Surface and Groundwater Resources Development and Management in Semi-arid Region (eBook)
IX, 427 Seiten
Springer International Publishing (Verlag)
978-3-031-29394-8 (ISBN)
This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other countries, providing a stable output presentation by using machine learning data mining methods, and modeling. It is a combination of machine learning, modeling, google earth engine, climate data modeling, remote sensing and GIS techniques, surface water modeling, AHP modeling, groundwater quality analysis, aquifer mapping, land use and land cover analysis, forecasting of water and rainfall and so on, its use to sustainable development, planning, and management of groundwater purposes in India and other countries. The main purpose of this book will develop better outlines for the development of surface and groundwater and management in the semi-arid region climate, which supports the Sustainable Development Goals (SDGs) in India, especially on sustainable surface water and groundwater resources management.
This book provides a multidisciplinary overview for the faculty members, administrators scientists, policymakers, social science, and professionals involved in the various aspects of sustainable groundwater development, planning, and management.
Dr Manish Kumar, Assistant Professor (Con.), College of Agricultural Engineering and Technology, Dr Rajendra Prasad Central Agricultural University, Pusa, Bihar. He completed his B.Tech in Agricultural Engineering from Dr. Rajendra Prasad Central Agricultural University, Pusa, Bihar, M.Tech (SWCE) from MPUAT, Udaipur, Rajasthan, and obtained his Ph.D. in Soil and Water Conservation Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand. Before joining RPCAU, he worked as Research Associate-III at WRDM Department, IIT Roorkee. He has published more than 30 research paper in National and International Journals with more than 260 citations. Dr Kumar received several awards for his contributions in the field of research and academics. He acts as reviewers for several scientific reputed journals. His research interests include hydrological modelling, watershed management, Remote Sensing and GIS, Land Use/Land Cover Analysis, application of AI in meteorological data estimation, climate change, groundwater modelling.
Er. N. L. Kushwaha: Scientist, ICAR-Indian Agricultural Research Institute (IARI), Pusa Campus, New Delhi, India. For the past three years he has been involved in teaching and research. He completed his M. Tech. in Soil and Water Engineering from Punjab Agricultural University (PAU), Ludhiana, Punjab, India. Before joining IARI, he served as an Assistant Agricultural Engineering (AAE) at National Seeds Corporation Ltd., Hisar, Haryana for over 3 years, while he explored the sensor-based irrigation system and center pivot irrigation system for precise water application. By far, he has published 30 research papers in national and international journals with more than 250 citations. His research interests include AI in water resource management and planning, Remote Sensing, GIS, Climate change, Watershed modelling and management, Hydrogeology, Hydrological Modelling, Land use and land cover analysis, and Hyperspectral remote sensing in natural resources management.
| Erscheint lt. Verlag | 19.5.2023 |
|---|---|
| Reihe/Serie | Springer Hydrogeology | Springer Hydrogeology |
| Zusatzinfo | IX, 427 p. 172 illus., 161 illus. in color. |
| Sprache | englisch |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geologie |
| Schlagworte | groundwater resources • machine learning • Remote Sensing • Surface Water Resources • sustainable development |
| ISBN-10 | 3-031-29394-0 / 3031293940 |
| ISBN-13 | 978-3-031-29394-8 / 9783031293948 |
| Haben Sie eine Frage zum Produkt? |
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