml geonode:dr1010ipeykx-test WCS GeoTIFF dr1010ipeykx EPSG:4326 CRS:84 -20.0 -10.0 13.0 19.0 geonode:droughtecoexp1 Estimation of the annual economical exposition to drought based on Standardized Precipitation Index. It is based on three sources: 1) A global monthly gridded precipitation dataset obtained from the Climatic Research Unit (University of East Anglia). 2) A GIS modeling of global Standardized Precipitation Index based on Brad Lyon (IRI, Columbia University) methodology. 3) A Global Domestic Product grid for the year 2010, provided by the World Bank. Unit is expected average annual GDP (2007 as the year of reference) exposed in (US $, year 2000 equivalent). For more information, visit: preview.grid.unep.ch/index.php?preview=data&events=droughts&evcat=5&lang=eng Cost Drought Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -90.0 83.99999999993042 other text/xml other other other other other text/xml other other other other other geonode:environmental_water_stress The Environmental Water Stress in Transboundary River Basins indicator focuses on the water quantity aspect and considers hydrological alterations from monthly dynamics of the natural flow regime due to anthropogenic water uses and dam operations. For more information, visit: http://twap-rivers.org/ Stress Transboundary Surface water Basin EPSG:4326 CRS:84 -164.47140062099996 145.02916666700003 -54.74998541999997 71.63810509300004 other text/xml other other other other other text/xml other other other other other geonode:fl1010ieeykx1 This layer presents an estimation of the annual economical exposition to flood. Unit is expected average annual GDP (2010 as the year of reference) exposed (in US $, year 2000 equivalent). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=floods&evcat=4&lang=eng Cost Flood Disaster Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -90.0 83.99999999993042 other text/xml other other other other other text/xml other other other other other geonode:fl1010ipeykx1 This layer presents an estimation of the annual physical exposition to flood. Unit is expected average annual population (2007 as the year of reference) exposed (inhabitants). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=floods&evcat=3&lang=eng Disaster Flood Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -90.0 83.99999999993042 other text/xml other other other other other other text/xml other other other other geonode:fl1010irmt This layer presents an estimation of the global risk induced by flood hazard. Unit is estimated risk index from 1 (low) to 5 (extreme). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=floods&evcat=5&lang=eng Disaster Flood Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999999858 -90.0 83.99999999999932 other text/xml other other other other text/xml other other other other other other geonode:floodoccurence_1 The flood occurence is a normalized indicator of the number of floods recorded from 1985 to 2011, using the total number of floods observed in that period. The indicator was created by the World Resources Institute (WRI) and ranges from 0-5, where 0 is lowest and 5 is highest. Values represent the "All-sector" indicator, and have been rounded to the nearest tenth by AQUASTAT. For more information, see WRI original analysis here: wri.org/publication/aqueduct-country-river-basin-rankings. Visit the FAO Aquastat website: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Flood Risk Exposure EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:freshgwabs2 Volume of fresh groundwater abstracted by country in 2007 is expressed in million cubic meter. Information in the table is available from 1990 to 2015. Groundwater refers to water present in the earth's crust in a saturated or non-saturated soil, weathered mantel or consolidated rock formation. Groundwater supplies drinking water to at least half of the world's population, and accounts for more than 40% of the water used for irrigation. Over the past 50 years, groundwater abstraction has increased by more than 300%. For more information, visit the Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Abstraction Groundwater EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -52.60759353599997 83.14457060000007 other other other other text/xml other other other other other other text/xml other geonode:freshsgtotalabs This layer represents the volume of freshwater abstracted in 2007 in million cubic meters. Freshwater abstracted refers to the sum of both fresh surface water and fresh groundwater abstracted. Values are also available for other years. Those estimates are provided by the Environment Statistics Section of the United Nation Statistics Division (UNSD). For more information, visit the UN Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Abstraction Surface water Groundwater EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -56.52469999999994 83.14457060000007 other other other other text/xml other other other other other text/xml other other geonode:freshswabs2 This layer represents the volume of fresh surface water abstracted in 2007 in million cubic meters (MCM). Fresh surface water are in contact with the athmosphere and can be found in rivers, lakes and wetlands. Data for other years are also available in the table. Those estimates are provided by the Environment Statistics Section of the United Nation Statistics Division (UNSD). For more information, visit the Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Abstraction Surface water EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other other other other text/xml other geonode:gmia_v5_aai_pct_aei1 Area actually irrigted, as a percentage of area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm Agriculture Irrigation EPSG:4326 CRS:84 -164.1666666666673 179.9999999999856 -55.416666666668036 70.49999999999359 other other other other text/xml other other other text/xml other other other other geonode:gmia_v5_aei_pct_cellarea1 Area equipped for irrigation as percentage of total 5 arc-minute grid cell area. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm Agriculture Irrigation EPSG:4326 CRS:84 -164.1666666666673 179.9999999999856 -55.416666666668036 70.49999999999359 other other other other text/xml other other other other other other text/xml other geonode:gmia_v5_aeigw_pct_aei1 Area equipped for irrigtion with groundwater as a percentage of total area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm Agriculture Irrigation Groundwater EPSG:4326 CRS:84 -164.1666666666673 179.9999999999856 -55.416666666668036 70.49999999999359 other other other other text/xml other other other other text/xml other other other geonode:gmia_v5_aeinc_pct_aei1 Area equipped for irrigation with water from non-conventional water sources as a percentage of total area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm Agriculture Irrigation EPSG:4326 CRS:84 -164.1666666666673 179.9999999999856 -55.416666666668036 70.49999999999359 other other other other text/xml other other other other other text/xml other other geonode:gmia_v5_aeisw_pct_aei1 Area equipped for irrigation with surface water as percentage of area equipped for irrigation. The statistics with a reference year closest to year 2005 were selected for this version 5 of the Global Map of Irrigation Areas. For mor information, visit: http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm Surface water Agriculture Irrigation EPSG:4326 CRS:84 -164.1666666666673 179.9999999999856 -55.416666666668036 70.49999999999359 other other other other text/xml other other other other text/xml other other other geonode:greencons This layer represents estimation of the mean annual green water footprint of national consumption for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The green water footprint is the volume of green water (rainwater) consumed, which is particularly relevant in crop production. Estimation are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. Methodology and results can be found in the main report: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.1445706000001 other text/xml other other other other other text/xml other other other other other geonode:greycons It presents estimations of the mean annual grey water footprint of national consumption for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The grey water footprint is the volume of freshwater required to assimilate the load of pollutants based on existing ambient water quality standards. Unit is cubic meter per year per capita. Disaggregated data per sectors are available in the table: agricultural production, industrial production and domestic water. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Conflict Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.1445706000001 other other text/xml other other other other geonode:groundwater_nc Today, cities are looking farther beyond their limits for clean water. Many cities rely partially or totally on non-surface water like groundwater. The study of the Natural Conservancy focus on the analysis of surface water quality, while accounting for the groundwater importance in urban supply but without evaluation of the sustainability of the source. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Human settlements Drinking water Groundwater Supply EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other other other other text/xml other other other other other text/xml other other geonode:groundwater_productivity_processed_1 This 5 km resolution grid indicates what borehole yields (in l/s) can reasonably be expected in different hydrogeological units. The ranges indicate the approximate interquartile range of the yield of boreholes that have been sited and drilled using appropriate techniques. Groundwater productivity is given in liters per second. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html Supply Groundwater EPSG:4326 CRS:84 -17.410949709999997 51.239050289999994 -34.82380822 37.27619178 other text/xml other other other other other other text/xml other other other other geonode:groundwater_storage_processed This 5 km resolution grid presents groundwater storage in Africa (in mm). This parameter was estimated by combining the saturated aquifer thickness and effective porosity of aquifers across Africa. For each aquifer flow/storage type an effective porosity range was assigned based on a series of studies across Africa and surrogates in other parts of the world. Groundwater storage is given in millimeters. