Case Studies in Geospatial Applications to Groundwater Resources
- 1st Edition - October 21, 2022
- Imprint: Elsevier
- Editors: Pravat Kumar Shit, Gouri Sankar Bhunia, Partha Pratim Adhikary
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 9 6 3 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 9 6 4 - 9
Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through d… Read more
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Request a sales quoteCase Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management.
Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner.
- Provides detailed case studies on groundwater resources around the world, including regions with highest groundwater resource use
- Covers modern remote sensing and geostatistical technique-based groundwater resource mapping, monitoring, and modelling
- Describes novel region-specific management strategies and techniques for sustainability with case studies to illustrate effectiveness
- Includes practical coverage of the use of geospatial analysis techniques in groundwater resources
Researchers and postgraduate students in Earth and Environmental Sciences, especially, GIS, agriculture, hydrology, natural resources, geology, sedimentology, geography, and soil science. Any postgraduates, and researchers in Water Resources, Geospatial sciences, Agro-forestry etc., and academics, environmentalists, NGOs, social scientists, and professionals in industry
- Cover Image
- Title Page
- Copyright
- Table of Contents
- Contributors
- Chapter 1 Principle of GIScience and geostatistics in groundwater modeling
- 1.1 Introduction
- 1.2 GIS and groundwater
- 1.3 Remote sensing and groundwater
- 1.4 Geostatistics and groundwater
- 1.5 Geocomputational modeling and groundwater
- 1.6 Geospatial intelligence and groundwater modeling
- 1.7 WebGIS and groundwater resource
- 1.8 Conclusion and future direction
- References
- Chapter 2 Indicator kriging and its usefulness in assessing spatial suitability of groundwater for drinking
- 2.1 Introduction
- 2.2 Basic theory of indicator kriging
- 2.3 Criticisms of indicator kriging
- 2.4 Merits of indicator kriging
- 2.5 Practical corrections to use indicator kriging
- 2.6 Applications in water science
- 2.7 Conclusions
- References
- Chapter 3 GI Science application for groundwater resources management and decision support
- 3.1 Introduction
- 3.2 Hydrosphere–geosphere–anthroposphere interlinked dynamics
- 3.3 Spatial and machine learning model for groundwater mapping
- 3.4 Big data analytics and groundwater mapping
- 3.5 Geospatial intelligence and information communication technology
- 3.6 Expert knowledge and GIScience
- 3.7 Data imbalances and new professionalism
- 3.8 Conclusion
- References
- Chapter 4 Role of groundwater potentiality and soil nutrient status on agricultural productivity: A case study in Paschim Medinipur District, West Bengal
- 4.1 Introduction
- 4.2 Study area
- 4.3 Data source and methodology
- 4.4 Result and discussions
- 4.5 Conclusion
- Conflict of interest
- References
- Chapter 5 Groundwater potential zones identification using integrated remote sensing and GIS-AHP approach in semiarid region of Maharashtra, India
- 5.1 Introduction
- 5.2 Study area
- 5.3 Methodology
- 5.4 Results & discussion
- 5.5 Conclusion
- References
- Chapter 6 GIS-based groundwater recharge potentiality analysis using frequency ratio and weights of evidence models
- 6.1 Introduction
- 6.2 Study area
- 6.3 Database and methodology
- 6.4 Results and discussion
- 6.5 Conclusion
- Conflict of interest
- References
- Chapter 7 Delineation of groundwater potential zones in the hard rock terrain of an extended part of Chhotanagpur plateau applying frequency ratio (FR) model
- 7.1 Introduction
- 7.2 Methods and materials
- 7.3 Frequency ratio model
- 7.4 Result and discussion
- 7.5 Groundwater potential zone
- 7.6 Validation of FR model
- 7.7 Conclusion
- References
