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Hydrological Modelling in Arid and Semi-Arid Areas

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ISBN-10: 0521869188

ISBN-13: 9780521869188

Edition: 2007

Authors: Howard Wheater, Soroosh Sorooshian, K. D. Sharma

List price: $185.00
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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, and this book presents chapters from contributors to the workshop. It includes case studies from the world's major arid regions to demonstrate model…    
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Book details

List price: $185.00
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 11/22/2007
Binding: Hardcover
Pages: 222
Size: 9.25" wide x 11.25" long x 0.50" tall
Weight: 1.848
Language: English

K. D. Sharma is Director of the National Institute of Hydrology, India, and a member of the GWADI Steering Committee. He is also a visiting fellow at the Chinese Academy of Sciences and the Winand Staring Centre, the Netherlands.

Modelling hydrological processes in arid and semi-arid areas - an introduction
Global precipitation estimation from satellite imagery using artificial neural networks
Modelling semi-arid and arid hydrology and water resources - the southern Africa experience
Use of the ihacres rainfall-runoff model in arid and semi-arid regions
KINEROS2 and the AGWA modelling framework
A distributed spatial sediment delivery model for arid regions
The Modular Modeling System (MMS): a toolbox for water and environmental resources management
Calibration, uncertainty and regional analysis of conceptual rainfall-runoff models
Real-time flow forecasting
Real-time flood forecasting - Indian experience
Groundwater modeling in hard-rock terrain in semi-arid areas: experience from India