Approved
API endpoint that allows base resources to be viewed or edited.
GET /api/v2/resources/approved?format=api&page=2
{ "links": { "next": "http://ihp-wins.unesco.org/api/v2/resources/approved?format=api&page=3", "previous": "http://ihp-wins.unesco.org/api/v2/resources/approved?format=api" }, "total": 311, "page": 2, "page_size": 10, "resources": [ { "pk": "510", "uuid": "e2c0d024-1ec9-11e7-8719-005056bf7531", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 28, "username": "lakshmi.seewsagur", "first_name": "Lakshmi", "last_name": "Seewsagur", "avatar": "https://www.gravatar.com/avatar/c0bad0959406dfdc0b5e749e3ca78d52/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 28, "username": "lakshmi.seewsagur", "first_name": "Lakshmi", "last_name": "Seewsagur", "avatar": "https://www.gravatar.com/avatar/c0bad0959406dfdc0b5e749e3ca78d52/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 28, "username": "lakshmi.seewsagur", "first_name": "Lakshmi", "last_name": "Seewsagur", "avatar": "https://www.gravatar.com/avatar/c0bad0959406dfdc0b5e749e3ca78d52/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" }, { "name": "Pollution", "slug": "pollution" }, { "name": "Population", "slug": "Population" } ], "regions": [ { "code": "AFR", "name": "Africa" }, { "code": "SEA", "name": "Southeast Asia" } ], "category": { "identifier": "Water for human settlements" }, "title": "Boreholes in refugee sites", "abstract": "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.\r\n\r\nFor more information, visit: http://wash.unhcr.org/wash-gis-portal/", "attribution": null, "doi": null, "alternate": "geonode:borehole_in_refugee_sites_type_pump1", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -8.06730833, -21.07155 ], [ -8.06730833, 34.66395 ], [ 92.16730833, 34.66395 ], [ 92.16730833, -21.07155 ], [ -8.06730833, -21.07155 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-04-10T22:00:00Z", "date_type": "publication", "edition": "UNHCR WASH Website [http://wash.unhcr.org/wash-gis-portal/. Accessed on 06 April 2017]", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "No information provided", "data_quality_statement": "Data are available on: http://wash.unhcr.org/wash-gis-portal/", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "191", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/borehole_in_refugee_sites_type_pump1:geonode:borehole_in_refugee_sites_type_pump1", "embed_url": "/layers/geonode:borehole_in_refugee_sites_type_pump1/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.287881Z", "raw_abstract": "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/", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "No information provided", "raw_data_quality_statement": "Data are available on: http://wash.unhcr.org/wash-gis-portal/", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-e2c0d024-1ec9-11e7-8719-005056bf7531-thumb.png?v=993b294f" }, { "pk": "1239", "uuid": "a2645b8a-8e9f-11e8-b4de-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" } ], "regions": [ { "code": "CAM", "name": "Central America" }, { "code": "SLV", "name": "El Salvador" }, { "code": "GTM", "name": "Guatemala" }, { "code": "HND", "name": "Honduras" } ], "category": { "identifier": "Groundwater" }, "title": "Limites de la región del Trifinio", "abstract": "Representación de los limites de la región del Trifinio.\r\n\r\nInformación extraida de la publicación: \r\nCatálogo 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\r\n\r\nPara más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/", "attribution": null, "doi": "None", "alternate": "geonode:a__1108_Limite_Trifinio", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -89.85928757308577, 14.113213188985082 ], [ -89.8719017359859, 15.086733112545321 ], [ -88.71897389728643, 15.098424829609968 ], [ -88.71141563290335, 14.124119127685198 ], [ -89.85928757308577, 14.113213188985082 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2019-03-20T09:48:00Z", "date_type": "publication", "edition": "Comisión Trinacional del Plan Trifinio (CTPT), Sistema de Información Territorial (SIT)", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "spa", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "Auncune information fournie", "data_quality_statement": "", "group": { "pk": 93, "name": "GGRETA-OcotepequeCitala" }, "popular_count": "113", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:a__1108_Limite_Trifinio", "embed_url": "/layers/geonode:a__1108_Limite_Trifinio/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.264106Z", "raw_abstract": "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/", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Auncune information fournie", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-a2645b8a-8e9f-11e8-b4de-005056062634-thumb.png?v=ced7eee5" }, { "pk": "888", "uuid": "2629ac5c-b7cf-11e7-bdb3-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Exposure", "slug": "exposure" }, { "name": "Flood", "slug": "flood" }, { "name": "Risk", "slug": "risk" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Water-related disasters" }, "title": "Flood occurence in 2013", "abstract": "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.