Projection of Groundwater Levels, Spring Flows, Lake Dynamics, Extreme Drought Events, and Floods under Future Climates Using Artificial Intelligence Models

Dear Colleagues,

Hydrological sciences and engineering applications have successfully incorporated a wide array of data-driven modeling and analysis approaches, which expand our technical capacity so that we may better understand critical water-related challenges facing hydroclimatological systems around the world.

For the upcoming Special Issue of Water, we invite original technical and review papers on the artificial intelligence-based prediction of local-, regional-, and global-scale hydrologic and hydroclimatic features and processes (e.g., groundwater levels, spring flows, soil moisture, lake and streamflow dynamics, and water quality) and the projection of extreme hydrological events (e.g., droughts or floods) under a changing climate over the next several decades (2021–2100).

We are also interested in innovative research studies employing the statistical downscaling of projected climate variables from global circulation models to a local or regional scale and the use of these projected downscaled climate data with artificial intelligence models for projections of hydroclimatic events. We expect that the findings will establish grounds to investigate and recommend potential mitigation and adaptation measures for future climate change-resilient water management strategies.

The subject areas include, but are not limited to, the impacts of changes in the climate, enviromental factors, and human activities on:

• Groundwater levels, spring flows, and water quality measures crucial for sustainable consumptive water uses and environmental flows;
• Lake and stream flow dynamics;
• Evapotranspiration, soil moisture, and crop yields;
• The intensity, frequency, and duration of drought and flood events.

Dr. Hakan Başağaoğlu
Dr. Debaditya Chakraborty
Dr. Marcio Giacomoni
Guest Editors

Manuscript Submission Information

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