Buch, Englisch, 450 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 880 g
Buch, Englisch, 450 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 880 g
ISBN: 978-0-323-99963-2
Verlag: William Andrew Publishing
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.
Autoren/Hrsg.
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Weitere Infos & Material
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