Case Studies in Geospatial Applications to Groundwater Resources

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. 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. 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.

Part I: GIScience and Geostatistical Techniques
1. Principles of GIScience and Geostatistics
2. Spatial variability, semivariogram and kriging
3. Geostatistical Simulation and Groundwater
4. Groundwater and Internet of Things (IoT)
5. Groundwater Modeling with Machine Learning Techniques
6. Soft computing and Groundwater
7. GeoComputation and Groundwater
8. GIScience Application for Groundwater Resources Management and Decision Support

Part II: Geospatial Mapping, Monitoring, and Modelling of Groundwater Resources
9. Field-based monitoring of groundwater 10. Satellite-based monitoring of groundwater resources
11. GIS-based estimates of groundwater
12. Spatial Prediction of Arsenic Contamination and its impact on plant and human
13. Geovisualization of Fluoride Contamination and its impact on plant and human
14. Spatial Variability of Heavy metal Contamination and its impact on plant and human
15. Groundwater Contamination related to Seawater Intrusion
16. Groundwater quality in relation with urbanization
17. Groundwater contaminations and climate change

Part III: Application of Geospatial Techniques for Sustainable Groundwater Development
18. Groundwater development through watershed management
19. River basin management
20. Agricultural water management
21. Propagation and spatial distribution of drought in a groundwater catchment
22. Communality based peoples’ participation in groundwater management
23. Groundwater irrigation: trends and regional imbalances
24. Groundwater prediction using artificial neural networks
25. Open source data and software for groundwater management
26. Recent trends in groundwater resources management and land use planning