Applications of AI for water management

This publication reviews the current state-of-the-art of AI and Machine Learning (ML) applications within water management, introducing some of the main concepts and providing the reader with a general understanding of different technologies and concepts. Further, it features examples of the most influential applications of AI within water management and highlights the ethical challenges when streamlining AI for water resources management.

Data and Resources

Cite this as

Koen Verbist (2025). Applications of AI for water management [Data set]. UNESCO . https://doi.org/10.63253/abmwhekm
Retrieved: 22:19 12 Apr 2025 (UTC)

Metadata
Download
INSPIRE
DCAT-AP

Basic information
DOI https://doi.org/10.63253/abmwhekm
Resource type Spatial data set
Date of creation 2025-04-11
Date of last revision 2025-04-11
Show changelog
Metadata identifier Applications-of-AI-for-water-management
Metadata language English
Themes (DCAT-AP)
High-value dataset category
ISO 19115 topic category environment
Other identifier https://doi.org/10.54677/VGVL7976
Keyword URIs
Spatial information
INSPIRE identifier
INSPIRE Themes
Geographic identifier
Coordinate Reference System
Spatial representation Type Vector
Bounding Box
Spatial resolution of the dataset (m)
Provenance
Lineage statement
Metadata Standard
Conformity
Source dataset
Update frequency
Sources
Purpose
Process steps
Temporal extent (Start)
Temporal extent (End)
Version notes
Version
Dataset validity
Responsible Party
Name of the dataset creator Koen Verbist
Name of the dataset maintainer Koen Verbist
Identifier of the dataset creator
Email of the dataset creator k.verbist@unesco.org
Identifier of the dataset maintainer
Email of the dataset maintainer k.verbist@unesco.org
Website of the dataset maintainer