This book provides a comprehensive overview of surface water and groundwater quality, including its analytical methods, and remote sensing and soft computing techniques. Furthermore, the book addresses the pressing challenges surrounding sustainable use of surface water and groundwater around the globe. The importance of their quality management cannot be overstated in the face of ecological balance and climate change issues. The water quality of surface water and groundwater is affected by numerous factors, and their significance to every sector of society cannot be overlooked. This is particularly true in emerging countries such as India where population growth has led to an unparalleled demand for water and millions of people rely on contaminated water for drinking and irrigation purposes.

The book chapters cover a broad range of topics such as importance of water quality assessment for drinking and irrigation, methods and techniques, contamination sources and remedial techniques, impacts of water quality on crop, soil and productivity, climate change impacts on water quality, sustainable development policy and soft computing techniques for water quality assessment. The multidisciplinary approach and cutting-edge techniques make the book an essential resource for anyone involved in sustainable development, planning and management.

Explores advanced methods and technology for water resources Investigates surface water and groundwater quality for sustainable utilization Suggests policies for water resources planning under climate change

Autorentext

Dr. Dimple completed her Ph.D. in soil and water conservation engineering from Maharana Pratap University of Agriculture and Technology (MPUAT), India in 2022. Currently she is working as an Assistant Professor (Agricultural Engineering), College of Agriculture, Kishangarhbas a constituent college of Sri Karan Narendra Agriculture University, Jobner, Jaipur, Rajasthan, India.. She had received many prestigious fellowships. She is a reviewer for many scientific journals of international repute, and she is an editorial board member in the Discover Water Journal.She has published 15 research articles in national and international journals and 21 other publications. Her research interests include micro irrigation systems, groundwater quality, and land and water resources management using geo-spatial tools and soft computing techniques.

Dr. Chaitanya Baliram Pande completed his Ph.D. in environment science at Sant Gadge Baba Amravati University, India, and an M.Sc. in geoinformatics at Amravati University in 2011. He has more than 13 years of teaching, research and industry experience. He is included in the 2% Stanford scientist list, 2024. He is a reviewer for several scientific journals of international repute, and he is an editorial board member in the American Journal of Agricultural and Biological Sciences. He has published 120+ research papers, 2 textbooks, 10 edited books, 19 conference papers and 25+ book chapters. Altogether, they have received more than 5288 citations as per google scholar. His research interests include remote sensing, GIS, air pollution, Google Earth Engine, machine learning, watershed management, hydrogeology, hydrological modelling, drought monitoring, land use and land cover analysis, groundwater quality, urban planning, hydro-geochemistry, groundwater modelling, geology, hyperspectral remote sensing, and GIS applications in natural resources and watershed management, and environmental monitoring and assessment.

Dr. Jitendra Rajput is currently working as Scientist at Division of Agricultural Engineering, Indian Council of Agricultural Research-Indian Agricultural Research Institute (ICAR-IARI), New Delhi, India. He has received B. Tech (Agricultural Engineering) degree from Central Agricultural University, Imphal, Manipur in 2012, M. Tech (Irrigation Water Management Engineering) from Maharana Pratap University of Agriculture and Technology (MPUAT), Udaipur, Rajasthan in 2014 and Doctor of Philosophy (Ph.D.) degree in Water Science and Technology specialization from ICAR- IARI, New Delhi, India in 2023. He is recipient of prestigious ICAR Fellowships viz., NTS, JRF, and SRF during UG, PG, and Ph.D. degree programs, respectively. He is recipient of Prof. B. V. Ramana Rao Best Paper Award 2024 by the Association of Agrometeorologists. His research interest includes design of micro irrigation system, canal irrigation system, climate change, groundwater carbon footprint, and land and water resources management using Geo-spatial tools and soft computing/AI techniques. Dr. Rajput has published 56 national and international research articles.

Inhalt

Effective Approaches Towards Drinking Water Purification.- Contamination of surface water and groundwater quality.- Physical, chemical, and biological parameters of surface water and groundwater quality.- Soft Computing Methods for Surface Water and Groundwater Quality Analysis.- Chemical Analysis Method for Surface and Ground Water Quality Assessment.- Physical Analysis Methods for Surface Water and Ground Water Quality Quantification.- Remote Sensing and Google Earth Engine for Surface and Groundwater Quality Assessment.- Integrating Remote Sensing and GIS for Surface and Groundwater Quality Assessment.- Influence of Poor Water Quality on Crop Productivity and Quality of produce.- Effects of Poor Irrigation Water Quality on Soil Fertility and its Mitigation.- Crop selection criteria for different quality of irrigation water and mitigation techniques.- Crop Selection and Management Strategies for Poor Quality Irrigation Water.- Unseen Threats: The Impact of Emerging Contaminants on Surface Water and Groundwater Quality.- Unseen Threats: The Impact of Emerging Contaminants on Surface and Groundwater Quality.- Advances in Surface Water and Groundwater Quality Monitoring and Analysis Techniques.- Climate Change's Impacts on Surface Water and Groundwater Quality.- Surface Water and Groundwater Quality Development Policy Under Climate Changes.- Predictive Modeling of Surface and Groundwater Quality with Machine Learning Techniques.- Surface water and groundwater quality forecasting using machine learning models.- Water Budgeting and groundwater utilization assessment in Western Uttar Pradesh (India).