\r\n\r\nFor more information, see WRI original analysis here: wri.org/publication/aqueduct-country-river-basin-rankings.\r\nVisit the FAO Aquastat website: http://www.fao.org/nr/water/aquastat/data/query/index.html?lang=en", "attribution": null, "doi": null, "alternate": "geonode:floodoccurence_1", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -59.48427929999997 ], [ -180.0, 83.62741851800007 ], [ 180.0000000000001, 83.62741851800007 ], [ 180.0000000000001, -59.48427929999997 ], [ -180.0, -59.48427929999997 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-09-27T09:03:00Z", "date_type": "publication", "edition": "FAO AQUASTAT Main Database (2017). Retrieved from http://www.fao.org/nr/water/aquastat/maps/index.stm", "purpose": "", "maintenance_frequency": "asNeeded", "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": "2013-01-01T10:03:00Z", "temporal_extent_end": "2013-12-31T10:03:00Z", "supplemental_information": "This was a one-time exercise and will be updated by WRI when new data is made available.", "data_quality_statement": "", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "438", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/floodoccurence_1:geonode:floodoccurence_1", "embed_url": "/layers/geonode:floodoccurence_1/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.408775Z", "raw_abstract": "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", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "This was a one-time exercise and will be updated by WRI when new data is made available.", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-2629ac5c-b7cf-11e7-bdb3-005056062634-thumb.png?v=3a5f2d3e" }, { "pk": "1063", "uuid": "9ec64aaa-26db-11e8-a93b-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1022, "username": "gabin.archambault", "first_name": "Gabin", "last_name": "Archambault", "avatar": "https://www.gravatar.com/avatar/6b6c0feef3d040bc9f22ae6766ce83d8/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1022, "username": "gabin.archambault", "first_name": "Gabin", "last_name": "Archambault", "avatar": "https://www.gravatar.com/avatar/6b6c0feef3d040bc9f22ae6766ce83d8/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1022, "username": "gabin.archambault", "first_name": "Gabin", "last_name": "Archambault", "avatar": "https://www.gravatar.com/avatar/6b6c0feef3d040bc9f22ae6766ce83d8/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" }, { "name": "Stress", "slug": "Stress" } ], "regions": [ { "code": "GLO", "name": "Global" }, { "code": "AFR", "name": "Africa" } ], "category": { "identifier": "Groundwater" }, "title": "Depth to groundwater in Africa", "abstract": "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. \r\n\r\nDetailed 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\r\n\r\nThe 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", "attribution": null, "doi": null, "alternate": "geonode:depth_to_groundwater_africa1", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -17.45, -34.81399691 ], [ -17.45, 37.33600309 ], [ 51.3, 37.33600309 ], [ 51.3, -34.81399691 ], [ -17.45, -34.81399691 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-10-31T16:32:00Z", "date_type": "publication", "edition": "MacDonald, A M, Bonsor, H C, Ó Dochartaigh, B E, Taylor, R G. (2012). Quantitative maps of groundwater resources in Africa. Environmental Research Letters 7, 024009", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "UNESCO-IHP was given the authorization to display on IHP-WINS some materials produced by the British Geological Survey. Permit Number CP17/019 British Geological Survey © NERC 2017. All rights reserved.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": "2009-12-31T23:00:00Z", "temporal_extent_end": "2010-12-31T00:00:00Z", "supplemental_information": "This layer is part of a series of quantitative maps produced by the BGS. They are the first quantitative maps produced for Africa and are underpinned by dedicated case studies and systematic data/literature reviews. They are designed to show information at the continental, or regional scale (nominally at 1:20M).", "data_quality_statement": "", "group": { "pk": 70, "name": "IHP-Theme2-Groundwater" }, "popular_count": "73", "share_count": "0", "rating": "0", "featured": false, "is_published": false, "is_approved": true, "detail_url": "/layers/depth_to_groundwater_africa1:geonode:depth_to_groundwater_africa1", "embed_url": "/layers/geonode:depth_to_groundwater_africa1/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.487213Z", "raw_abstract": "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", "raw_purpose": "", "raw_constraints_other": "UNESCO-IHP was given the authorization to display on IHP-WINS some materials produced by the British Geological Survey. Permit Number CP17/019 British Geological Survey © NERC 2017. All rights reserved.", "raw_supplemental_information": "This