Advanced Research in Water Resource and Watershed Management

This book provides a comprehensive overview of the applications of computational technology to numerous divisions of water resource engineering. The volume includes various methods and case studies, and it introduces recent technologies such as remote sensing, geographic information systems (GIS), machine learning, artificial intelligence (AI), and rainfall-runoff modelling as a valuable tool for criteria-based spatial analysis to monitor and manage water resources and precisely simulate natural phenomena including the hydrologic response of a watershed to precipitation and susceptibility to water erosion. Furthermore, the volume explores advanced applications of river morphometric dynamics, flood risk assessment, and field-oriented aspects of the river environment and water resource management. The book is a valuable resource for postgraduate students, researchers, and experts and practitioners in the fields of hydrology, field hydrogeology (water resource exploration), dam studies, and groundwater potential investigation, civil engineering, environmental engineering, and hydrology.