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  • 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)
    Yu, Bofu
    Year published
    1996
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    Abstract
    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
    DOI
    https://doi.org/10.13031/2013.27535
    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.
    Publication URI
    http://hdl.handle.net/10072/31145
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    • Journal articles

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