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html Groundwater Storage EPSG:4326 CRS:84 -17.410949709999997 51.239050289999994 -34.84380821999999 37.30619178 other text/xml other other other other other text/xml other other other other other geonode:gwpollriskafrio Groundwater pollution risk is determined both by the intrinsic vulnerability of the aquifer and the existence of potentially polluting activities at the soil surface. This raster has a resolution of 15*15 km. It was generated by combining a groundwater vulnerability model (based on the DRASTIC method) with land use/land cover (from the GlobCoverdatat set) using an additive model. For more information, visit: http://www.sciencedirect.com/science/article/pii/S0048969715311189 Risk Pollution Groundwater Exposure EPSG:4326 CRS:84 -22.03760035801744 64.65754716408149 -34.85186035721271 37.363400950755924 other text/xml other other other other other other text/xml other other other other geonode:heavy_groundwater_abstraction This map presents areas of heavy groundwater abstraction with over-exploitation around the world. For more information, visit: www.whymap.org Depletion Abstraction Groundwater EPSG:4326 CRS:84 -120.59898350899999 143.31477622400007 -30.883760758999983 42.25156327600007 other text/xml other other other other other text/xml other other other other other geonode:hepatitisa_fem This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis A for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:hepatitisa_male This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis A for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:hepatitise_fem_1 This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis E for 50-69 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other other text/xml other geonode:hepatitise_male_1 This layer represents the percentage of total Disability-Adjusted Life Year attributable to hepatitis E for 50-69 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:hg_units_all_merged_1 Groundwaters of the Dinaric Karst form some of the world's largest karst aquifer systems. The Dinaric region contains huge amounts of high quality groundwater. It is one of the major contributors of freshwater entering the Adriatic Sea. The Dinaric Karst Aquifer System extends from NE Italy through Slovenia, Croatia, Bosnia & Herzegovina, Montenegro to Albania. Karst formations connected with the Dinaric carbonate chain outcrop also in Serbia, FYR Macedonia, and possibly in NW Greece. In the framework of the DIKTAS GEF-project (2010-2014) executed by UNESCO-IHP, the four DIKTAS project countries (Albania, Bosnia and Herzegovina, Croatia and Montenegro) have agreed to create two mechanisms in order to facilitate enhanced consultation and exchange of information between the governmental entities that are involved in water resources management. For more information, visit: http://diktas.iwlearn.org/ Transboundary Groundwater Karst EPSG:4258 CRS:84 13.47392226100004 20.992126465000073 39.922005338071344 46.174830673057706 other text/xml other other other other other text/xml other other other other other geonode:hrshortagesfscmanfin1 This layer shows human resources capacity gaps for achieving full service coverage in the field of management and finance. For more information, visit: www.iwa-network.org/downloads/1422745887-an-avoidable-crisis-wash-gaps.pdf Efficiency Human resources Capacity-building Sanitation EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other text/xml other other other other geonode:hrshortagesfscwatsan1 This layer shows human resources capacity gaps for achieving full service coverage in the field of water and sanitation. For more information, visit: www.iwa-network.org/downloads/1422745887-an-avoidable-crisis-wash-gaps.pdf Efficiency Human resources Capacity-building Sanitation EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:hrshortagesmdgmanfin1 This layer shows human resources capacity gaps for achieving MDG in the field of management and finance. For more information, visit: www.iwa-network.org/downloads/1422745887-an-avoidable-crisis-wash-gaps.pdf Efficiency Human resources Capacity-building Sanitation EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:hrshortagesmdgwatsan1 This layer shows human resources capacity gaps for achieving MDG in the field of water and sanitation. For more information, visit: www.iwa-network.org/downloads/1422745887-an-avoidable-crisis-wash-gaps.pdf Efficiency Human resources Capacity-building Sanitation EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:human_water_stress The Human Water Stress indicator deals with the quantity of water available per person per year relative to the internal and upstream area water supplies, on the premise that the less water available per person, the greater the impact on human development and well-being, and the less water there is available for other sectors. For more information, visit: http://twap-rivers.org/ Stress Supply Surface water Basin Transboundary EPSG:4326 CRS:84 -164.47140062099996 145.02916666700003 -54.74998541999997 71.63810509300004 other text/xml other other other other other other other text/xml other other other geonode:hydropower_plants Water accounts for the main source of production of electrical power in the Dinaric Alps, and contribute significantly to the countries’ economies. Albania gains 83 % of all electricity from hydropower plants, Montenegro 75 %, Bosnia and Herzegovina 60% and Croatia 54 %. Data were collected in the framework of the DIKTAS project. For more information, visit the DIKTAS project website: http://diktas.iwlearn.org/resources/projectdocuments/transboundart-diagniostics-analysis/transboundary-diagnostic-analysis-tda/view Karst Transboundary Surface water Use/Reuse EPSG:4258 CRS:84 14.455266699000047 20.683333000000058 40.11666599907024 45.614756117057084 other text/xml other other other other other other other text/xml other other other geonode:igb_abstraction_processed This 1 km resolution grid shows the estimated mean annual groundwater abstraction in millimeters across the Indo-Gangetic basin based on data from 2010. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Stress Abstraction Groundwater EPSG:4326 CRS:84 67.17354965 95.97354965 21.30041801 33.06041801 other other other other text/xml other other other other other other text/xml other geonode:igb_salinity_processed This 1 km resolution grid shows salinity measured as total dissolved solids (TDS, in mg/l) in the groundwater across the Indo-Gangetic basin. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Quality Groundwater EPSG:4326 CRS:84 67.14852300000001 95.97852300000001 21.309685710000004 33.07968571 other text/xml other other other other other text/xml other other other other other geonode:igb_storage_change_processed This 1 km resolution grid shows the estimated mean annual groundwater storage change (in cm) across the aquifer based on annual groundwater-level change and specific yield. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Abstraction Groundwater Storage EPSG:4326 CRS:84 67.14852300000001 95.968523 21.291265690000003 33.071265690000004 other other other other text/xml other text/xml other other other other other other geonode:igb_wt_trend_processed This 1 km resolution grid shows mean annual change in water-table levels across the aquifer during the period 2000 to 2010 in meters per year. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdp The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html Stress Abstraction Groundwater EPSG:4326 CRS:84 67.19094628 95.97094627999999 21.291265690000003 33.06126569 other text/xml other other other other other other text/xml other other other other geonode:iles Comoros archipelago is made of four islands. Ngazidja, Mwali and Ndzuwani forms the Union of Comoros, while Mayotte remains under French administration. Governance EPSG:4326 CRS:84 43.2285560001199 45.3001118900524 -13.0003718961601 -11.3652759999957 other text/xml other other other other other geonode:indicator_data_improved_sanitation_cities This map presents the percentage of population with access to improved sanitation for the last collected values in world cities during the period 1990 to 2007. It also provides information for older data up to 1990. For more information, visit: http://urbandata.unhabitat.org Accessibility Sanitation EPSG:4326 CRS:84 -70.667041 140.69998 -33.920011 43.32499 other text/xml other other other other other other other other text/xml other other geonode:indicator_data_improved_water_sustai_cities1 This map presents the percentage of population with sustainable access to an improved water source for the last collected values in world cities during the period 1990 to 2006. It also provides information for older data up to 1990. For more information, visit: http://urbandata.unhabitat.org Drinking water Accessibility Supply EPSG:4326 CRS:84 -13.680235 140.69998 -33.920011 43.32499 other other other other text/xml other other other other other other text/xml other geonode:indicator_data_improved_water_sustai_cities10 features indicator_data_improved_water_sustai_cities1 EPSG:4326 CRS:84 -13.680235 140.69998 -33.920011 43.32499 1999-01-01T00:00:00.000Z,2002-01-01T00:00:00.000Z,2003-01-01T00:00:00.000Z,2004-01-01T00:00:00.000Z,2005-01-01T00:00:00.000Z,2006-01-01T00:00:00.000Z geonode:interanvar This water supply interannual variability is a normalized indicator of the variation in water supply between years. Estimations are given for the year 2013. Interannual variability is calculated as the standard deviation of annual total blue water divided by the mean of total blue water from 1950 to 2010. The indicator was created by the World Resources Institute (WRI) and ranges from 0-5, where 0 is lowest and 5 is highest. Values represent the "All-sector" indicator, and have been rounded to the nearest tenth by AQUASTAT. For more information, see WRI original analysis here: wri.org/publication/aqueduct-country-river-basin-rankings. Visit the FAO Aquastat website: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Supply Risk EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:iwa_city_charges1g Total charges for a consumption of 100m³, expressed in US dollars, for 165 cities. The full data are available online. For more information, visit: www.waterstatistics.org Cost Drinking water EPSG:4326 CRS:84 -123.120738 141.354376 -38.735902 65.012089 other text/xml other other other other other other text/xml other other other other