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GIS and Geocomputation for Water Resource Science and Engineering

GIS and Geocomputation for Water Resource Science and Engineering

          
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About the Book

GIS and Geocomputation for Water Resource Science and Engineering not only provides a comprehensive introduction to the fundamentals of geographic information systems but also demonstrates how GIS and mathematical models can be integrated to develop spatial decision support systems to support water resources planning, management and engineering. The book uses a hands-on active learning approach to introduce fundamental concepts and numerous case-studies are provided to reinforce learning and demonstrate practical aspects. The benefits and challenges of using GIS in environmental and water resources fields are clearly tackled in this book, demonstrating how these technologies can be used to harness increasingly available digital data to develop spatially-oriented sustainable solutions. In addition to providing a strong grounding on fundamentals, the book also demonstrates how GIS can be combined with traditional physics-based and statistical models as well as information-theoretic tools like neural networks and fuzzy set theory.



Table of Contents:
Part I: Gis, Geocomputation, And Gis Data 1. Introduction 2. A Brief History Of Gis And Its Use In Water Resources Engineering 3. Hydrologic Systems And Spatial Datasets 4. Water-Related Geospatial Datasets 5. Data Sources And Models Part Ii: Foundations Of Gis 6. Data Models For Gis 7. Global Positioning Systems (Gps) And Remote Sensing 8. Data Quality, Errors, And Uncertainty 9. Gis Analysis: Fundamentals Of Spatial Query 10. Topics In Vector Analysis 11. Topics In Raster Analysis 12. Terrain Analysis And Watershed Delineation Part Iii: Foundations Of Modeling 13. Introduction To Water Resources Modeling 14. Water Budgets And Conceptual Models 15. Statistical And Geostatistical Modeling 16. Decision Analytic And Information Theoretic Models 17. Considerations For Gis And Model Integration 18. Useful Geoprocessing Tasks While Carrying Out Water Resources Modeling 19. Automating Geoprocessing Tasks In Gis Part Iv: Illustrative Case Studies A Preamble To Case Studies 20. Watershed Delineation 21. Loosely Coupled Hydrologic Model 22. Watershed Characterization 23. Tightly Coupled Models With Gis For Watershed Impact Assessment 24. Gis For Land Use Impact Assessment 25. Tmdl Curve Number 26. Tight Coupling Mcdm Models In Gis 27. Advanced Gis Mcdm Model Coupling For Assessing Human Health Risks 28. Embedded Coupling With Java 29. Gis-Enabled Physics-Based Contaminant Transport Models For Mcdm 30. Coupling Of Statistical Methods With Gis For Groundwater Vulnerability Assessment 31. Coupling Of Fuzzy Logic-Based Method With Gis For Groundwater Vulnerability Assessment 32. Tight Coupling Of Artificial Neural Network (Ann) And Gis 33. Loose Coupling Of Artificial Neuro-Fuzzy Information System (Anfis) And Gis 34. Gis And Hybrid Model Coupling 35. Coupling Dynamic Water Resources Models With Gis 36. Tight Coupling Of Well Head Protection Models In Gis With Vector Datasets 37. Loosely Coupled Models In Gis For Optimization 38. Epilogue


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Product Details
  • ISBN-13: 9781118354131
  • Publisher: American Geophysical Union
  • Publisher Imprint: American Geophysical Union
  • Depth: 25
  • Language: English
  • Returnable: Y
  • Spine Width: 28 mm
  • Width: 216 mm
  • ISBN-10: 1118354133
  • Publisher Date: 26 Jan 2016
  • Binding: Paperback
  • Height: 277 mm
  • No of Pages: 576
  • Series Title: Wiley Works
  • Weight: 1563 gr


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