A Robust Estimate of the R-Factor for the Universal Soil Loss Equation

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Author(s)
Yu, B
Rosewell, CJ
Griffith University Author(s)
Year published
1996
Metadata
Show full item recordAbstract
Mean monthly precipitation data from 29 sites in southeastern Australia were used to estimate the R-factor in the Universal Soil Loss Equation. The relationship between mean annual precipitation and the R-factor is very good (r2 = 0.91) and shows a remarkable similarity to that for the continental United States, suggesting a universal nature of this relationship for possible worldwide application. Use of the Modified Fournier Index does not significantly improve the R-factor estimation relation.Mean monthly precipitation data from 29 sites in southeastern Australia were used to estimate the R-factor in the Universal Soil Loss Equation. The relationship between mean annual precipitation and the R-factor is very good (r2 = 0.91) and shows a remarkable similarity to that for the continental United States, suggesting a universal nature of this relationship for possible worldwide application. Use of the Modified Fournier Index does not significantly improve the R-factor estimation relation.
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Journal Title
Transactions of the ASAE
Volume
39
Copyright Statement
© 1996 American Society of Agricultural and Biological Engineers (ASABE). The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.