layer is part of a series of quantitative maps produced by the BGS. They are the first quantitative maps produced for Africa and are underpinned by dedicated case studies and systematic data/literature reviews. They are designed to show information at the continental, or regional scale (nominally at 1:20M).", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-9ec64aaa-26db-11e8-a93b-005056062634-thumb.png?v=d863b8ae" }, { "pk": "1257", "uuid": "a82f1d88-8f5e-11e8-b4de-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1376, "username": "alberto.hernandez-salinas", "first_name": "Alberto", "last_name": "Hernandez-salinas", "avatar": "https://www.gravatar.com/avatar/481fee966b48de3f529c9645b2070dfa/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Groundwater", "slug": "groundwater" } ], "regions": [ { "code": "CAM", "name": "Central America" }, { "code": "SLV", "name": "El Salvador" }, { "code": "GTM", "name": "Guatemala" }, { "code": "HND", "name": "Honduras" } ], "category": { "identifier": "Groundwater" }, "title": "Suelos en la región del Trifinio", "abstract": "Descripción de unidades correlacionales de suelos en la región del Trifinio.\r\n\r\nInformación extraida de la publicación: \r\nCatálogo 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\r\n\r\nPara más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/", "attribution": null, "doi": null, "alternate": "geonode:a__4302_Suelos_TRI_ajustado", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -89.8637098189232, 14.1144936276348 ], [ -89.8637098189232, 15.0953579774792 ], [ -88.7145302725548, 15.0953579774792 ], [ -88.7145302725548, 14.1144936276348 ], [ -89.8637098189232, 14.1144936276348 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2019-03-17T17:28:00Z", "date_type": "publication", "edition": "Comisión Trinacional del Plan Trifinio (CTPT), Sistema de Información Territorial (SIT)", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "spa", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "Auncune information fournie", "data_quality_statement": "", "group": { "pk": 93, "name": "GGRETA-OcotepequeCitala" }, "popular_count": "115", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:a__4302_Suelos_TRI_ajustado", "embed_url": "/layers/geonode:a__4302_Suelos_TRI_ajustado/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.436748Z", "raw_abstract": "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/", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Auncune information fournie", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-a82f1d88-8f5e-11e8-b4de-005056062634-thumb.png?v=7aea25fc" }, { "pk": "905", "uuid": "2e7cc79e-b965-11e7-bdb3-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Gender", "slug": "gender" }, { "name": "Health", "slug": "Health" }, { "name": "Youth", "slug": "youth" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Cross-cutting" }, "title": "Disability-Adjusted Life Year attributable to unsafe sanitation in 2015 for 5 to 14 year-old males", "abstract": "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.\r\nOne 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. \r\n\r\nEstimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 \r\nFor more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd", "attribution": null, "doi": null, "alternate": "geonode:unsafesan_male_1", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -59.48427929999997 ], [ -180.0, 83.62741851800007 ], [ 180.0000000000001, 83.62741851800007 ], [ 180.0000000000001, -59.48427929999997 ], [ -180.0, -59.48427929999997 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-08-31T12:55:00Z", "date_type": "publication", "edition": "Global Burden of Disease Study 2015 (2015). Global Burden of Disease Study 2015 (GBD 2015) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2016. Retrieved from http://ghdx.healthdata.org/gbd-results-tool", "purpose": "", "maintenance_frequency": "asNeeded", "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": "2015-01-01T13:56:00Z", "temporal_extent_end": "2015-12-31T13:56:00Z", "supplemental_information": "Ideally, sanitation (i.e. human excreta management) should result in the\r\nisolation or destruction of pathogenic material and, hence, a break in the transmission pathway. Thus, sanitation plays a key role in disease transmission. Interventions on water and sanitation (eg decrease water contamination or contact with contaminated water) are effective in reducing the rates of waterborne diseases such as diarrhoea.", "data_quality_statement": "", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "205", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/unsafesan_male_1:geonode:unsafesan_male_1", "embed_url": "/layers/geonode:unsafesan_male_1/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.107683Z", "raw_abstract": "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", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "Ideally, sanitation (i.e. human excreta management) should result in the isolation or destruction of pathogenic