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Case Studies in Geospatial Applications to Groundwater Resources

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2022
ISBN13: 9780323999632
Rubricering
Elsevier Science e druk, 2022 9780323999632
€ 173,80
Levertijd ongeveer 8 werkdagen

Samenvatting

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 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.

Specificaties

ISBN13:9780323999632
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

Part I: GIScience and Geostatistical Techniques<br>1. Principles of GIScience and Geostatistics<br>2. Spatial variability, semivariogram and kriging<br>3. Geostatistical Simulation and Groundwater<br>4. Groundwater and Internet of Things (IoT)<br>5. Groundwater Modeling with Machine Learning Techniques<br>6. Soft computing and Groundwater<br>7. GeoComputation and Groundwater<br>8. GIScience Application for Groundwater Resources Management and Decision Support<br><br>Part II: Geospatial Mapping, Monitoring, and Modelling of Groundwater Resources<br>9. Field-based monitoring of groundwater 10. Satellite-based monitoring of groundwater resources<br>11. GIS-based estimates of groundwater<br>12. Spatial Prediction of Arsenic Contamination and its impact on plant and human<br>13. Geovisualization of Fluoride Contamination and its impact on plant and human<br>14. Spatial Variability of Heavy metal Contamination and its impact on plant and human<br>15. Groundwater Contamination related to Seawater Intrusion<br>16. Groundwater quality in relation with urbanization<br>17. Groundwater contaminations and climate change<br><br>Part III: Application of Geospatial Techniques for Sustainable Groundwater Development<br>18. Groundwater development through watershed management<br>19. River basin management<br>20. Agricultural water management<br>21. Propagation and spatial distribution of drought in a groundwater catchment<br>22. Communality based peoples’ participation in groundwater management<br>23. Groundwater irrigation: trends and regional imbalances<br>24. Groundwater prediction using artificial neural networks<br>25. Open source data and software for groundwater management<br>26. Recent trends in groundwater resources management and land use planning
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        Case Studies in Geospatial Applications to Groundwater Resources