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Applications of AI for water management [electronic resource] / Antonio Moreno-Rodenas [and twenty-four others].

Contributor(s): Moreno-Rodenas, Antonio | Verbist, Koen | Mertens, Annelies | Gerritsma, Isabel | Deng, Jing | Haag, Arjen | Taner, Ümit | Nuttall, Jonathan David | Dahm, Ruben | Meshgi, Ali | Korving, Hans | Bianchini, Silvia | Tofani, Veronica | Casagli, Nicola | Ray, Patrick | Rahat, Saiful Haque | Guan, Jianzhao | Chen, Yin | Zhang, Lei | Shi, Hongling | Kaltenborn, Julia | Bente, Kim | McDonald, Andrew | Derksen, Chris | Amarnath, Giriraj | United Nations Educational, Scientific and Cultural Organization (UNESCO) | DeltaresMaterial type: TextTextPublication details: Paris : United Nations Educational, Scientific and Cultural Organization (UNESCO), 2025. Description: 1 online resource (118 pages : colored, illus.)ISBN: 978-92-3-100753-8Subject(s): Artificial intelligence (AI) | Machine learning | Water resources management | Climate change adaptation | Water risk management | Artificial Intelligence (AI) tool -- Sustainable water resources management | Science eBook | Engineering eBook | United Nations Educational, Scientific and Cultural Organization (UNESCO) | eBook (Open access)DDC classification: eBook/Eng'g. 628.1 Un58 2025 Online resources: Click here to access online Summary: Artificial Intelligence as a tool for leveraging sustainable water resources management. The emergence of increasingly capable Artificial Intelligence (AI) technologies is changing the technical landscape in many scientific and technical disciplines, and hydrology is no exception. The numerous applications include surface water supply, groundwater modelling, hydropower generation, agriculture and irrigation, climate change risk and flood risk management, water-energy-food nexus, water governance, among others.
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eBook (Open Access) eBook (Open Access) LRC - Digital Library
eBook/Eng'g. 628.1 Un58 2025 (Browse shelf(Opens below)) Link to resource Available

Includes bibliographical references.

Artificial Intelligence as a tool for leveraging sustainable water resources management. The emergence of increasingly capable Artificial Intelligence (AI) technologies is changing the technical landscape in many scientific and technical disciplines, and hydrology is no exception. The numerous applications include surface water supply, groundwater modelling, hydropower generation, agriculture and irrigation, climate change risk and flood risk management, water-energy-food nexus, water governance, among others.

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