geonode:iwa_city_charges6 Total charges is expressed in US dollars. The amount of total charges is derived from the addition of total charges for drinking water, environmental charges, and VAT and/or other taxes. The full data are available online. For more information, visit: www.waterstatistics.org Cost Use/Reuse Drinking water EPSG:4326 CRS:84 -123.120738 141.354376 -38.735902 65.012089 other text/xml other other other other other text/xml other other other other other geonode:iwa_city_consumption1 This water consumption is expressed in liters/capita/day. The consumption of potable water is widely variable, with a large gap between cities. Household consumption per capita varies from 28 to 631 liters per day, a factor of 20. The full data are available online. For more information, visit: www.waterstatistics.org Supply Drinking water EPSG:4326 CRS:84 -123.120738 151.209296 -38.735902 65.012089 other other other other text/xml other other other other other other other text/xml geonode:lac_nonindigenous_access_to_piped_water2 This layer presents the percentage of Non-Indigenous people who have access to piped water services in 13 countries of the Latin America and Caribbean (LAC) region. In LAC, Indigenous peoples are 10 to 25 percent less likely to have access to piped water than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage. For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y Population Drinking water Accessibility EPSG:4326 CRS:84 -118.36423659999997 -28.848191499999928 -56.52469999999994 32.71676000000008 other text/xml other other other other other text/xml other other other other other geonode:lac_nonindigenous_access_to_sanitation2_1 This layer presents the percentage of Non-Indigenous people who have access to improved sanitation services in 11 countries of the Latin America and Caribbean (LAC) region. In LAC, Indigenous peoples are 26 percent less likely to have access to to improved sanitation than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage. For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y Population Accessibility Sanitation EPSG:4326 CRS:84 -118.36423659999997 -28.848191499999928 -56.52469999999994 32.71676000000008 other other other other text/xml other other other other other text/xml other other geonode:lacindigenous_access_to_piped_water2 This layer presents the percentage of Indigenous people who have access to piped water services in 13 countries of the Latin America and Caribbean (LAC) region. In LAC, Indigenous peoples are 10 to 25 percent less likely to have access to piped water than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage. For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y Population Drinking water Accessibility EPSG:4326 CRS:84 -118.36423659999997 -28.848191499999928 -56.52469999999994 32.71676000000008 other text/xml other other other other other other text/xml other other other other geonode:lacindigenous_access_to_sanitation This layer presents the percentage of Indigenous people who have access to improved sanitation services in 11 countries of the Latin America and Caribbean (LAC) region. In LAC, Indigenous peoples are 26 percent less likely to have access to to improved sanitation than the region’s Non-Indigenous populations. Lack of access to Water Supply and Sanitation (WSS) services perpetuates chronic poverty. Extending the human right of access to WSS services to Indigenous peoples represents the final step for many countries of the region to reach universal water coverage. For more information, access the report here: https://openknowledge.worldbank.org/bitstream/handle/10986/25405/110266-WP-Toolkit-Indigenous-Peoples-and-WSS-in-LAC-PUBLIC.pdf?sequence=1&isAllowed=y Population Accessibility Sanitation EPSG:4326 CRS:84 -118.36423659999997 -28.848191499999928 -56.52469999999994 32.71676000000008 other text/xml other other other other other text/xml other other other other other geonode:lacindigenous_access_to_sanitation2 test lacindigenous_access_to_sanitation2 Abstraction features EPSG:4326 CRS:84 -118.3642366 -28.8481914999999 -56.5246999999999 32.7167600000001 other other other other text/xml other other geonode:lacindigenous_access_to_sanitation21 features lacindigenous_access_to_sanitation2 EPSG:4326 CRS:84 -118.36423659999997 -28.848191499999928 -56.52469999999994 32.71676000000008 geonode:landfills_and_dumpsitesl Landfills are rarely properly constructed or lined and therefore represent a potential source of contamination.Solid waste in the form of hundreds of unregulated landfills and illegal dumping sites in Croatia, Bosnia-Herzegovina, Montenegro and Albania constitutes one of the main threats to the overall groundwater quality of the Dinaraic Karst Transboundary Aquifer System (DIKTAS). For the vulnerable karst environment of the Dinaric region, which has a very limited auto-purification capacity, this is the most serious current as well as (potential) future problem. Data were collected in the framework of the DIKTAS project. For more information, visit: http://diktas.iwlearn.org/resources/projectdocuments/transboundart-diagniostics-analysis/transboundary-diagnostic-analysis-tda/view Karst Transboundary Pollution Waste EPSG:4258 CRS:84 13.58599079600009 20.777807000000053 40.61407899906762 45.45134924005698 other other other other text/xml other other other other other other text/xml other geonode:mab_biosphere_reserves Composed of 669 biosphere reserves in 120 countries, including 16 transboundary sites, the World Network of Biosphere Reserves (WNBR) of the UNESCO Man And Biosphere (MAB) Programme consists of a dynamic and interactive network of sites of excellence. It works to foster the harmonious integration of people and nature for sustainable development through participatory dialogue, knowledge sharing, poverty reduction, human well-being improvements, respect for cultural values and by improving society’s ability to cope with climate change. For more information, visit: http://www.unesco.org/new/en/natural-sciences/environment/ecological-sciences/man-and-biosphere-programme/ Biodiversity EPSG:4326 CRS:84 -167.73 166.48 -55.15 77.2 other other other other text/xml other other other other text/xml other other other geonode:megacities_drinking_water_available Amount is expressed in cubic meters. Use/Reuse Supply Drinking water Megacities EPSG:4326 CRS:84 -118.243683 139.839478 -34.603722 51.509865 other text/xml other other other other other other text/xml other other other other geonode:megacities_drinking_water_lenghtpipes Data is in kilometers. For more information, visit: http://ihp-wins.unesco.org/documents/82 Supply Drinking water Megacities EPSG:4326 CRS:84 -118.243683 139.839478 -34.603722 51.509865 other text/xml other other other other other text/xml other other other other other geonode:megacities_wastewater_coverage Data is expressed as the percentage of households connected to the sewage network. Waste Sanitation Megacities EPSG:4326 CRS:84 -118.243683 139.839478 -34.603722 51.509865 other other other other text/xml other other other other other other text/xml other geonode:merge_cyclo_ecoexp__1_5_4_3_2_ This layer presents an estimation of the annual economical exposition to tropical cyclone surges. (Don't forget to zoom on the coast!) Unit is expected average annual GDP (2010 as the year of reference) exposed in (US $, year 2000 equivalent). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surges&evcat=4&lang=eng Cost Flood Disaster Risk Exposure EPSG:4326 CRS:84 -180.0 179.99999999985602 -90.0 83.99999999993042 other text/xml other other other other other other other text/xml other other other geonode:mozambique_ali_2013031_geo_2 This layer shows NASA's Earth Observing-1 (EO-1) satellite images of the lower Limpopo River on 31 January 2013. After days of torrential rain pushed the lower Limpopo River over its banks in late January 2013, flood water surrounded the city of Xai-Xai in southern Mozambique. The death toll in Mozambique reached 68, and the estimated number of people affected ranged from 180,000 to 250,000. For more information, visit NASA's Earth Observatory page: http://earthobservatory.nasa.gov/IOTD/view.php?id=45200 Disaster Flood EPSG:32736 CRS:84 33.494370606289394 33.832059507955314 -25.264740915797827 -24.805133168280783 other text/xml other other other other text/xml other other other other other other geonode:namibia_schools_femaleratio2 Results of a baseline survey of the sanitation and hygiene conditions in schools of Namibia as a part of UNESCO’s World Map Points of Interests Initiative (2014). As an example the ratios (56 boys (+/- 1.5) per 1 toilet, and 48 girls (+/- 1.8) per 1 toilet) only tell part of the story. Education Gender Hygiene Sanitation EPSG:4326 CRS:84 12.84722 25.19388 -28.50009 -17.39397 other other other other text/xml other other other other other text/xml other other geonode:nationalrainfallindex2 The National Rainfal Index (NRI) is defined as the national average of the total annual precipitation weighted by its long-term average (here, the average rainfall covering the years 1986 and 2001). The NRI can be used as an indicator of the quality of the agricultural season. Here, the median of the 1998-2003 period is provided. For more information on the NRI, please see the dedicated Climpag page: http://www.fao.org/nr/climpag/nri/nrilist_en.asp Visit the FAO Aquastat website at: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Agriculture Surface water EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:nationalwblue2_1 The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, grey water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat Cost Agriculture Use/Reuse EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -56.52469999999994 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:nationalwblue2_10 The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, blue water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:nationalwgreen1_1 The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, green water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other text/xml other other other other other text/xml other other other other other geonode:nationalwgrey1_1 The national water saving of a country as a result of trade in a certain commodity is calculated as the net import volume of this commodity times the water footprint of the commodity per commodity unit in the country considered. A negative sign means a net national water loss instead of a saving. Here, grey water savings through the trade of industrial and agricultural products are considered. Annual estimations are given for the period 1996-2005, in million cubic meter per year. In the table, data are also disaggregated per commodities: crop products, animal products, and industrial products. Methodology and results can be found here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:noaccesstohw_fem_1 This layer represents the percentage of Disability-Adjusted Life Year attributable to the lack of access to handwashing facility for in 2015, for 5 to 14 year-old females. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:noaccesstohw_male_1 This layer represents the percentage of total Disability-Adjusted Life Years (DALYs) attributable to the lack of access to handwashing facility in 2015, for 5 to 14 year-old males. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:ocotepeque_citala_aquifer The Ocotepeque-Citala Aquifer is a small alluvial transboundary aquifer shared by Honduras and El Salvador. It is located in a mountainous valley and is characterised by strong links between groundwater and surface water, in this specific case the transboundary Río Lempa. Transboundary Groundwater EPSG:4326 CRS:84 -89.25062610252945 -89.1747367325288 14.337018276900444 14.536706176750853 other other other other text/xml other other other other other text/xml other other geonode:ocotepeque_citala_boreholes_v1 This map provides information (water quality, water level, etc...) of boreholes, dug wells, springs and surface water intake points in the transboundary Ocotepeque-Citala Aquifer. Supply Transboundary Groundwater EPSG:4326 CRS:84 -89.30340659 -89.08798283 14.27296542 14.54075203 other other other other text/xml other other other other other text/xml other other geonode:ocotepeque_citala_tds_dryseason This map provides information on Total Dissolved Solids (TDS) in mg/L in the Ocotepeque-Citala Aquifer in dry season (April). Quality Transboundary Groundwater EPSG:4326 CRS:84 -89.30340659 -89.08798283 14.27296542 14.54075203 other other other other text/xml other other other other other other text/xml other geonode:ocotepeque_citala_tds_rainyseason This map provides information on Total Dissolved Solids (TDS) in mg/L in the Ocotepeque-Citala Aquifer in rainy season (July). Quality Transboundary Groundwater EPSG:4326 CRS:84 -89.30340659 -89.08798283 14.27296542 14.54075203 other text/xml other other other other other other other other text/xml other other geonode:other_type_nc Today, cities are looking farther beyond their limits for clean water. Some cities are already investing in other water sources such as recycled water, rainwater harvest or private sector vendors. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Supply Drinking water Human settlements EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:overallsdg652_wins_1 UNECE and UNESCO as co-custodian agencies, were responsible for compiling and verifying country data and metadata. Indicator 6.5.2 tracks the percentage of transboundary basin area within a country that has an operational arrangement for water cooperation. Transboundary Surface water Groundwater EPSG:4326 CRS:84 -180.0 180.0 -89.900001526 83.6274185180001 other text/xml other other other other other geonode:pakistan_tmo_2010223_geo This layer shows NASA's Earth Observing-1 (EO-1) satellite images of Pakistan on August 11, 2010, after two weeks of flooding had devastated the country. By early August 2010, two weeks of devastating monsoon rains had transformed the landscape of Pakistan, pushing rivers over their banks, inundating villages, washing away bridges and roads, destroying crops, and killing livestock. By August 12, 2010, more than 1,600 people had perished, according to news reports, and the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) estimated that more than 14 million people had been affected in some way. For more information, visit NASA's Earth Observatory page: http://earthobservatory.nasa.gov/IOTD/view.php?id=45200 Disaster Flood EPSG:4326 CRS:84 60.7324 79.37400156250027 23.589810937499802 37.0986 other other other other text/xml other other other text/xml other other other other geonode:paratf_fem This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbdNote : Value -99 indicates that no data is available. A detailed description of the methodology and additional resources related to this topic can be found here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the IHME website: http://www.healthdata.org/gbd Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other other other other other text/xml geonode:paratf_male This layer represents the percentage of total Disability-Adjusted Life Year attributable to paratyphoid fever for 5-14 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:parties_protocol_1999 The UNECE-WHO/Europe Protocol on Water and Health aims to protect human health and well being by better water management and by preventing, controlling and reducing water-related diseases. The Protocol was adopted on 17 June 1999. For the current participation status of the Protocol, as well as information and relevant texts of related treaty actions, such as reservations, declarations, objections, denunciations and notifications, see: https://treaties.un.org/Pages/ViewDetails.aspx?src=TREATY&mtdsg_no=XXVII-5-a&chapter=27&clang=_en Transboundary Surface water Law EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other text/xml other other other geonode:parties_tb_conventions_19921997l The 1992 UNECE Convention aims to protect and ensure the quantity, quality and sustainable use of transboundary water resources by facilitating cooperation, and provides an intergovernmental platform for the day-to-day development and advancement of transboundary cooperation. Negotiated as a regional instrument, it turned into a universally available legal framework for transboundary water cooperation, following the entry into force of amendments in February 2013, opening it to all UN Member States. As of 1st March 2016, countries outside the ECE region can accede to the Convention. The 1997 United Nations Convention on the Law of the Non-Navigational Uses of International Watercourses is the only treaty governing shared freshwater resources that is of universal applicability. It is a framework convention, in the sense that it provides a framework of principles and rules that may be applied and adjusted to suit the characteristics of particular international watercourses. Transboundary Surface water Groundwater Law EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:per_treated_wastewater_arabregion2 This layer shows the percentage of safely treated wastewater that is being used in the Arab region, mostly for irrigation and groundwater recharge. At the Arab regional level, 23% of the safely treated wastewater is being used. For more information, access the 2017 UN World Water Development Report: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2017-wastewater-the-untapped-resource/ Quality Use/Reuse Waste EPSG:4326 CRS:84 -17.104194699999937 59.83657976200004 8.637558893000062 37.55988210000004 other other other other text/xml other other other other other text/xml other other geonode:popwwcoll This layer represents percentage of population connected to a wastewater collecting system, with or without treatment, in 2009. The table also provides data for other years . For more information, visit the Environment Statistics Section website: https://unstats.un.org/unsd/environment/default.htm. Information on the methodology can be found in the report on International Recommendations for Water Statistics: https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf Human settlements Waste popwwcoll features EPSG:4326 CRS:84 -179.14828629999997 179.77219800000012 -56.52469999999994 83.14457060000007 other other other text/xml other other other geonode:popwwtreat No abstract provided. features popwwtreat EPSG:4326 CRS:84 -179.1482863 179.772198 -56.5246999999999 83.1445706000001 other other other other text/xml other other geonode:ramsar_convention_countries1 Ramsar sites are wetlands recognized for their international importance, according to the eponymous Convention (signed in 1971, entered into force in 1975). The Convention's mission is "the conservation and wise use of all wetlands through local and national actions and international cooperation, as a contribution towards achieving sustainable development throughout the world". As of March 2017, there are over 2200 Ramsar sites around the world, covering over 2.1 million km². For more information about wetlands of international importance, visit the convention's website: http://www.ramsar.org/about/the-importance-of-wetlands Biodiversity Law EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:river_basins_dinaricalps The total surface area of the Adriatic basin in the four countries is 65,545 km² while the Black Sea basin covers 44,865 km² of the project area. Dash lines represent the limit between sub-basins. Data was collected in the framework of the DIKTAS project. For more information, visit the DIKTAS project website: http://diktas.iwlearn.org/resources/projectdocuments/transboundart-diagniostics-analysis/transboundary-diagnostic-analysis-tda/view Karst Transboundary Basin EPSG:4258 CRS:84 13.494402335000075 20.96230515000008 39.938780787071266 45.673706724057105 other other other other text/xml other other other other other other other text/xml geonode:river_lake_basins The dataset comprises the GIS layer of 405 major river and lake basins of the world. Data was collected within the framework of the BGR-UNESCO "World-wide Hydrogeological Mapping and Assessment Programme" (WHYMAP): www.whymap.org Transboundary Surface water Basin EPSG:4326 CRS:84 -164.68819174399997 177.7417144220001 -50.795471859999964 75.80599444900008 other other other other text/xml other other other other other other text/xml other geonode:rivers_and_streams_polylines_all_ese1 This layer shows rivers and streams in the Dinaric Alps region. Data were collected in the framework of the DIKTAS project. For more information, visit the DIKTAS project website: http://diktas.iwlearn.org/resources/projectdocuments/transboundart-diagniostics-analysis/transboundary-diagnostic-analysis-tda/view Karst Transboundary Surface water EPSG:4258 CRS:84 13.528042810000045 20.916330815000038 39.939263525071226 45.64717245405714 other text/xml other other other other other text/xml other other other other other