Estimation of rainfall erosivity using 5-to 60-minute fixed-interval rainfall data from China

被引:98
作者
Yin, S.
Xie, Y. [1 ]
Nearing, M. A.
Wang, C.
机构
[1] Beijing Normal Univ, Sch Geog, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing 100875, Peoples R China
[2] USDA ARS, SW Watershed Res Ctr, Washington, DC 20250 USA
基金
中国国家自然科学基金;
关键词
rainfall erosivity index; breakpoint rainfall data; USLE; soil erosion; R-FACTOR;
D O I
10.1016/j.catena.2006.10.011
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The 30-min rainfall erosivity index (EI30) is commonly used in the Universal Soil Loss Equation for predicting soil loss from agricultural hillslopes. EI30 is calculated from the total kinetic energy and the maximum 30-min rainfall intensity of a storm. Normally, EI30 values are calculated from breakpoint rainfall information taken from continuous recording rain gauge charts, however, in many places in China and other parts of the world the detailed chart-recorded rain gauge data relative to storm intensities are not readily available, while hourly rainfall is readily available. The objective of this study was to assess the accuracy of EI30 estimations based on 5-, 10-, 15-, 30-, and 60-min time-resolution rainfall data as compared to EI30 estimations from breakpoint rainfall information. 456 storm events from five soil conservation stations in eastern China were used. The values of EI30 based on the fixed-time-interval data were less than those calculated from breakpoint data. The average conversion factors (ratio of values calculated from the breakpoint data to those from the fixed-interval data) for the five stations decreased from 1.105 to 1.009 for the estimation of E values, from 1.668 to 1.007 for 130 values, and from 1.730 to 1.014 for EI30 values as the time resolution increased from 60 to 5 min. The maximum 30-min rainfall intensity was the major source of error in estimating EI30 for 60-min fixed-interval data, while storm kinetic energy played a proportionately more significant role as the fixed-interval data decreased from 60 to 5 min. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:306 / 312
页数:7
相关论文
共 30 条
[1]  
[Anonymous], 1977, FAO SOILS B
[2]  
[Anonymous], 1983, Statistical methods
[3]  
Ateshian J. K. H., 1974, Journal of the Irrigation and Drainage Division, American Society of Civil Engineers, V100, P293
[4]  
BROWN LC, 1987, T ASAE, V30, P379
[5]  
CHRISTOPHER D, 2002, DEV NEW SPATIAL GRID
[6]   ISOEROSIVITY AND EROSION RISK MAP FOR SICILY [J].
FERRO, V ;
GIORDANO, G ;
IOVINO, M .
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1991, 36 (06) :549-564
[7]  
Hu Q, 2000, J SOIL WATER CONSERV, V55, P115
[8]  
Huang Y., 1992, J. Soil Water Conserv., V4, P1, DOI [10.13870/j.cnki.stbcxb.1992.04.001, DOI 10.13870/J.CNKI.STBCXB.1992.04.001]
[9]  
ISTOK JD, 1986, T ASAE, V29, P730
[10]  
Jia ZJ, 1987, SOIL WATER CONSERV C, P18