Climate Change Impact on Water Resources: Predictive Modelling with Deep Reinforcement Learning

Abstract-Climate change has significantly altered global hydrological patterns, leading to extreme fluctuations in water availability. This study explores the application of Deep Reinforcement Learning (DRL) to develop a predictive model for analysing climate change’s impact on water resources. By leveraging meteorological and hydrological datasets, the proposed model aims to forecast variations in water availability, quality, and demand. The study integrates climate variables such as temperature, precipitation, and humidity to enhance the decision-making capabilities of policymakers and environmental planners. The findings of this research provide a robust framework for sustainable water resource management.