Harnessing machine learning for assessing climate change influences on groundwater resources: A comprehensive review.

ABSTRACT: Climate change is a major concern for a range of environmental issues including water resources especially groundwater. Recent studies have reported significant impact of various climatic factors such as change in temperature, precipitation, evapotranspiration, etc. on different groundwater variables. For this, a range of tools and techniques are widely used in the literature including advanced machine learning (ML) and artificial intelligence (AI) approaches. To the best of the authors' knowledge, this review is one of the novel studies that offers an in-depth exploration of ML/AI models for evaluating climate change impact on groundwater variables. The study primarily focuses on the efficacy of various ML/AI models in forecasting critical groundwater parameters such as levels, discharge,

SUBMITTER: Bamal A 

PROVIDER: S-EPMC11402946 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature