Frontiers in Water | Water and Artificial Intelligence

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Editors

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chaopeng shen

The Pennsylvania State University (PSU)

University Park, United States

Specialty Chief Editor

Water and Artificial Intelligence
ibrahim demir

The University of Iowa

Iowa City, United States

Associate Editor

Water and Artificial Intelligence
guangtao fu

University of Exeter

Exeter, United Kingdom

Associate Editor

Water and Artificial Intelligence
rudy gargano

Department of Civil and Mechanical Engineering, University of Cassino

Cassino, Italy

Associate Editor

Water and Artificial Intelligence

Water and Artificial Intelligence

Submit your research

Author guidelines

Editor guidelines

Peer review

Publishing fees

Editors

chaopeng shen

ibrahim demir

guangtao fu

rudy gargano

Articles

Downscaling GRACE Total Water Storage Data Using Random Forest: A Three-Round Validation Approach under Drought Conditions

Developing an explainable deep learning module based on the LSTM framework for flood prediction

Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region

Convolutional long short-term memory neural network for groundwater change prediction

Research Topics

Integrating Values and Ethics when utilizing Artificial Intelligence and Machine Learning to support Water Management decisions

Hydrological Simulation and Uncertainty Analysis Methods Based on Data Assimilation and Deep Learning

Artificial Intelligence Applications to Water Quality Modeling

Harnessing Artificial Intelligence to Address Climate-Induced Challenges in Water Resources Management