Technical Notes: A Robust Estimator of the R-factor for the Universal Soil Loss Equation
Author(s) -
Bofu Yu,
C. J. Rosewell
Publication year - 1996
Publication title -
transactions of the asae
Language(s) - English
Resource type - Journals
eISSN - 2151-0059
pISSN - 0001-2351
DOI - 10.13031/2013.27535
Subject(s) - estimator , mathematics , index (typography) , statistics , universal soil loss equation , factor (programming language) , r value (soils) , similarity (geometry) , factor analysis , econometrics , precipitation , soil loss , soil science , environmental science , geography , geology , soil water , computer science , meteorology , geomorphology , erosion , programming language , artificial intelligence , world wide web , image (mathematics)
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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