Technology-based Solutions for Sustainable Groundwater Management : Challenges, Models, and Strategies
Das, Jayanta (EDT); Pradhan, Biswajeet (EDT); Mitra, Rajib (EDT); Chouhan, Pradip (EDT); Lee, Changwook (EDT)
Lingua: inglese
Editore: Elsevier, 2025
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- Titolo
- Technology-based Solutions for Sustainable Groundwater Management : Challenges, Models, and Strategies
- Autore
- Das, Jayanta (EDT); Pradhan, Biswajeet (EDT); Mitra, Rajib (EDT); Chouhan, Pradip (EDT); Lee, Changwook (EDT)
- Editore
- Elsevier
- Anno di pubblicazione
- 2025
- Condizione
- New
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 044333787X
- ISBN 13
- 9780443337871
It showcases a range of innovative tools, from remote sensing and GIS to artificial intelligence and machine learning, highlighting their application in developing predictive models and real-time management strategies. Framed within the context of sustainable practices, these solutions aim to secure groundwater for future generations while supporting current economic and social needs. It is an indispensable resource for environmental scientists, students, and researchers, providing foundational knowledge and a guide to applying the latest technological advancements in the field.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Informazioni sull’autore
Dr. Jayanta Das is an Assistant Professor at the Department of Geography in Rampurhat College, University of Burdwan, West Bengal, India. He has completed his Post Graduate and PhD degrees from the Department of Geography and Applied Geography, University of North Bengal, India. His research interest includes agricultural modeling and sustainable management studies, groundwater, flood, drought analysis, climate change, watershed management, hydrological modeling, water quality, geospatial data analysis, data mining, and GIS applications with more than 15 academic years of experience. Dr. Jayanta Das has published more than 50 scholarly articles in peer-reviewed journals, focusing mainly on: climate change, agricultural suitability analysis, natural and man-made hazards analysis, risk management, and spatial data analysis. He has been reviewing many journals such as Advances in Space Research, Natural Hazard, Arabian journal of geosciences, Archives of agronomy and soil science, Climatic Change, Environment, Development and Sustainability, Geo Journal, Sustainability, SN Applied Sciences, Geocarto International, Environmental Science and Pollution Research. Dr. Das has also published 3 edited books with Springer Nature. He has served as an editor for the Journal of Water and as a guest editor for Environmental Science and Pollution Research (ESPR), published by Springer. His academic endeavors are further highlighted by his leadership in organizing international seminars and receiving prestigious awards for his research contributions.
Professor Pradhan is a globally recognized expert in geospatial analytics and artificial intelligence applications in Earth and environmental sciences. Currently a Distinguished Professor at the University of Technology Sydney (UTS), Australia, he also leads the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). With a PhD in GIS-based modeling, Prof. Pradhan has over two decades of experience in spatial data science, remote sensing, natural hazard modeling, and environmental monitoring. He has been listed among the world's top 2% scientists by Stanford University and received numerous international awards, including from IEEE and Elsevier. A Fellow of the Royal Geographical Society (FRGS), he also serves on editorial boards of several top-tier journals. His research integrates geospatial AI and deep learning for disaster risk reduction, land use planning, and sustainability.
Rajib Mitra is a Ph.D. Research Scholar in the Department of Geography & Applied Geography, University of North Bengal since 2017. He has completed his master's degree from Department of Geography & Applied Geography, University of North Bengal University with achieved University Gold Medal and Bidhuranjan Adhikary Memorial Medal for securing first position in first class in Geography and Applied Geography in the Master of Arts Examination in 2015. He also achieved 'Best Paper Award' in Technical Session-1 of the ICSSR-ERC Sponsored National Seminar on 'Urbanization, Urban Environment and Sustainability in Himalayan and Sub-Himalayan Region' held on July 1-2, 2023 and 'Best Poster Award' in the Scientific Poster Competition in the International Seminar on 'Recent Advancement in Geographical Studies: A Multidimensional Outlook' held on September 1-2, 2023. His areas of interest are: hydrological modelling, fluvial geomorphology, groundwater, flood, drought analysis, sustainable watershed management, and application of remote sensing and GIS in geomorphological studies. He has published more than 30 scholarly articles (Total Citation: 180, H-index: 7, i10-index: 5) in reputed national and international journals; participated in more than 15 national and international seminars, conferences and webinars; and completed more than 10 workshops and training programmes.
Pradip Chouhan is a Professor at the Department of Geography, University of Gour Banga, Malda, West Bengal, India. Earlier he was an Assistant Professor at the Department of Geography, Jadavpur University, Kolkata. His areas of research interest are fertility behaviour, public health, maternal health and child health. Actively engaged in teaching and research in Population Geography for nearly two decades, Prof. Chouhan has published more than 50 research papers in Scopus and Web of Science-indexed journals, edited 3 books and authored 1 book. He is an academic editor of PLOS One Journal and a reviewer of Scopus and Web of Science-indexed journals. He has completed a major research project funded by the Indian Council of Social Science Research, Ministry of Human Resource, Govt. of India. Dr. Chouhan has also completed one minor research project funded by the University Grants Commission. He has successfully supervised 4 Ph.D. and 8 M.Phil scholars.
Professor Changwook Lee, an esteemed faculty member at Kangwon National University's Division of Science Education, has made significant contributions to the field of geology and remote sensing. With a B.Sc. in Geology from Kangwon National University (1999), an M.Sc. in Remote Sensing using SAR Interferometry from Yonsei University (2002), and a Ph.D. in Time-series Surface Deformation by SBAS InSAR technique from Yonsei University (2009), his academic journey is impressive. His postdoctoral work at the US Geological Survey EROS data center further solidified his expertise in InSAR applications.
Lee's career spans roles as a research professor at The University of Seoul's Department of Geoinformatics and a research scientist at the National Institution of Meteorological Research, focusing on SAR and optical imaging for geological hazards. His work, particularly on Aleutian volcanoes using advanced InSAR techniques, has been groundbreaking, contributing to the understanding of surface deformation with remarkable accuracy.
Currently, Lee is a full professor at Kangwon National University, where he teaches and supervises research on remote sensing systems and applications, employing advanced machine learning and deep learning algorithms. His scholarly output includes 80 international and 40 domestic peer-reviewed publications, receiving around 3,200 citations. His contributions have been recognized in top journals and with 11 awards for academic excellence. Lee holds a US patent, 10 domestic patents, and has published four books. He has led 30 research projects totaling approximately USD 20 million in funding, illustrating his impactful role in the field. As a Senior Member of IEEE and co-editor-in-chief of the Korean Journal of Remote Sensing, his leadership extends to significant editorial and organizational responsibilities. Additionally, he oversees the Kangwon National University Earth Observation Laboratory (KEOL) and has initiated RED, a venture focusing on resources, environment, and disaster management"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.
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