geonode:saline_groundwater This map presents areas identified as having saline groundwater (i.e. salinity regionally exceeding 5 g/l), and where groundwater is generally not suitable for human consumption. For more information, visit: www.whymap.org Quality Pollution Groundwater EPSG:4326 CRS:84 -69.80878114099994 148.4464346100001 -50.12333781799998 49.45113927500006 other text/xml other other other other other other text/xml other other other other geonode:sdg62_1 Population using an improved sanitation facility at the household level that is not shared with other households and where excreta is safely disposed of in situ or treated off site, including a handwashing facility with soap and water in the household. Improved sanitation facilities include flush or pour flush toilets to sewerage systems, septic tanks or pit latrines, improved pit latrines (pit latrines with a slab or ventilated pit latrines) and composting toilets. A handwashing facility is a device to contain, transport or regulate the flow of water to facilitate handwashing. Use/Reuse Hygiene Sanitation SDGs EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other other text/xml geonode:sdg6_1_1 Population using an improved drinking water source (piped water into dwellings, yards or plots; public taps or standpipes; boreholes or tubewells; protected dug wells; or protected springs and rainwater) that is located on premises and available when needed and which is free of faecal and priority chemical contamination. SDGs Drinking water Human settlements EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other other text/xml other other other geonode:sdg_6_4_2_1 Ratio between total freshwater withdrawn by all economic activities (based on ISIC categories) and total renewable freshwater resources, after taking into account environmental water requirements (also known as water withdrawal intensity). This indicator includes water withdrawals by all economic activities, focusing on agriculture, manufacturing, electricity, and water collection, treatment and supply. Stress SDGs EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other text/xml other other other other other geonode:sdg_6_a_1_1 Defined as the amount and percentage of ODA that is included in a government coordinated spending plan, whether on treasury or on budget. ODA flows are official financing with the main objective of promoting economic development and welfare of developing countries; they are concessional in character with a grant element of at least 25%. By convention, ODA flows comprise contributions from donor government agencies, at all levels, to developing countries, either bilaterally or through multilateral institutions. A government coordinated spending plan is defined as a financing plan/budget for water and sanitation projects, clearly assessing the available sources of nance and strategies for nancing future needs. Drinking water Sanitation Cost Governance Capacity-building EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other text/xml other other other other other geonode:seasonalvar The water supply seasonal variability is a normalized indicator of the variation in water supply between months of the year. Estimations are given for the year 2014. Seasonal variability is calculated as the standard deviation of monthly total blue water divided by the mean of total blue water calculated using the monthly mean. The indicator was created by the World Resources Institute (WRI) and ranges from 0-5, where 0 is lowest and 5 is highest. Values represent the "All-sector" indicator, and have been rounded to the nearest tenth by AQUASTAT. For more information, see WRI original analysis here: wri.org/publication/aqueduct-country-river-basin-rankings. Visit the FAO Aquastat website: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Supply EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:sites Ramsar Sites are wetlands considered to be of international importance. The international convention which forms the basis for their identification is commonly referred to as the "Ramsar Convention" after the city in Iran where the convention was signed in 1971. The Convention is an intergovernmental treaty that provides the framework for the conservation and wise use of wetlands and their resources. There are currently over 2,200 Ramsar Sites around the world. They cover over 2.1 million square kilometres, an area larger than Mexico. For more information, visit: www.ramsar.org Biodiversity Surface water EPSG:4326 CRS:84 -122.85284406 166.9990835760001 -54.77435882299994 71.09643850200007 other text/xml other other other other other text/xml other other other other other geonode:spr_auob_riskhuman features spr_auob_riskhuman EPSG:4326 CRS:84 18.7907353203789 21.0779089248572 -25.4805977511852 -23.114021878207 geonode:spr_auob_riskhuman0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 18.7907353203789 21.0779089248572 -25.4805977511852 -23.114021878207 other other text/xml other other other other geonode:spr_kalahari_riskhuman features spr_kalahari_riskhuman EPSG:4326 CRS:84 17.6483043866382 20.7433231741254 -26.4207013720705 -23.1299419261789 geonode:spr_kalahari_riskhuman0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 17.6483043866382 20.7433231741254 -26.4207013720705 -23.1299419261789 other other text/xml other other other other geonode:spr_kalahari_risklivestock features spr_kalahari_risklivestock EPSG:4326 CRS:84 19.2227474333475 20.7175618144262 -26.1891915786284 -24.8397699344349 geonode:spr_kalahari_risklivestock0 features spr_kalahari_risklivestock EPSG:4326 CRS:84 19.2227474333475 20.7175618144262 -26.1891915786284 -24.8397699344349 geonode:spr_nossob_riskhuman features spr_nossob_riskhuman EPSG:4326 CRS:84 18.028859517053 20.8366235043714 -26.2962311989107 -23.4294249619923 geonode:spr_nossob_riskhuman0 features spr_nossob_riskhuman EPSG:4326 CRS:84 18.028859517053 20.8366235043714 -26.2962311989107 -23.4294249619923 geonode:spr_nossob_risklivestock features spr_nossob_risklivestock EPSG:4326 CRS:84 19.1102337782663 19.1798337997901 -24.6956009859966 -24.6406693764905 geonode:spr_nossob_risklivestock0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Quality Groundwater EPSG:4326 CRS:84 19.1102337782663 19.1798337997901 -24.6956009859966 -24.6406693764905 other other text/xml other other other other geonode:spr_physiography_districts features spr_physiography_districts EPSG:4326 CRS:84 14.4501780566345 25.7978496551514 -27.9841649370186 -21.0458087921143 geonode:spr_physiography_population features spr_physiography_population EPSG:4326 CRS:84 18.0553209998643 20.4984639998138 -26.3332999999949 -22.9967320001816 geonode:spr_physiography_population0 This shapefile forms part of the output from the Stampriet Transboundary Aquifer System Project: http://wis.orasecom.org/stas Population EPSG:4326 CRS:84 18.0553209998643 20.4984639998138 -26.3332999999949 -22.9967320001816 other other text/xml other other other other geonode:spr_physiography_stasboundary This layer shows the boundaries for the Stampriet Transboundary Aquifer System (STAS). The riparian states for this aquifer are Botswana, Namibia and South Africa. Transboundary Groundwater EPSG:32632 CRS:84 17.381969713754955 21.098796016920332 -26.392638534571685 -22.567379771505294 other text/xml other other other other other other text/xml other other other other geonode:surface_nc Today, cities are looking farther beyond their limits for clean water. Many cities rely partially or totally on surface water sources. The study of the Natural Conservancy focus on the analysis of surface water quality and quantity. This footprint analysis involve 534 cities, who draw water from 20 percent of the world’s land surface. For more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf You can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true Human resources Supply Surface water Drinking water EPSG:4326 CRS:84 -149.8921253 174.7646444 -43.52765168 61.21766954 other text/xml other other other other other other text/xml other other other other geonode:surfwatenter_1 This layer represents the average volume of surface water that entered the country in 2014 through transboundary flows. The table also provide information on the volume of surface water leaving a country and that is not submitted to formal agreements or treaties, the volume which is submitted to treaties, and through formal agreements or treaties, all in km3/yr. For more information, please see this example of the calculation rules: http://www.fao.org/nr/water/aquastat/data/wrs/readPdf.html?f=AFG-WRS_eng.pdf Visit the FAO Aquastat website at: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Transboundary Surface water Vulnerability Agreement EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:surfwatleave_1 This layer represents the average volume of surface water that left the country to other countries in 2014. It refers to water leaving through transboundary flow (rivers, canals, pipes) in km3/year, but not to water flowing to the sea through The table also provide information on the volume of surface water leaving a country and that is not submitted to formal agreements or treaties, the volume which is submitted to treaties, and through formal agreements or treaties, all in km3/yr. For more information, please see this example of the calculation rules: http://www.fao.org/nr/water/aquastat/data/wrs/readPdf.html?f=AFG-WRS_eng.pdf Visit the FAO Aquastat website at: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en Surface water Vulnerability Agreement EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:tba_map2015 The 2015 Map of Transboundary Aquifers of the World (2015 TBA Map) shows the information presently available on the occurrence and extent of Transboundary Aquifers worldwide. There are now 592 identified transboundary aquifers (including 226 transboundary ‘groundwater bodies' as defined in the European Union Water Framework Directive, EU WFD, underlying almost every nation. The map is based on the most recent results of an inventory of many projects of many projects carried out around the world within the framework of the Internationally Shared Aquifer Resources Management (ISARM) Programme launched by UNESCO-IHP in 2000. For more information, visit: www.isarm.org Transboundary Storage EPSG:4326 CRS:84 -122.68288207037236 144.2724910003427 -53.033047795482545 70.49351623588478 other text/xml other other other other other other other other text/xml other other geonode:test_copy_n3_asapply_n20 