Water Scarcity, Contamination, and Management presents new and updated material, including case studies, step-by-step guidance on key procedures and protocols, and timely topics such as climate change and integrated water resource management. This book is divided into three key sections. Section 1-Water Resource Scarcity-focuses on sustainable development and management of water resources and techniques and methods for improving water use efficiency. Section 2-Contamination of Water Resources-focuses on understanding the quality of water resources, migration of pollutant sources, geochemical processes, groundwater depletion, and seasonal variations in contaminant concentration, water resources' quality status, and associated human health risks. Section 3-Water Resource Management-considers a consolidated and coordinated approach to find the solution to water resource issues. Presenting a comprehensive overview of the water management field, the book serves as a valuable reference for students, professors, scholars, researchers, and consultants in the fields of water resources, civil engineering, environmental science and engineering, and hydrology.

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.