Work

Hybrid intelligence–integrated water resources management: Addressing global challenges for climate-resilient strategies

Year: 2026

Type: book-chapter

Source: Elsevier eBooks

DOI: 10.1016/b978-0-443-44853-9.00014-9

Authors: Min Liu, Chenran Shao, Bakim Chandra, Jean-Luc Betrand-Krajewski, Gulomjon Umirzakov, Khan Shahzada, Gete Zeleke, Yazidhi Bamutaze, Anh Tien Do, Mahboob Alam

Institutions: Nanjing University of Information Science and Technology, National Institute of Technology Manipur, Institut National des Sciences Appliquées de Lyon, Hydrometeorological Research Institute, University of Engineering and Technology Peshawar, Water and Land Resource Centre, Makerere University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Clean water and sanitation, Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7203442997

FWCI:

Cites: 52

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Related to: 10