material and, hence, a break in the transmission pathway. Thus, sanitation plays a key role in disease transmission. Interventions on water and sanitation (eg decrease water contamination or contact with contaminated water) are effective in reducing the rates of waterborne diseases such as diarrhoea.", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-2e7cc79e-b965-11e7-bdb3-005056062634-thumb.png?v=8ac17484" }, { "pk": "1125", "uuid": "3f3df0de-46f1-11e8-a93b-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "poc": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "metadata_author": { "pk": 1275, "username": "adrian.barranco-fabre", "first_name": "Adrian", "last_name": "Barranco-Fabre", "avatar": "/static/avatars/adrian.barranco-fabre/resized/240/20180224_163631.d97d0775e6c3.jpg" }, "keywords": [ { "name": "Basin", "slug": "basin" }, { "name": "Biodiversity", "slug": "biodiversity" }, { "name": "Disrupting compounds", "slug": "Disruptingcompounds" }, { "name": "Human settlements", "slug": "Humansettlements" }, { "name": "Pollution", "slug": "pollution" }, { "name": "Surface water", "slug": "Surfacewater" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Water for human settlements" }, "title": "Forest Protection Practices concerning Phosphorous", "abstract": "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”.\r\nFor more information, access the Urban Water Blueprint report here: http://www.iwa-network.org/wp-content/uploads/2016/06/Urban-Water-Blueprint-Report.pdf\r\nYou can also visit the Urban Water Blueprint website here: http://water.nature.org/waterblueprint/#/intro=true", "attribution": null, "doi": null, "alternate": "geonode:ForestProtection_P_category_NC", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -149.8921253, -43.52765168 ], [ -149.8921253, 61.21766954 ], [ 174.7646444, 61.21766954 ], [ 174.7646444, -43.52765168 ], [ -149.8921253, -43.52765168 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2019-11-15T16:55:00Z", "date_type": "publication", "edition": "McDonald, R.I. & D. Shemie (2014). Urban Water Blueprint: Mapping conservation solutions to the global water challenge. The Nature Conservancy: Washington, D.C.", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": { "identifier": "vector" }, "temporal_extent_start": "2015-01-01T13:25:00Z", "temporal_extent_end": "2015-12-31T13:25:00Z", "supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. \r\nThe Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology", "data_quality_statement": "Updated results are not reflected in the report or website. Anyone considering using the results for analysis or decision-making should contact the Urban Water Blueprint at water@tnc.org to obtain the most current estimates.", "group": { "pk": 72, "name": "IHP-Theme4-Water-for-settlements" }, "popular_count": "58", "share_count": "0", "rating": "0", "featured": true, "is_published": true, "is_approved": true, "detail_url": "/layers/datastore:geonode:ForestProtection_P_category_NC", "embed_url": "/layers/geonode:ForestProtection_P_category_NC/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.337850Z", "raw_abstract": "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: 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", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "The Urban Water Blueprint analyzes the state of water in more than 2000 watersheds and 530 cities worldwide to provide science-based recommendations for natural solutions that can be integrated alongside traditional infrastructure to improve water quality. The Urban Water Blueprint has continued to improve its scientific analysis over time, correcting reported errors and improving its methodology", "raw_data_quality_statement": "Updated results are not reflected in the report or website. Anyone considering using the results for analysis or decision-making should contact the Urban Water Blueprint at water@tnc.org to obtain the most current estimates.", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-3f3df0de-46f1-11e8-a93b-005056062634-thumb.png?v=ae099205" }, { "pk": "157", "uuid": "10670efa-df03-11e6-8719-005056bf7531", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "poc": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "metadata_author": { "pk": 7, "username": "Chloe.Meyer", "first_name": "Chloé", "last_name": "Meyer", "avatar": "/static/avatars/Chloe.Meyer/resized/240/me.21dd52a4aac3.jpg" }, "keywords": [ { "name": "Biodiversity", "slug": "biodiversity" }, { "name": "Culture", "slug": "culture" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Cross-cutting" }, "title": "UNESCO World Heritage Sites", "abstract": "<p>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/</p>", "attribution": null, "doi": null, "alternate": "geonode:worldheritagesites", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -179.7152778, -54.59472222 ], [ -179.7152778, 71.18888889 ], [ 178.8345333, 71.18888889 ], [ 178.8345333, -54.59472222 ], [ -179.7152778, -54.59472222 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2017-01-19T23:00:00Z", "date_type": "publication", "edition": "UNESCO-World Heritage Convention (2016). \"World Heritage List\" [online: page visited on 01/03/2017].", "purpose": "", "maintenance_frequency": "asNeeded", "restriction_code_type": null, "constraints_other": "<p>Unless otherwise specified, the Creative Commons License applies.