Review on the Use of Artificial Neural Networks to Determine the Relationship Between Climate Change and the Occupancy Rates of Dams

Abstract

Climate change has the potential to raise temperatures, alter precipitation patterns, and alter how water resources are distributed globally. The occupancy rates of drinking water supplies may change as a result of these changes. For instance, dwindling water supplies may result from rising temperatures and diminishing precipitation. As a result, the occupancy rates of the reservoirs may drop, making it harder to deliver drinking water. Climate change, however, might highlight regional variations and result in wetter conditions in some places. The occupancy rates in the reservoirs could rise in this scenario. Heavy rains, however, can also result in additional issues like infrastructure damage and floods. Climate change-friendly actions must be taken to manage water supplies in a sustainable manner. In the management of water resources, dams are crucial. It has been observed that when a reliable estimate of a dam's flow is provided, data-based models can produce valuable findings for a variety of hydrological applications. The relationship between climate change and water supplies is better understood thanks to this study.