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GIS and Geostatistical Techniques for Groundwater Science

Editat de Senapathi Venkatramanan, Prasanna Mohan Viswanathan, Sang Yong Chung
en Limba Engleză Paperback – 29 mai 2019
GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies. As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources. Beginning with an introduction to the history of GIS and geostatistical techniques in groundwater studies, the book then describes various spatial techniques, including case studies for various applications, from quality assessment, to resource management. This book assembles the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, one of our most important natural resources.


  • Provides details on the application of GIS and statistics in groundwater studies
  • Includes practical coverage of the use of spatial analysis techniques in groundwater science
  • Bridges the gap between geostatistics and GIS as it relates to groundwater science and management
  • Offers worldwide case studies to illustrate various techniques and applications in addressing groundwater issues
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Specificații

ISBN-13: 9780128154137
ISBN-10: 0128154136
Pagini: 389
Dimensiuni: 216 x 276 x 24 mm
Greutate: 0.9 kg
Editura: ELSEVIER SCIENCE

Public țintă

Geologists, Geophysicists, Geochemists, Environmentalists, Hydrogeologists, Soil scientists, environmental engineers

Cuprins

Introduction and History of GIS and Geostatistical Techniques in Groundwater Science
1. Fundamentals of GIS
2. General Introduction of Geostatistical Techniques
3. History of GIS and Geostatistical techniques in groundwater science
4. Merits and Demerits of GIS and Geostatistical Techniques
Types of Geospatial Analysis Techniques
5. Introduction of various spatial analyses
6. Inverse distance weighted and Kriging
7. Spline
8. Fuzzy
9. Cluster and Grouping Analysis
10. Correlation and Regression
11. Time Series Analysis
12. Artificial Neural Network
Groundwater quality assessment using GIS and Geostatistical aspects
13. Groundwater contaminations related with climate change
14. Groundwater quality contamination related with urbanization
15. Groundwater and Surface Water Interaction
16. Groundwater Contamination Related to Seawater Intrusion
17. Organic Contamination (Hydrocarbon, LNAPL, DNAPL)
18. Fluoride contamination
19. Arsenic contamination
20. Heavy metal contamination
Application of GIS and Geostatistical techniques in groundwater resources management
21. Groundwater, River basin, Watershed management
22. Water management for agricultural utilization