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n200 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n201 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n202 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n203 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n204 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n205 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n206 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n207 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:test_copy_n3_asapply_n208 features test_copy_n3_asapply_n20 EPSG:4326 CRS:84 11.9071165916 11.9178352966 44.8787640099 44.8833287989 geonode:thailand_ayutthaya_2011 This layer shows NASA's Earth Observing-1 (EO-1) satellite images of Ayutthaya (Thailand) flood on October 23, 2011. Flooding forced the closure of manufacturing plants in Ayutthaya, according to news reports. The city is a UNESCO World Heritage site. On 12 October 2011, UNESCO Bangkok announced a planned assessment of flood damage to Ayutthaya, requested by the government of Thailand. For more information, visit NASA's Earth Observatory page: http://earthobservatory.nasa.gov/IOTD/view.php?id=76234 Disaster Flood EPSG:32647 CRS:84 100.39841627904775 100.67884750646674 14.050777913930418 14.414109155314684 other text/xml other other other other text/xml other other other other other other monitoring:tiger_roads features tiger_roads EPSG:4326 CRS:84 -74.02722 -73.907005 40.684221 40.878178 geonode:toilet_ratio_elsalvador_female This layer presents the ratio of female learners to school toilets in 100 schools in 3 provinces of El Salvador. On average, 56 male learners share one toilet, whereas 51 female learners share the same toilet. From our responses, 9 schools indicated they had no toilet facilities, and data is missing for 3 schools. Education Sanitation Youth Gender Hygiene EPSG:4326 CRS:84 -89.37031 -89.0706 13.46398 13.73741 other text/xml other other other other other other text/xml other other other other geonode:toilet_ratio_elsalvador_male This layer presents the ratio of male learners to school toilets in 100 schools in 3 provinces of El Salvador. On average, 56 male learners share one toilet, whereas 51 female learners share the same toilet. From our responses, 9 schools indicated they had no toilet facilities, and data is missing for 3 schools. Education Sanitation Youth Gender Hygiene EPSG:4326 CRS:84 -89.37031 -89.0706 13.46398 13.73741 other text/xml other other other other other other text/xml other other other other geonode:toilet_ratio_peru_female This layer presents the ratio of female learners to school toilets in 53 schools in Lima province, Peru. On average, 30 female learners share one toilet, and 36 male learners share the same toilet. From the responses, two schools have no toilet facilities for girls. Education Sanitation Youth Gender Hygiene EPSG:4326 CRS:84 -77.17135 -77.01278 -12.0078 -11.744671 other text/xml other other other other other other other text/xml other other other geonode:toilet_ratio_peru_male This layer presents the ratio of female learners to school toilets in 53 schools in Lima province, Peru. On average, 30 female learners share one toilet, and 36 male learners share the same toilet. From the responses, two schools have no toilet facilities for girls. Education Sanitation Youth Gender Hygiene EPSG:4326 CRS:84 -77.17135 -77.01278 -12.0078 -11.744671 other other other other text/xml other other other other other text/xml other other geonode:tot_volume_wastewater_arabregion2 This layer shows the volume of collected wastewater in the Arab States, expressed in millions of cubic meters. Access to improved sanitation is largely prevalent in the Arab region, but connections to sewerage networks and wastewater treatment facilities remain more limited. Network coverage is generally provided in larger urban centers, while septic tanks and cesspits remain common in rural areas and in the region's least developed countries. Off-network sanitation systems, however, complicate te collection and treatment of wastewater and reduce the ability to sustainably manage wastewater as a resource in most areas. For more information, acces the 2017 UN World Water Development Report: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2017-wastewater-the-untapped-resource/ Quality Sanitation Waste EPSG:4326 CRS:84 -17.104194699999937 59.83657976200004 8.637558893000062 37.55988210000004 other other other other text/xml other other other other other other text/xml other geonode:totalcons This layer presents estimations of the mean annual water footprint of national consumption per capita for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources; it has three components: green, blue and grey. Estimations are given in cubic meter per capita per year. In the table, data are also available disaggregated per sectors: agricultural production, industrial production and domestic water use. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Cost Use/Reuse EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.1445706000001 other text/xml other other other other other other other other other text/xml other geonode:transboundary_river_basins The world’s transboundary river basins span 151 countries, include more than 2.8 billion people (around 42 % of the world’s population), cover 62 million km2 (42 % of the total land area of the Earth), and produce around 22 000 km3 of river discharge each year (roughly 54 % of the global river discharge). From earlier known transboundary river basin delineations ( 214 transboundary basins identified by UNDESA (1978), 261 by Oregon State University (1999), 263 by OSU (2002), 276 by OSU (2012)) the number has risen to 286. For more information, visit: http://twap-rivers.org/ Transboundary Surface water Basin EPSG:4326 CRS:84 -164.47140062099996 145.02916666700003 -54.74998541999997 71.63810509300004 other other other other text/xml other other other text/xml other other other other geonode:twap_cs_ga1_1l_1 Mean annual groundwater recharge depth is calculating by dividing the long-term mean groundwater recharge, including man-made components (returnflows, induced recharge, artificial recharge), by surface area of the whole aquifer. Indicator is expressed as mm/yr. For more information, visit the Transboundary Water Assessment Programme Portal on groundwater: https://ggis.un-igrac.org/ggis-viewer/viewer/twap/public/default Recharge Transboundary Groundwater EPSG:4326 CRS:84 -120.24367499363 137.68389794065 -53.0330477954825 61.3147001098753 other other other other text/xml other other other other other other text/xml other geonode:twap_cs_ga1_2 Calculated as the long-term mean transboundary groundwater recharge, including man-made components, divided by the number of inhabitants of the area occupied by the aquifer. Indicator is expressed in m3/yr/capita Population Recharge Transboundary Groundwater EPSG:4326 CRS:84 -120.24367499362974 137.68389794065035 -53.033047795482545 61.314700109875275 other text/xml other other other other other other text/xml other other other other geonode:twap_cs_ga1_3 The Groundwater Natural Background Quality indicators stands for the percentage of the transboundary aquifer (TBA) area where groundwater natural quality satisfies local drinking water standards. In north-eastern Africa, parts of the Middle East and Northern India and Pakistan, low recharge values in TBAs are combined with high population densities. In these areas, return flows from irrigation and other human induced recharge appear to play a major role in the sustainability of groundwater resource utilization. Very low natural quality (< 20 per cent of the aquifer area) coincides with TBAs highly impacted by irrigation return flows in densely populated areas with low to medium natural recharge, like the Nubian, Indus, Pre Caspian TBAs. For more information, visit: https://ggis.un-igrac.org/ggis-viewer/viewer/twap/public/default Quality Transboundary Drinking water EPSG:4326 CRS:84 -120.24367499362974 137.68389794065035 -53.033047795482545 61.314700109875275 other text/xml other other other other other other text/xml other other other other geonode:twap_cs_ga1_5 Transboundary aquifer vulnerability to climate change is calculated as the extent of expected groundwater budget regime change in response to change in climate. A high vulnerability is indicative of transboundary aquifers actively interacting with streams, atmosphere and/or sea (e.g. coastal aquifers, SIDS, shallow watertable aquifers, karst aquifers). Climate change Transboundary Groundwater Vulnerability EPSG:4326 CRS:84 -120.24367499362974 137.68389794065035 -53.033047795482545 61.314700109875275 other text/xml other other other other other text/xml other other other other other geonode:twap_cs_ga1_6f Groundwater vulnerability is a natural property of a groundwater system that depends on the sensitivity of the system to human impacts. Data on this complex indicator are very scarce. For more information, visit the Transboundary Water Assessment Programme Portal on groundwater: https://ggis.un-igrac.org/ggis-viewer/viewer/twap/public/default Quality Pollution Transboundary Groundwater Vulnerability EPSG:4326 CRS:84 -120.24367499363 137.68389794065 -53.0330477954825 61.3147001098753 other text/xml other other other other other other other other other other text/xml geonode:types_flood_events1 The information presented highlights large flood events from 1985 to 2016 identified by the Dartmouth Flood Observatory. For more information, visit: floodobservatory.colorado.edu/Archives/index.html For mapping purposes, some types of flood events have been merged into one, under the "MAINCAUSEF" attribute. Please refer to the "MAINCAUSE" attribute for original data. Flood EPSG:4326 CRS:84 -173.454396 179.651012 -52.825563 68.159115 other text/xml other other other other other other text/xml other other other other geonode:typhfevfem_1 This layer represents the percentage of total Disability-Adjusted Life Year attributable to typhoid fever for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other text/xml other other geonode:typhfevmale This layer represents the percentage of total Disability-Adjusted Life Year attributable to typhoid fever for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other other other other other text/xml other geonode:unescositesflood This layer shows UNESCO World Heritage site subjected to flood risk. Culture Risk Flood EPSG:4326 CRS:84 -179.7152778 175.5622222 -54.59472222 71.18888889 other text/xml other other other other other other text/xml other other other other geonode:unsafesan_fem_1 This layer represents the percentage of Disability-Adjusted Life Year attributable to unsafe sanitation in 2015, for 5 to 14 year-old females. Data for other age ranges are also available in the table. