This book addresses the various challenges in achieving sustainable groundwater development, management, and planning in semi-arid regions, with a focus on India, and discusses advanced remote sensing and GIS techniques for the estimation and management of groundwater resources. The book is timely as there is a need for a better understanding of the various tools and methods required to efficiently and sustainably meet the growing demand for clean surface and groundwater in developing countries, and how these tools can be combined with other strategies in a multi-disciplinary fashion to achieve this goal in water-scarce regions. To wit, the book combines remote sensing and GIS techniques, runoff modeling, aquifer mapping, land use and land cover analyses, evapotranspiration estimation, crop coefficients, and water policy approaches. This will be of use to academics, policymakers, social scientists, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.

This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other countries, providing a stable output presentation by using machine learning data mining methods, and modeling. It is a combination of machine learning, modeling, google earth engine, climate data modeling, remote sensing and GIS techniques, surface water modeling, AHP modeling, groundwater quality analysis, aquifer mapping, land use and land cover analysis, forecasting of water and rainfall and so on, its use to sustainable development, planning, and management of groundwater purposes in India and other countries. The main purpose of this book will develop better outlines for the development of surface and groundwater and management in the semi-arid region climate, which supports the Sustainable Development Goals (SDGs) in India, especially on sustainable surface water and groundwater resources management. This book provides a multidisciplinary overview for the faculty members, administrators scientists, policymakers, social science, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.

This volume discusses climate change impacts on groundwater quality in arid and semi-arid regions, and provides human health risk assessments due to pollution of surface and groundwater. The book presents recent trends in monitoring groundwater management and implementing pollution mitigation strategies, including practices involving remote sensing and GIS techniques, entropy water quality index, weighted arithmetic water quality index, fuzzy logic applications, and improved irrigation methods. The book also outlines hydrological processes in arid and semi-arid regions and hydrochemical properties of surface and groundwater as a necessary background for understanding how pollution impacts groundwater quality and resources, and how geographical modeling of hydrological processes can aid in human health risk assessments. The book is intended for academics, administrators, policymakers, social scientists, and professionals involved in the various aspects of climate change impact on groundwater quality, hydrological process, pollution mitigation strategies, sustainable development, and environmental planning and management.