[1]WU Ming-zuo,SHEN Chong,YANG Xi-tian,et al.A Study on Spatial and Temporal Variation of Rainfall Erosivity in He’nan Province and Comparison of Its Calculation Methods[J].Research of Soil and Water Conservation,2011,18(02):10-13,20.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 02
Page number:
10-13,20
Column:
Public date:
2011-04-20
- Title:
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A Study on Spatial and Temporal Variation of Rainfall Erosivity in He’nan Province and Comparison of Its Calculation Methods
- Author(s):
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WU Ming-zuo, SHEN Chong, YANG Xi-tian, ZHANG Zhi-fang, ZHANG Jun
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College of Forestry, He’nan Agricultural University, Zhengzhou 450002, China
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- Keywords:
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He’nan Province; rainfall erosivity; daily rainfall amount model; CREAMS model; spatio-temporal variation
- CLC:
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S157.1
- DOI:
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- Abstract:
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Rainfall is main cause for soil erosion and water loss. Rainfall erosivity is main dynamic index. Therefore, estimating the rainfall erosivity and analyzing its spatial and temporal variation are the key to predicting soil erosion and water loss. Using the daily rainfall data of 191 meteorological sites in He’nan Province from the year the site establishment to the year of 2003, and the different rainfall erosivity calculating method, this paper calculated the rainfall erosivity of 119 sites across He’nan Province, analyzed the spatial and temporal variation, and compared the different calculating methods. The results showed that the average rainfall erosivity in He’nan Province is generally increasing from north to south and from west to east; the maximum appears in Jigongshan Mountain, Xinxian County and Shangcheng County in the southern part of He’nan Province. The yearly rainfall erosivity of all sites varies much with no periodical principle. All of the calculation method can explain the spatial and temporal variation, but the actual data is much different. The three methods based on daily precipitation data are much close to reality, and in which the CREAMS model could be further used for its easier calculation.