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:unsafesan_male_1 This layer represents the percentage of Disability-Adjusted Life Year attributable to unsafe sanitation in 2015, for 5 to 14 year-old males. Data for other age ranges are also available in the table. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Youth Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:unsafetotal_fem This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other other text/xml other other other geonode:unsafetotal_male This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:unsafews_fem2 This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water sources for 15-49 year-old females in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:unsafews_male This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water sources for 15-49 year-old males in 2015. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. Data for other age ranges are also available in the table. Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd Quality Gender Health EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:unworldwaterdevelopmentreport2 This layer shows events where the United Nations World Water Development Report 2017, entitled "Wastewater, The Untapped Resource" will be featured and discussed for its launch on 22 March 2017. The development of the WWDR, coordinated by UNESCO's World Water Assessment Programme (WWAP), is a joint effort of the UN agencies and entities which make up UN-Water, working in partnership with governments, international organizations, non-governmental organizations and other stakeholders. For more information, visit UNESCO-WWAP page: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/ Waste EPSG:4326 CRS:84 -88.77710044 106.916022 -24.685701 59.9294419 other other other other text/xml other other other other text/xml other other other geonode:vol_wastewater_industrie_eurnortham This layer shows the volume of wastewater generated by industry in the Europe and North America region, expressed in millions of cubic meters. Spain generates the largest volumes of industrial wastewater with 6535.2 millions m3, while Cyprus is the smallest producer of industrial wastewater with 1.9 millions m3. For more information, acces the 2017 UN World Water Development Report: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2017-wastewater-the-untapped-resource/ Quality Use/Reuse Waste EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:vwnetblue2 International virtual-water flows are calculated by multiplying, per trade commodity, the volume of trade by the respective average water footprint per ton of product in the exporting nation. Here, virtual blue water flows through trade of agricultural and industrial products for the period 1996-2005 is considered. Estimations are given in million cubic meter per year. In the table, data are also available disaggregated per types and import/export: a crop products, animal products, and industrial products. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:vwnetgreen_1 International virtual-water flows are calculated by multiplying, per trade commodity, the volume of trade by the respective average water footprint per ton of product in the exporting nation. Here, virtual green water flows through trade of agricultural and industrial products for the period 1996-2005 is considered. Estimations are given in million cubic meter per year. In the table, data are also available disaggregated per types and import/export: a crop products, animal products, and industrial products. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:vwnetgrey_1 International virtual-water flows are calculated by multiplying, per trade commodity, the volume of trade by the respective average water footprint per ton of product in the exporting nation. Here, virtual grey water flows through trade of agricultural and industrial products for the period 1996-2005 is considered. Estimations are given in million cubic meter per year. In the table, data are also available disaggregated per types and import/export: a crop products, animal products, and industrial products. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:wash_deaths_dalys2_1 This layer represents the number of Disability-Adjusted Life Years (DALYs) due to WASH. One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation. This layer also provides DALYs for each WASH-related disease. For more information about the DALY metrics, visit: http://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/# For more information, visit WHO website to access the report (http://apps.who.int/iris/bitstream/10665/43840/1/9789241596435_eng.pdf) and to access the raw data (http://www.who.int/quantifying_ehimpacts/publications/saferwater/en). Quality wash_deaths_dalys2_1 Health features EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other other other other text/xml other other geonode:wash_deaths_number1 This layer presents the percentage of deaths related to WASH (Water, Sanitation and Hygiene) out of the total number of deaths in each country in 2004. Those estimates are provided by the World Health Organization. This layer also provides data for each WASH-related disease. You can access the report here: http://apps.who.int/iris/bitstream/10665/43840/1/9789241596435_eng.pdf For more information and to access the raw data, visit the WHO website: http://www.who.int/quantifying_ehimpacts/publications/saferwater/en/ Hygiene Health Drinking water Sanitation EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other text/xml other other other other other geonode:wastewater_industries_eurnortham This layer shows industrial wastewater that is discharged after treatment, as a percentage of total industrial discharged in some countries of the Europe and North America region in 2010. On average, only 48.4% of wastewater was treated before being discharged. For more information, access the 2017 UN World Water Development Report: http://www.unesco.org/new/en/natural-sciences/environment/water/wwap/wwdr/2017-wastewater-the-untapped-resource/ Quality Pollution Use/Reuse Waste EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:wastewatertreat2 This layer represents the percentage of the population who is connected to a wastewater treatment plan for 36 countries (29 in Europe and North America, 3 in Asia and the Pacific, 3 in Latin America and the Caribbean, and 1 in Africa). However, data are available from 1975 to 2014 for 37 countries. This indicator presents sewage treatment connection rates, i.e. the percentage of the population connected to a wastewater treatment plant. “Connected” means actually connected to a wastewater treatment plant through a public sewage network. It does not take into account independent private facilities, used where public systems are not economic. For more information, visit the OECD database: https://data.oecd.org/water/waste-water-treatment.htm Waste EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other text/xml other other other other other other geonode:waterabstraction_mln_m3 This layer presents water abstraction in Million Cubic Meters per year for 32 countries (23 in Europe and North America, 5 in Asia and the Pacific, 4 in Latin America and the Caribbean) at the most recent date between 2008 and 2012. However, data are available from 1975 to 2014 for 39 countries. Water abstractions or water withdrawals, are defined as freshwater taken from ground or surface water sources, either permanently or temporarily, and conveyed to a place of use. The data include abstractions for public water supply, irrigation, industrial processes, cooling of electric power plants, mine water and drainage water. For more information, visit the OECD database: https://data.oecd.org/water/water-withdrawals.htm#indicator-chart Abstraction Surface water Groundwater EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other other text/xml other other other other geonode:waterabstraction_percap1 This layer presents water abstraction in Cubic Meters per capita per year for 32 countries (23 in Europe and North America, 5 in Asia and the Pacific, 4 in Latin America and the Caribbean) at the most recent date between 2008 and 2012. However, data are available from 1975 to 2014 for 39 countries. Water abstractions or water withdrawals, are defined as freshwater taken from ground or surface water sources, either permanently or temporarily, and conveyed to a place of use. The data include abstractions for public water supply, irrigation, industrial processes, cooling of electric power plants, mine water and drainage water. For more information, visit the OECD database: https://data.oecd.org/water/water-withdrawals.htm#indicator-chart Abstraction Surface water Groundwater EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other text/xml other other other other other geonode:waterservices_countries_delivered1 Data is given in m³/capita/year. The full data are available online. For more information, visit: www.waterstatistics.org Supply Drinking water EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:waterservices_countries_source2_desal_recyc2 Data is given as the percentage of water abstracted for drinking supply that comes from desalination of marine water and/or from recycled water. Other abstraction sources include: groundwater, spring water, surface water, and imported water. Use/Reuse Supply Drinking water EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other other text/xml other other other other geonode:waterservices_countries_source2_gwl Data is given as the percentage of water abstracted for drinking supply that comes from groundwater. Abstraction sources include: groundwater, spring water, surface water, other sources and imported water. Supply Drinking water Groundwater EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:waterservices_countries_source2_surfwater Data is given as the percentage of water abstracted for drinking supply that comes from surface water. Abstraction sources include: groundwater, spring water, surface water, other sources and imported water. The full data are available online. For more information, visit: www.waterstatistics.org Abstraction Drinking water Human settlements Supply EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -59.48427929999997 83.62741851800007 other text/xml other other other other other text/xml other other other other other geonode:wfpnatblue2 This layer presents estimation of the mean annual blue water footprint of national production for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The blue water footprint refers to consumption of blue water resources (surface and ground water). Estimations are given in million cubic meter per year (MCM/year). Disaggregated data per sectors are available in the table: agricultural production, industrial production and domestic water. