Distributed Hydrologic Modeling Using GIS

1. Front Matter

   Pages i-xvi

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2. Distributed Hydrologic Modeling Using GIS

   • Baxter E. Vieux

   Pages 1-17

3. Data Sources and Structures

   • Baxter E. Vieux

   Pages 19-47

4. Surface Generation

   • Baxter E. Vieux

   Pages 49-75

5. Information Content and Spatial Variability

   • Baxter E. Vieux

   Pages 77-94

6. Infiltration

   • Baxter E. Vieux

   Pages 95-120

7. Hydraulic Roughness

   • Baxter E. Vieux

   Pages 121-134

8. Drainage Network and Topography

   • Baxter E. Vieux

   Pages 135-149

9. Precipitation

   • Baxter E. Vieux

   Pages 151-174

10. r.water.fea — An Introduction

    • Baxter E. Vieux

    Pages 175-194

11. Calibration

    • Baxter E. Vieux

    Pages 195-215

12. Distributed Modeling Case Studies

    • Baxter E. Vieux

    Pages 217-237

13. Back Matter

    Pages 239-296

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During ten years serving with the USDA Soil Conservation Service (SCS), now known as the Natural Resources Conservation Service (NRCS), I became amazed at how millions of dollars in contract monies were spent based on simplistic hydrologic models. As project engineer in western Kansas, I was responsible for building flood control dams (authorized under Public Law 566) in the Wet Walnut River watershed. This watershed is within the Arkansas-Red River basin, as is the Illinois River basin referred to extensively in this book. After building nearly 18 of these structures, I became Assistant State Engineer in Michigan and, for a short time, State Engineer for NRCS. Again, we based our entire design and construction program on simplified relationships variously referred to as the SCS method. I recall announcing that I was going to pursue a doctoral degree and develop a new hydrologic model. One of my agency's chief engineers remarked, "Oh no, not another model!" Since then, I hope that I have not built just another model but have significantly advanced the state of hydrologic modeling for both researchers and practitioners. Using distributed hydrologic techniques described in this book, I also hope one day to forecast the response of the dams I built.

• Infiltration
• agriculture
• simulation
• soil
• water
• hydrogeology

"Although this book is generally concerned with surface runoff and flood periods, the conceptions and methods, as well as the method of utilizing GIS for distributed models, are remarkably useful. Careful study of this excellent book will help achieve understanding of GIS-based distributed modeling, and it is highly recommended to students, teachers, researchers, and engineers involved in hydrology, water resources, and environmental sciences." (Bulletin of the American Meteorological Society, May 2002)

• School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, USA

  Baxter E. Vieux

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