In the face of unprecedented challenges in managing water resources, the integration of artificial intelligence (AI) emerges as a revolutionary force, reshaping the landscape of water conservation, treatment, irrigation, policy formulation, watershed management, and the monitoring of groundwater and surface water. This book explores the transformative role of AI in the water domain, exploring cutting-edge applications and innovative solutions that promise to address pressing issues in sustainable water management. As we navigate the complexities of a changing climate, population growth, and urbanization, the chapters within this book offer insights into how AI technologies can enhance efficiency, optimize resource utilization, and provide data-driven strategies for ensuring the resilience and sustainability of our vital water ecosystems. From intelligent water treatment systems to precision agriculture and policy decision support, each chapter unfolds a narrative of AI-driven advancements, providing a comprehensive guide for researchers, practitioners, and policymakers navigating the intersection of artificial intelligence and water management.

This contributed volume is focused on  SDG 3, 6, 7 ,9, 11, 15, and it covers extensive knowledge on damage and loss contexts of climate change in a developing country.  India’s vast landscape with its diversity of eco-geo-physiography, socio-cultural, and developmental settings, coupled with climate change and anthropogenic factors, makes it one of the most disaster-prone countries of the world and, thus, representing almost all the disasters and extreme events associated with climate change, variability, and weather phenomenon.

Besides common hazards,such as heavy rainfall, floods, drought, cyclone and heat wave, secondary and composite disasters like forest fires and disease epidemics are also covered with case studies and examples. Cross-cutting aspects like infrastructure resilience, gender and social equity concerns, legal and assessment tools, and futuristic vision have been covered well in the book. Disaster risk reduction, preparedness, and resilienceas central themes of adaptation to climate change are presented through policy discussions, tools, and strategic analysis of past and recent lessons.

In the face of unprecedented challenges in managing water resources, the integration of artificial intelligence (AI) emerges as a revolutionary force, reshaping the landscape of water conservation, treatment, irrigation, policy formulation, watershed management, and the monitoring of groundwater and surface water. This book explores the transformative role of AI in the water domain, exploring cutting-edge applications and innovative solutions that promise to address pressing issues in sustainable water management. As we navigate the complexities of a changing climate, population growth, and urbanization, the chapters within this book offer insights into how AI technologies can enhance efficiency, optimize resource utilization, and provide data-driven strategies for ensuring the resilience and sustainability of our vital water ecosystems. From intelligent water treatment systems to precision agriculture and policy decision support, each chapter unfolds a narrative of AI-driven advancements, providing a comprehensive guide for researchers, practitioners, and policymakers navigating the intersection of artificial intelligence and water management.

This contributed volume is focused on  SDG 3, 6, 7 ,9, 11, 15, and it covers extensive knowledge on damage and loss contexts of climate change in a developing country.  India’s vast landscape with its diversity of eco-geo-physiography, socio-cultural, and developmental settings, coupled with climate change and anthropogenic factors, makes it one of the most disaster-prone countries of the world and, thus, representing almost all the disasters and extreme events associated with climate change, variability, and weather phenomenon.

Besides common hazards,such as heavy rainfall, floods, drought, cyclone and heat wave, secondary and composite disasters like forest fires and disease epidemics are also covered with case studies and examples. Cross-cutting aspects like infrastructure resilience, gender and social equity concerns, legal and assessment tools, and futuristic vision have been covered well in the book. Disaster risk reduction, preparedness, and resilienceas central themes of adaptation to climate change are presented through policy discussions, tools, and strategic analysis of past and recent lessons.