Title: Editorial: Assessment of Climate Change Impact on Water Resources Using Machine Learning Algorithms
Journal: Journal of Water and Climate Change
Year: 2024
Volume number:
Issue:
Article number: jwc2024002
DOI: 10.2166/wcc.2024.002
Abstract: Machine learning (ML) algorithms bring about a game changer tool in developing estimation models in various fields of research, including water resources and climate change. These techniques can be used for solving various problems when assessing climate change impacts on water resources. For instance, they can be utilized to downscale outputs of Global Climate Models (GCMs) to investigate climate change effects on hydroclimatic variables. Furthermore, ML can be employed to study variations of water quantity and quality under a changing climate. Moreover, they can be exploited to explore climate change impacts on rivers, groundwater, and water supply systems. Because of the importance of the topic, this special issue intends to provide an opportunity to collect recent investigations focusing on evaluating climate change impacts on water resources.