- Chapter 8 Assessment of groundwater salinity risk in coastal belt of Odisha using ordinary kriging and its management
- 8.1 Introduction
- 8.2 Material and method
- 8.3 Results and discussion
- 8.4 Conclusion
- References
- Chapter 9 Integrated GIS-based MCDA approach for suitability zoning of irrigation water quality in semiarid Kansai river basin, Purulia district, West Bengal
- 9.1 Introduction
- 9.2 Study area
- 9.3 Methodology
- 9.4 AHP technique
- 9.5 Results and discussion
- 9.6 Study of major cations and anions in the area
- 9.7 Groundwater quality for irrigation based on the physicochemical parameters
- 9.8 pH
- 9.9 Total dissolved solids (TDS)
- 9.10 Total hardness (TH)
- 9.11 Salinity hazard
- 9.12 Sodium absorption ratio (SAR)
- 9.13 Sodium percentage (Na %)
- 9.14 Magnesium adsorption ratio (MAR)
- 9.15 Residual sodium carbonate (RSC)
- 9.16 Kelly's ratio (KR)
- 9.17 Permeability index (PI)
- 9.18 Groundwater irrigation suitability zone
- 9.19 Conclusion
- Acknowledgment
- Competing interests
- References
- Chapter 10 Field-based spatio-temporal monitoring of hydrograph network stations to predict the long-term behavioral pattern of groundwater regime and its implications in India: A review
- 10.1 Introduction
- 10.2 Methodology
- 10.3 Discussion
- 10.4 Conclusions
- Acknowledgments
- References
- Chapter 11 Groundwater resources in Nigeria: Case study of distribution and quality at a medium-size urban settlement-scale
- 11.1 Introduction
- 11.2 Research problem
- 11.3 Study area
- 11.4 Materials and methods
- 11.5 Results
- 11.6 Discussion
- References
- Chapter 12 Assessing groundwater potential zone of Ong river basin using geospatial technology
- 12.1 Introduction
- 12.2 Study area
- 12.3 Materials and methods
- 12.4 Result and discussion
- 12.5 Conclusion
- References
- Chapter 13 Innovative trend analysis of groundwater resources under changing climate in Malda district, India
- 13.1 Introduction
- 13.2 Study area
- 13.3 Database and methodology
- 13.4 Results and discussion
- 13.5 Conclusion
- Acknowledgments
- Conflict of interest
- References
- Chapter 14 Assessing vulnerability of groundwater resource in urban and sub-urban areas of Siliguri, North Bengal (India): A special reference to LULC alteration
- 14.1 Introduction
- 14.2 Brief description of the study area
- 14.3 Study materials and methodology
- 14.4 Results and discussion
- 14.5 Ground truth validation of the groundwater vulnerability map
- 14.6 Conclusion
- Acknowledgement
- Conflict of the interest
- References
- Chapter 15 Groundwater fluctuation and agricultural insecurity: A geospatial analysis of West Bengal in India
- 15.1 Introduction
- 15.2 Study Area
- 15.3 Data and methods
- 15.4 Results and discussion
- 15.5 Conclusion
- References
- Chapter 16 Assessment of groundwater quality for irrigation purposes: A case study of Hooghly District, West Bengal, India
- 16.1 Introduction
- 16.2 Study area
- 16.3 Datasets and methodology
- 16.4 Results and discussion
- 16.5 Conclusion
- References
- Chapter 17 Geo-spatial assessment of groundwater drought risk zone due to drought propagation in the Upper Dwarakeshwar River Basin (UDRB), West Bengal
- 17.1 Introduction
- 17.2 Study area
- 17.3 Methodology
- 17.4 Physical Groundwater Drought Hazard (PGDH)
- 17.5 Meteorological drought risk (Mr)
- 17.6 Parameters used in meteorological drought risk assessment
- 17.7 Hydro-geological exposure (He)
- 17.8 Socio-economic Groundwater Drought Vulnerability (SGDV)
- 17.9 Result
- 17.10 Integrated GWDR map
- 17.11 Discussion
- 17.12 Validation
- 17.13 Conclusion
- Acknowledgement
- Conflict of interest
- Reference
- Chapter 18 Assessment of groundwater level fluctuations in and around Ranchi district, Jharkhand using geospatial datasets and methods
- 18.1 Introduction
- 18.2 The study area
- 18.3 Objectives
- 18.4 Datasets and methods
- 18.5 Results and findings
- 18.6 Conclusion
- References
