R-factor prediction for Australian and the U.S. sites using weather generators.

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Title R-factor prediction for Australian and the U.S. sites using weather generators.
Author Yu, Bofu
Publication Title Dynamic Monitoring, Forecasting and Evaluation of Soil Erosion, Watershed Management and Development, Desertification Control
Editor Jiao Juren
Year Published 2002
Place of publication Beijing, China
Publisher Tsinghua University Press
Abstract CLIGEN is a stochastic weather generator to produce daily variables to drive process-based runoff and erosion prediction models such as WEPP. Algorithms were developed to compute the R-factor, its monthly distribution, and 10-year storm erosion index (EI) needed to apply the revised Universal Soil Loss Equation (RUSLE) using stochastically generated weather variables. Measured R-factor and 10-year storm EI for 43 sites in Australia and 75 sites in the United States were used to test whether CLIGEN can be used to produce necessary climate inputs for RUSLE. It was found that R-factor calculated using CLIGENgenerated weather sequences is well related to the measured R-factor for these sites (r2 = 0.94, n = 118). In addition, CLIGEN-generated precipitation data can be used to predict 10-year storm EI (r2 = 0.82), and monthly distribution of rainfall erosivity for a wide range of climate environments (average discrepancy about 1.9%). CLIGEN can be used to generate a range of climate inputs for runoff and soil erosion predictions. This represents considerable improvement over existing methods to estimate climate inputs for RUSLE.
Peer Reviewed No
Published Yes
Publisher URI http://www.tucson.ars.ag.gov/isco/
Alternative URI http://www.tucson.ars.ag.gov/isco/isco12/volume_4.html
Copyright Statement Copyright remains with the author 2002. The attached file is posted here with permission of the copyright owner[s] for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website or contact the author.
ISBN 7-302-05524-6/TV.38
Conference name 12th ISCO Conference
Location Beijing, China
Date From 2002-05-26
Date To 2002-05-30
URI http://hdl.handle.net/10072/9102
Date Accessioned 2003-04-13
Language en_AU
Faculty Faculty of Environmental Sciences
Subject PRE2009-Hydrology
Publication Type Conference Publications (Full Written Paper - Non-Refereed)
Publication Type Code e2

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