Hydrological modelling in arid and semi-arid areas
Author(s)
Bibliographic Information
Hydrological modelling in arid and semi-arid areas
(International hydrology series)
Cambridge University Press, 2008
Available at 5 libraries
  Aomori
  Iwate
  Miyagi
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  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
"This book is the product of an international workshop"--Pref
Includes bibliographical references and index
Description and Table of Contents
Description
Arid and semi-arid regions are defined as areas where water is at its most scarce. The hydrological regime in these areas is extreme and highly variable, and they face great pressures to deliver and manage freshwater resources. However, there is no guidance on the decision support tools that are needed to underpin flood and water resource management in arid areas. UNESCO initiated the Global network for Water and Development Information for arid lands (GWADI), and arranged a workshop of the world's leading experts to discuss these issues. This book presents chapters from contributors to the workshop, and includes case studies from the world's major arid regions to demonstrate model applications, and web links to tutorials and state-of-the-art modelling software. This volume is a valuable reference for researchers and engineers working on the water resources of arid and semi-arid regions.
Table of Contents
- Preface: Howard Wheater, Soroosh Sorooshian and K. D. Sharma
- 1. Modelling hydrological processes in arid and semi-arid areas - an introduction Howard Wheater
- 2. Global precipitation estimation from satellite imagery using artificial neural networks Soroosh Sorooshian, K.-L. Hsu, B. Imam and Y. Hong
- 3. Modelling semi-arid and arid hydrology and water resources - the southern Africa experience D. A. Hughes
- 4. Use of the IHACRES rainfall-runoff model in arid and semi-arid regions B. F. W. Croke and A. J. Jakeman
- 5. KINEROS2 and the AGWA modelling framework D. J. Semmens, D. C. Goodrich, C. L. Unkrich, R. E. Smith, D. A. Woolhiser and S. N. Miller
- 6. A distributed spatial sediment delivery model for arid regions K. D. Sharma
- 7. The Modular Modeling System (MMS): a toolbox for water and environmental resources management G. H. Leavesley, S. L. Markstrom, R. J. Viger and L. E. Hay
- 8. Calibration, uncertainty and regional analysis of conceptual rainfall-runoff models Howard Wheater, T. Wagener and N. McIntyre
- 9. Real-time flow forecasting P. C. Young
- 10. Real-time flood forecasting - Indian experience R. D. Singh
- 11. Groundwater modeling in hard-rock terrain in semi-arid areas: experience from India S. Ahmed, J.-C. Marechal, E. Ledoux and G. de Marsily
- Appendix.
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