- Chapter 19 Groundwater conservation and management: Recent trends and future prospects
- 19.1 Introduction
- 19.2 Water, land, energy, and agriculture
- 19.3 Groundwater prospects and geographical settings
- 19.4 Advancement in groundwater data
- 19.5 Opportunities of sensor
- 19.6 Advancement of space technology
- 19.7 Water treatment technology
- 19.8 Integrating monitoring network
- 19.9 Strengthening scientific support
- 19.10 Encouraged public engagement
- 19.11 Future planned and conservation strategy
- 19.12 Conclusion
- References
- Chapter 20 Seasonal fluctuation of groundwater table and its impact on rural livelihood: A village level study at coastal belt of Purba Medinipur District, India
- 20.1 Introduction
- 20.2 Data base and methodology
- 20.3 Results and discussion
- 20.4 Conclusion
- Acknowledgement
- References
- Index
- Edition: 1
- Published: October 21, 2022
- Imprint: Elsevier
- No. of pages: 432
- Language: English
- Paperback ISBN: 9780323999632
- eBook ISBN: 9780323999649
PS
Pravat Kumar Shit
Dr. Pravat Kumar Shit is Assistant Professor in the Department of Geography, Vidyasagar University, India and also works in the Postgraduate Department of Geography, Raja N. L. Khan Women’s College, India. He received his Ph.D. in Applied Geomorphology from Vidyasagar University in 2013, M.Sc. in Geography and Environment Management from Vidyasagar University in 2005 and PG Diploma in Remote Sensing & GIS from Sambalpur University in 2015. His main fields of research are soil erosion spatial modelling, water resource and natural resource mapping, and geospatial modelling, and has published over 50 international and national research articles in various renowned journals. He has published three books and is an associate editor or on the editorial board of three international journals in geography and environmental science.
Affiliations and expertise
Assistant Professor, Postgraduate Department of Geography, Raja N. L. Khan Women’s College (Autonomous), Gope Palace, Midnapore, West Bengal, IndiaGB
Gouri Sankar Bhunia
Dr. Gouri Sankar Bhunia earned his Ph.D. in 2015 from the University of Calcutta in India. His Ph.D. dissertation focused on applying geospatial technologies to prevent infectious disease in the environment. Environmental modeling, risk assessment, natural resource mapping and modeling, data mining, and information retrieval utilizing geospatial technologies are among his research interests. Dr. Bhunia serves on the editorial boards of three international journals in health GIS and geosciences as an associate editor. Dr. Bhunia has published more than 60 articles in Scopus-indexed publications.
Affiliations and expertise
Remote Sensing and GIS consultant, TPF Gentisa Euroestudio SL, IndiaPA
Partha Pratim Adhikary
Dr Partha Pratim Adhikary, is presently a Senior Scientist in Soil Physics and Soil and Water Conservation at ICAR-Indian Institute of Soil and Water Conservation, India. He obtained his Bachelors’ degree in Agriculture from Bidhan Chandra Krishi Viswavidyalaya, Masters’ degree in Soil Science from Chaudhury Charan Singh Haryana Agricultural University, and Ph.D. in Agricultural Physics from ICAR-Indian Agricultural Research Institute. Dr Adhikary has over 100 publications in journals, and has worked on many edited books, and book chapters. Dr Adhikary has over 12 years’ experience in research, training and extension in the field of soil physics, spatial variability, soil and water conservation and watershed management. He has successfully used non-parametric spatial interpolation techniques such as indicator kriging and probability kriging to determine heavy metal pollution in soil and groundwater.
Affiliations and expertise
Senior Scientist, Soil Physics and Soil and Water Conservation Department, ICAR Indian Institute of Water Management, Bhubaneswar, IndiaRead Case Studies in Geospatial Applications to Groundwater Resources on ScienceDirect