1st Edition
Water Suitability Analysis Advanced Research Approaches for Sustainable and Resilient Resource Management
Chapter 1: Introduction to Water Suitability
Harish Sharma, Jeevanjot Singh, Er Simran, Gurminder Singh, Sandeep Kumar Chandel, and Lokeshwar Sharma
Chapter 2: Experimental Methods in Water Quality Assessment
Ravi Kumar Sandal, Sahil Sharma, Aravind Chauhan, and Lokeshwar Sharma
Chapter 3: Analysis of Water Quality Index for Indian Rivers using AI Techniques
Neha Sharma and Abhineet Anand
Chapter 4: GIS and Remote Sensing Applications
Mayank Attri and Lokeshwar Sharma
Chapter 5: Machine Learning and AI in Water Assessment
Kavita Dhiman, Kapil Sethi, Sourav Pindal, Sandeep Singh, and Manpreet Kaur
Chapter 6: Case Study I - Ground Suitability in an Arid Region
Mamta
Chapter 7: Case Study II – Surface Water Suitability in Hilly Regions
Vibha Sharma, Kapil Sethi, Abhineet Chauhan, Aravind Chauhan, and Ravi Kumar Sandal
Chapter 8: Groundwater Modeling and Spatial Assessment of the East Kolkata Wetlands Using Processing MODFLOW and Remote Sensing
Kirti Singh, Lopamudra Ganguly, and Subhadip Mondal
Chapter 9: SDG 6: Program, Community, Planning Framework
Amit Vajpayee and Mannat Thakur
Chapter 10: Water Security Management: Future Research Directions and Emerging Tools
Neha Sharma, Abhineet Anand, and Lokeshwar Sharma
Biography
Lokeshwar Sharma is an academic and researcher specializing in environmental and water resources engineering. His research interests include water quality analysis, groundwater modeling, and sustainable resource management. He has been actively involved in projects related to AI-based water suitability assessment and environmental monitoring. As an editor, he contributes his expertise in hydrological modelling and interdisciplinary environmental systems to ensure the book reflects modern approaches to water research and sustainability.
Sandeep Singh is a distinguished researcher in civil and environmental engineering, focusing on sustainable water management and GIS-based hydrological analysis. His expertise lies in remote sensing applications, water resources planning, and policy development for environmental sustainability. He has published numerous papers in Scopus-indexed journals and guided several research projects integrating machine learning in water quality assessment. His editorial contribution ensures a scientific and policy-oriented approach to the study of water suitability.
Abhineet Anand is an Assistant Professor and researcher with expertise in groundwater hydrology, water suitability analysis, and computational modelling. His academic and professional work focuses on developing data-driven and AI-based solutions for assessing groundwater potential and quality. He has contributed extensively to research on MODFLOW modelling and the application of machine learning in hydrogeological studies. His involvement in this book strengthens its technical and analytical depth in AI-driven water suitability assessment.
Abhishek Kumar is a researcher and educator specializing in environmental engineering and water resource management. His research focuses on integrating artificial intelligence, GIS, and remote sensing for water quality monitoring and prediction. With several peer-reviewed publications, Dr. Kumar has made notable contributions to the field of sustainable water management and SDG 6 implementation strategies. As an editor, he brings valuable experience in data analytics and interdisciplinary research for advancing AI-driven water assessment methodologies.