</p>", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": "2017-01-19T23:00:00Z", "supplemental_information": "<p>According to the sites ranked by country, Italy is home to the greatest number of World Heritage Sites with 51 sites, followed by China (50), Spain (45), France (42), Germany (41), India (35), Mexico (34).</p>", "data_quality_statement": "<p>/</p>", "group": { "pk": 74, "name": "IHP-Theme6-Water-education" }, "popular_count": "1032", "share_count": "0", "rating": "0", "featured": true, "is_published": true, "is_approved": true, "detail_url": "/layers/worldheritagesites:geonode:worldheritagesites", "embed_url": "/layers/geonode:worldheritagesites/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-03-01T16:04:08.104616Z", "raw_abstract": "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/", "raw_purpose": "", "raw_constraints_other": "Unless otherwise specified, the Creative Commons License applies.", "raw_supplemental_information": "According to the sites ranked by country, Italy is home to the greatest number of World Heritage Sites with 51 sites, followed by China (50), Spain (45), France (42), Germany (41), India (35), Mexico (34).", "raw_data_quality_statement": "/", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-10670efa-df03-11e6-8719-005056bf7531-thumb.png?v=e8656729" }, { "pk": "1206", "uuid": "bb7b646c-791c-11e8-b4dd-005056062634", "resource_type": "layer", "polymorphic_ctype_id": "51", "owner": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "poc": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "metadata_author": { "pk": 1065, "username": "najet.guefradj", "first_name": "Najet", "last_name": "Guefradj", "avatar": "https://www.gravatar.com/avatar/e5b6ec7203dd9989e1d70a772bb82695/?s=240&d=http%3A%2F%2Fihp-wins.unesco.org%2Fstatic%2Favatar%2Fimg%2Fdefault.jpg" }, "keywords": [ { "name": "Agriculture", "slug": "agriculture" }, { "name": "Supply", "slug": "Supply" }, { "name": "Use/Reuse", "slug": "Usereuse" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Ecohydrology" }, "title": "Mean annual green water footprint of national consumption per capita (1996-2005)", "abstract": "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. \r\nEstimation 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.\r\n\r\nMethodology 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", "attribution": null, "doi": null, "alternate": "geonode:greencons", "bbox_polygon": { "type": "Polygon", "coordinates": [ [ [ -180.0, -56.5247 ], [ -180.0, 83.1445706000001 ], [ 180.0, 83.1445706000001 ], [ 180.0, -56.5247 ], [ -180.0, -56.5247 ] ] ] }, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2018-06-26T14:57:00Z", "date_type": "publication", "edition": "Mekonnen, M.M. and Hoekstra, A.Y. (2011) National water footprint accounts: The green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No. 50, UNESCO-IHE, Delft, the Netherlands", "purpose": "", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "IHP-WINS was graciously granted permission to display these data on its website by the authors of the Main Report and IHE Delt Institute for Water Education.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": "1996-01-01T09:41:00Z", "temporal_extent_end": "2005-12-31T09:41:00Z", "supplemental_information": "This study quantifies and maps the water footprints of nations from both a production and consumption perspective and estimates international virtual water flows and national and global water savings as a result of trade. It illustrates the global dimension of water consumption and pollution by showing that several countries heavily rely on water resources elsewhere and that many countries have significant impacts on water consumption and pollution elsewhere.", "data_quality_statement": "Values for Sudan before 2011 apply to both Sudan and South Sudan.", "group": { "pk": 73, "name": "IHP-Theme5-Ecohydrology" }, "popular_count": "502", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/layers/geonode_ihp_data:geonode:greencons", "embed_url": "/layers/geonode:greencons/embed", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:13.035463Z", "raw_abstract": "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", "raw_purpose": "", "raw_constraints_other": "IHP-WINS was graciously granted permission to display these data on its website by the authors of the Main Report and IHE Delt Institute for Water Education.", "raw_supplemental_information": "This study quantifies and maps the water footprints of nations from both a production and consumption perspective and estimates international virtual water flows and national and global water savings as a result of trade. It illustrates the global