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:wfpnatgreen2_1 This layer presents estimation of the mean annual green water footprint of national production for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The green water footprint is the volume of green water (rainwater) consumed, which is particularly relevant in crop production. Estimations are given in million cubic meter per year (MCM/year). Disaggregated data per sectors are available in the table: agricultural production, industrial production and domestic water. A detailed description of the methodology and results can be found in the main report available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other text/xml other other other other other geonode:wfpnatgrey2 This layer presents estimation of the mean annual grey water footprint of national production for the period 1996-2005. The water footprint is a measure of human’s appropriation of freshwater resources. The grey water footprint is the volume of freshwater required to assimilate the load of pollutants based on existing ambient water quality standards. Estimations are given in million cubic meter (MCM) per year. Disaggregated data per sectors are available in the table: agricultural production, industrial production and domestic water. The main report on the subject is available here: http://temp.waterfootprint.org/Reports/Report50-NationalWaterFootprints-Vol1.pdf . For more information, visit the Water Footprint Network website: http://temp.waterfootprint.org/?page=files/WaterStat Agriculture Use/Reuse Supply EPSG:4326 CRS:84 -180.0 180.0 -56.5246999999999 83.6274185180001 other other text/xml other other other other geonode:whymap_gw_aquifers_v2_poly This map provides data and information about the major groundwater resources of the world. About 35% of the area of the continents (excluding the Antarctic) is underlain by relatively homogeneous aquifers, 18% is endowed with groundwater, some of which are extensive, in geologically complex regions. Nearly half of the continental areas contain generally minor occurrences of groundwater that are restricted to the near-surface unconsolidated rocks, where groundwater resources are usually sufficient for small to medium-sized population centres. For more information, visit: www.whymap.org Groundwater EPSG:4326 CRS:84 -179.99997513399998 179.9999751250001 -89.99998574099999 83.62359952300005 other text/xml other other other other other other other text/xml other other other geonode:whymap_gw_vulnerability_v1_poly This map presents the intrinsic vulnerability of groundwater systems and the sensitivity or resistance of those systems to natural disasters. The concept of groundwater vulnerability takes into account that the geological characteristics of the aquifers and the physical environment provide different degrees of protection against natural or human activities related impacts. Aquifers in karst formations or in fluvial unconsolidated deposits of large rivers are highly vulnerable to floods and droughts, and coastal aquifers are particularly prone to tsunamis, while the groundwater resources in deep-seated aquifers are naturally less vulnerable and more resilient to external influences due to their protection from the earth surface by geological layers with low permeability. Some of these aquifers, if accurately managed, could supply drinking water in the post-disaster emergency phase, replacing damaged water supply systems. Drought Vulnerability Groundwater Flood EPSG:4326 CRS:84 -179.99999999999997 180.0000000000001 -58.49861408399994 83.62359952100007 other text/xml other other other other other other text/xml other other other other geonode:world_aquifer_systems This map presents the delineation of world's 37 largest aquifer systems. For more information, visit: www.whymap.org Transboundary Groundwater EPSG:4326 CRS:84 -124.68048123099993 151.51603672500005 -33.77444125899996 72.97469637200004 other text/xml other other other other text/xml other other other other other other geonode:world_rivers The dataset presents 687 rivers associated to 405 Major River Basins. Data was collected within the framework of the BGR-UNESCO "World-wide Hydrogeological Mapping and Assessment Programme" (WHYMAP): www.whymap.org Transboundary Surface water EPSG:4326 CRS:84 -164.50749206499998 177.39471435500002 -50.55278015099998 73.27192688000008 other text/xml other other other other other other text/xml other other other other geonode:worldheritagesites The United Nations Educational, Scientific and Cultural Organization (UNESCO) seeks to encourage the identification, protection and preservation of cultural and natural heritage around the world considered to be of outstanding value to humanity. This is embodied in an international treaty called the Convention concerning the Protection of the World Cultural and Natural Heritage , adopted by UNESCO in 1972. As of January 2017, 1052 sites are listed: 814 cultural, 203 natural, and 35 mixed properties, in 165 states parties. For more information, visit: whc.unesco.org/en/list/ Culture Biodiversity EPSG:4326 CRS:84 -179.7152778 178.8345333 -54.59472222 71.18888889 other text/xml other other other other other text/xml other other other other other geonode:wpdxbolivia_2017_03_15t4_41_53_last This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Bolivia. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -66.1751 -63.3358 -17.8862 -16.1799 other text/xml other other other other other other text/xml other other other other geonode:wpdxcolombia_2017_03_15t4_42_53l This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Honduras. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Supply Drinking water Storage EPSG:4326 CRS:84 -73.1425 -72.289 11.1091 11.7078 other other other other text/xml other other other other other other text/xml other geonode:wpdxelsalvador_2017_03_15t4_43_53 This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in El Salvador. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -90.0704 -88.5056 13.3103 13.8434 other text/xml other other other other other other text/xml other other other other geonode:wpdxguatemala_2017_03_15t4_44_53_last This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Guatemala. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -92.1054 -90.7233 13.9876 15.2547 other text/xml other other other other other text/xml other other other other other geonode:wpdxhaiti_2017_03_15t4_46 This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Haiti. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -72.6289 -71.7694 18.4518 19.7662 other text/xml other other other other other other other text/xml other other other geonode:wpdxhonduras_2017_03_15t11_14_12_last1 This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Honduras. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -88.2241 -85.1224 15.0408 15.9522 other text/xml other other other other other text/xml other other other other other geonode:wpdxmexico_2017_03_15t11_15_54 This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Mexico. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -99.0164 -96.0714 16.5017 19.7673 other text/xml other other other other other other text/xml other other other other geonode:wpdxnicaragua_2017_03_15t11_17_01_last This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Nicaragua. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -87.4528 -83.4301 11.4016 14.563 other text/xml other other other other other text/xml other other other other other geonode:wpdxperu_2017_03_15t11_17_56_last This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Peru. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector. The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently. For more information, visit the WPDx website at https://www.waterpointdata.org/ Drinking water Accessibility Supply EPSG:4326 CRS:84 -78.9062 -74.1076 -8.7578 -4.13585 other text/xml other other other other other text/xml other other other other other geonode:wpif This layer presents the Water Poverty Index (WPI) in 141 countries around the world. The WPI is a water management tool that expresses an interdisciplinary measure which links household welfare with water availability and indicates the degree to which water scarcity impacts on human populations. It is calculated using 5 components: resources, access, capacity, use, environment. The WPI combines measures of water availability and access with the people’s capacity to access water. People can be considered as « water poor » if the water is not enough available for their basic needs (they may have to walk a long way to get it or supplies may be limited) or if people can’t access to water even if it is available (for example if they can’t afford to pay for it). For more information, see the paper: http://econwpa.repec.org/eps/dev/papers/0211/0211003.pdf Scarcity Vulnerability Accessibility Supply EPSG:4326 CRS:84 -180.0 180.0 -59.4842793 83.6274185180001 other text/xml other other other other other other other other other other text/xml geonode:zonificationes_final_1 The Trifinio Fraternidad transboundary biosphere reserve is a tri-national biosphere reserve located between El Salvador, Guatemala and Honduras. It is the first transboundary biosphere reserve in Central America and represents a major contribution to implementation of the Mesoamerican Corridor. It includes key biodiversity areas, such as Montecristo National Park and a variety of forest ecosystems. For more information, visit: http://www.unesco.org/new/en/natural-sciences/environment/ecological-sciences/man-and-biosphere-programme/ Biodiversity Transboundary EPSG:4326 CRS:84 -89.58590568375564 -88.6925649366737 14.132472197127333 15.295493398757845 other other other other text/xml other other other other other text/xml other other