Decontamination of Subsurface Water Resources System using Contemporary Technologies provides a comprehensive approach to addressing the decontamination of subsurface water resources. It covers field experimentations, modelling strategies, remote-sensing methods, and the application of artificial intelligence.This broad coverage ensures that readers gain a well-rounded understanding of the topic. Purchasing this book offers a unique opportunity to access up-to-date, comprehensive, and scientifically grounded insights into subsurface water decontamination. This book will inform the student, researcher, policymaker, or industry practitioner and contribute to positive change in the field of water resource management.Includes up-to-date assessment tools for water quality evaluation and advanced modelling techniquesContains unique resources on the restoration of surface water resources, with step-by-step analysis to guide studentsCovers theory and practice by offering global case studies with applicationsOffers thorough overview of Machine Learning (ML)/Artificial Intelligence (AI), GIS and remote sensing, and sensors application to achieve sustainable groundwater management

Decontamination of Subsurface Water Resources System using Contemporary Technologies provides a comprehensive approach to addressing the decontamination of subsurface water resources. It covers field experimentations, modelling strategies, remote-sensing methods, and the application of artificial intelligence.This broad coverage ensures that readers gain a well-rounded understanding of the topic. Purchasing this book offers a unique opportunity to access up-to-date, comprehensive, and scientifically grounded insights into subsurface water decontamination. This book will inform the student, researcher, policymaker, or industry practitioner and contribute to positive change in the field of water resource management.- Includes up-to-date assessment tools for water quality evaluation and advanced modelling techniques- Contains unique resources on the restoration of surface water resources, with step-by-step analysis to guide students- Covers theory and practice by offering global case studies with applications- Offers thorough overview of Machine Learning (ML)/Artificial Intelligence (AI), GIS and remote sensing, and sensors application to achieve sustainable groundwater management

This book focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.

This book focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.

Decontamination of Subsurface Water Resources System using Contemporary Technologies provides a comprehensive approach to addressing the decontamination of subsurface water resources. It covers field experimentations, modelling strategies, remote-sensing methods, and the application of artificial intelligence.This broad coverage ensures that readers gain a well-rounded understanding of the topic. Purchasing this book offers a unique opportunity to access up-to-date, comprehensive, and scientifically grounded insights into subsurface water decontamination. This book will inform the student, researcher, policymaker, or industry practitioner and contribute to positive change in the field of water resource management.Includes up-to-date assessment tools for water quality evaluation and advanced modelling techniquesContains unique resources on the restoration of surface water resources, with step-by-step analysis to guide studentsCovers theory and practice by offering global case studies with applicationsOffers thorough overview of Machine Learning (ML)/Artificial Intelligence (AI), GIS and remote sensing, and sensors application to achieve sustainable groundwater management

Decontamination of Subsurface Water Resources System using Contemporary Technologies provides a comprehensive approach to addressing the decontamination of subsurface water resources. It covers field experimentations, modelling strategies, remote-sensing methods, and the application of artificial intelligence.This broad coverage ensures that readers gain a well-rounded understanding of the topic. Purchasing this book offers a unique opportunity to access up-to-date, comprehensive, and scientifically grounded insights into subsurface water decontamination. This book will inform the student, researcher, policymaker, or industry practitioner and contribute to positive change in the field of water resource management.- Includes up-to-date assessment tools for water quality evaluation and advanced modelling techniques- Contains unique resources on the restoration of surface water resources, with step-by-step analysis to guide students- Covers theory and practice by offering global case studies with applications- Offers thorough overview of Machine Learning (ML)/Artificial Intelligence (AI), GIS and remote sensing, and sensors application to achieve sustainable groundwater management

This book focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.

This book focuses on the thematic areas of water resource, agriculture, and environmental domains. This book covers advances in modelling approaches, including Machine Learning (ML)/ Artificial Intelligence (AI) applications; GIS and remote sensing; and sensors; to provide hydrological, agricultural, and environmental solutions during the ongoing climate crisis. This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.