An amended computing method of R factor based on rainfall characteristic in Xiangjiang River Watershed
XIN Rui, WANG Ke-Lin, XU Min, SONG Xi-Juan
1.Key Laboratory of Subtropical Agriculture Ecology, Institute of Subtropical Agriculture, Chinese Academy of Sciences, 410125, Changsha; 2.Graduate School of the Chinese Academic of Science, 100039, Beijing; 3.Land and Resources Department of Hunar Province, 410001, Changsha: China
Abstract：AbstractRainfall erosivity factor R could express the potential ability of the soil loss and reflect the effect of climate factors on soil erosivity ability. At present, no study on computing method of R factor was reported in Hunan Province. In this study, different computing methods were employed to calculate rainfall erosivity factor R based on different types of precipitation records according to 21 hydrology and weather stations during nearly 50 years in Xiangjiang River watershed. Results showed that compared to the rainfall erosivity factor R3 value computed with Zhang Wenbo method, both R1 and R2 values calculated by method of Wischmemier and Fujian Province respectively were not accurate enough to be used to evaluate the rainfall erosivity factory R in this area. The errors were up to 35.99% and 45.58%. However, after the two methods were amended by rainfall pattern factors, the precision of R1 and R2 values increased by 2-4 times and the average errors decreased to 9.59% and 5.53%. It can be concluded that under the situation of lacking full daily precipitation records, the amended methods of Wischmemier and Fujian Province by rainfall pattern factories could performed optimal evaluation on rainfall erosivity factor R in this study area.
寻瑞1,2，王克林1，于闽3，宋希娟1,2. 基于侵蚀降雨特征的湘江流域R因子修正算法[J]. 中国水土保持科学, 2012, 10(1): 32-37.
XIN Rui, WANG Ke-Lin, XU Min, SONG Xi-Juan. An amended computing method of R factor based on rainfall characteristic in Xiangjiang River Watershed. SSWCC, 2012, 10(1): 32-37.
2012, Vol. 10 
