This edited volume presents a comprehensive exploration of modern techniques and methodologies for evaluating water quality and suitability. It bridges traditional experimental approaches with cutting-edge artificial intelligence and remote sensing tools, offering an innovative perspective on sustainable water resource management.It delves into multidisciplinary insights that combine environmental science, data analytics, and hydrological modeling. Key topics include experimental water quality analysis, GIS-based assessment, groundwater and surface water case studies, and AI applications in hydroinformatics. Readers will benefit from practical frameworks, real-world case studies, and research-driven solutions designed to address complex challenges in water suitability evaluation.This is an essential resource for researchers, academicians, environmental engineers, policymakers, and postgraduate students working in water resource management, environmental sustainability, and artificial intelligence applications. It serves as both a reference guide and an inspiration for professionals seeking to implement intelligent, data-driven, and sustainable approaches to water assessment and planning.

This edited volume presents a comprehensive exploration of modern techniques and methodologies for evaluating water quality and suitability. It bridges traditional experimental approaches with cutting-edge artificial intelligence and remote sensing tools, offering an innovative perspective on sustainable water resource management.It delves into multidisciplinary insights that combine environmental science, data analytics, and hydrological modeling. Key topics include experimental water quality analysis, GIS-based assessment, groundwater and surface water case studies, and AI applications in hydroinformatics. Readers will benefit from practical frameworks, real-world case studies, and research-driven solutions designed to address complex challenges in water suitability evaluation.This is an essential resource for researchers, academicians, environmental engineers, policymakers, and postgraduate students working in water resource management, environmental sustainability, and artificial intelligence applications. It serves as both a reference guide and an inspiration for professionals seeking to implement intelligent, data-driven, and sustainable approaches to water assessment and planning.

This edited volume presents a comprehensive exploration of modern techniques and methodologies for evaluating water quality and suitability. It bridges traditional experimental approaches with cutting-edge artificial intelligence and remote sensing tools, offering an innovative perspective on sustainable water resource management.It delves into multidisciplinary insights that combine environmental science, data analytics, and hydrological modeling. Key topics include experimental water quality analysis, GIS-based assessment, groundwater and surface water case studies, and AI applications in hydroinformatics. Readers will benefit from practical frameworks, real-world case studies, and research-driven solutions designed to address complex challenges in water suitability evaluation.This is an essential resource for researchers, academicians, environmental engineers, policymakers, and postgraduate students working in water resource management, environmental sustainability, and artificial intelligence applications. It serves as both a reference guide and an inspiration for professionals seeking to implement intelligent, data-driven, and sustainable approaches to water assessment and planning.