A comparison of the R-factor in the universal soil loss equation and revised universal soil loss equation
Citation
B. Yu, A comparison of the R-factor in the universal soil loss equation and revised universal soil loss equation, T ASAE, 42(6), 1999, pp. 1615-1620
Categorie Soggetti
Agriculture/Agronomy
Journal title
TRANSACTIONS OF THE ASAE
SICI code
0001-2351(199911/12)42:6<1615:ACOTRI>2.0.ZU;2-D
Abstract
The R-factor in the Universal Soil Loss Equation/Revised Universal Soil Los
s Equation (USLE/RUSLE) characterizes the climatic influence on the average
rate of soil loss. The way in which the R-factor was calculated for RUSLE
differs from that for the USLE. Rainfall intensity data at 6-min intervals
from 41 long-term sites in the tropical region of Australia were analyzed t
o determine the discrepancy in the calculated R-factor as a result of using
different unit energy equations and different rainfall thresholds. The mea
n annual rainfall varies from 261 to 4030 mm for the 41 sites. The calculat
ed R-factor using the unit energy equation far the USLE is greater than tha
t using the unit energy equation recommended for RUSLE. The typical differe
nce is about 10% for the tropical region of Australia. The difference tends
to increase as peak rainfall intensity decreases. The percentage differenc
e in the R-factor due to different unit energy equations was found to be si
gnificantly correlated with the ratio of the R-factor to mean annual rainfa
ll. The discrepancy in the calculated R-factor due to different rainfall th
resholds increases as mean annual rainfall decreases because the relative c
ontribution to the R-factor from small storm events increases in low rainfa
ll areas. Lowering the rainfall threshold from 12.7 mm to 0.0 mm would on a
verage increase the calculated R-factor by 5% far the same region. Relation
ships based on mean annual rainfall and the R-factor were developed so that
the magnitude of the discrepancy in the calculated R-factor due to differe
nt unit energy equations and different rainfall thresholds can be readily a
ssessed.