Decontamination of Subsurface Water Resources System using Contemporary Technologies
Häftad, Engelska, 2025
Av Deepak Kumar, Pankaj Kumar Gupta, Bhupender Singh, Swati Verma, Canada) Kumar, Deepak (Business Analyst, Norbord Inc., India) Gupta, Pankaj Kumar, PhD (Ramanujan Fellow, Centre for Rural Development and Technology, Indian Institute of Technology (I.I.T.) Delhi, India) Singh, Bhupender (Principal Technical Officer, Indian Institute of Technology (IIT), Delhi, South Korea,) Verma, Swati (Hanyang University, Seoul
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Fri frakt för medlemmar vid köp för minst 249 kr.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.
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
Produktinformation
- Utgivningsdatum2025-06-25
- Mått216 x 276 x 18 mm
- Vikt910 g
- FormatHäftad
- SpråkEngelska
- Antal sidor334
- FörlagElsevier Science
- ISBN9780443266393