dimension of water consumption and pollution by showing that several countries heavily rely on water resources elsewhere and that many countries have significant impacts on water consumption and pollution elsewhere.", "raw_data_quality_statement": "Values for Sudan before 2011 apply to both Sudan and South Sudan.", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/layer-bb7b646c-791c-11e8-b4dd-005056062634-thumb.png?v=5acfc583" }, { "pk": "1086", "uuid": "ffe69c60-4079-11e8-a93b-005056062634", "resource_type": "document", "polymorphic_ctype_id": "59", "owner": { "pk": 4, "username": "Youssef.Filali-Meknassi", "first_name": "Youssef", "last_name": "Filali-Meknassi", "avatar": "/static/avatars/Youssef.Filali-Meknassi/resized/240/Youssef_Filali-Meknassi.69cb9412f127.png" }, "poc": { "pk": 4, "username": "Youssef.Filali-Meknassi", "first_name": "Youssef", "last_name": "Filali-Meknassi", "avatar": "/static/avatars/Youssef.Filali-Meknassi/resized/240/Youssef_Filali-Meknassi.69cb9412f127.png" }, "metadata_author": { "pk": 4, "username": "Youssef.Filali-Meknassi", "first_name": "Youssef", "last_name": "Filali-Meknassi", "avatar": "/static/avatars/Youssef.Filali-Meknassi/resized/240/Youssef_Filali-Meknassi.69cb9412f127.png" }, "keywords": [ { "name": "Quality", "slug": "Quality" }, { "name": "Waste", "slug": "Waste" } ], "regions": [ { "code": "GLO", "name": "Global" } ], "category": { "identifier": "Water quality" }, "title": "Experimental Methods in Wastewater Treatment", "abstract": "Wastewater treatment is a core technology for water resources protection and reuse, as is clearly demonstrated by the great success of its consequent implementation in\r\nmany countries worldwide. During the last decennia scientific research has made vast progress in understanding the complex and interdisciplinary aspects of the biological, biochemical, chemical and mechanical processes involved. It can be concluded that the global application of existing knowledge and experience in wastewater treatment technology will represent a cornerstone in future water management, as expressed in the Strategic Development Goals accepted by the UN in September 2015.", "attribution": null, "doi": "10.29104/WINS.D.0219.2018", "alternate": null, "bbox_polygon": null, "ll_bbox_polygon": null, "srid": "EPSG:4326", "date": "2018-04-15T06:55:00Z", "date_type": "publication", "edition": "Mark C. M. van Loosdrecht, Per H. Nielsen, Carlos M. Lopez-Vazquez, Damir Brdjanovic (2017). Experimental Methods in Wastewater Treatment. ISBN 9781780404752. Zagreb : WA-Publishing", "purpose": "While conventional wastewater treatment plant operation was driven by effluent quality and cost minimization, this book fully incorporates the paradigm shift towards material and energy recovery from wastewater. In this respect the book is also very relevant for developed countries, as the new paradigm will heavily influence the future development of wastewater management worldwide.", "maintenance_frequency": null, "restriction_code_type": null, "constraints_other": "Unless otherwise specified, no restriction applies.", "license": { "identifier": "not_specified" }, "language": "eng", "spatial_representation_type": null, "temporal_extent_start": null, "temporal_extent_end": null, "supplemental_information": "No information provided", "data_quality_statement": "", "group": { "pk": 12, "name": "IHPC2C" }, "popular_count": "174", "share_count": "0", "rating": "0", "featured": false, "is_published": true, "is_approved": true, "detail_url": "/documents/1086", "embed_url": "", "created": "2020-02-11T11:06:45.204622Z", "last_updated": "2021-02-19T14:30:12.609369Z", "raw_abstract": "Wastewater treatment is a core technology for water resources protection and reuse, as is clearly demonstrated by the great success of its consequent implementation in many countries worldwide. During the last decennia scientific research has made vast progress in understanding the complex and interdisciplinary aspects of the biological, biochemical, chemical and mechanical processes involved. It can be concluded that the global application of existing knowledge and experience in wastewater treatment technology will represent a cornerstone in future water management, as expressed in the Strategic Development Goals accepted by the UN in September 2015.", "raw_purpose": "While conventional wastewater treatment plant operation was driven by effluent quality and cost minimization, this book fully incorporates the paradigm shift towards material and energy recovery from wastewater. In this respect the book is also very relevant for developed countries, as the new paradigm will heavily influence the future development of wastewater management worldwide.", "raw_constraints_other": "Unless otherwise specified, no restriction applies.", "raw_supplemental_information": "No information provided", "raw_data_quality_statement": "", "metadata_only": false, "thumbnail_url": "http://ihp-wins.unesco.org/uploaded/thumbs/document-ffe69c60-4079-11e8-a93b-005056062634-thumb.png" } ] }