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Spatial Distribution and Temporal Trends of Rainfall Erosivity in Three Gorges Reservoir Area of China

机译:Spatial Distribution and Temporal Trends of Rainfall Erosivity in Three Gorges Reservoir Area of China

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摘要

Rainfall erosivity is a key factor to predict soil erosion rate in universal soil loss equation (USLE) and revised USLE (RUSLE). Understanding rainfall erosivity characteristics, especially its spatial distribution and temporal trends, is essential for soil erosion risk assessment and soil conservation planning. In this study, the spatial-temporal variation of rainfall erosivity in the Three Gorges Reservoir Area (TGRA) of China during 1960-2010, at annual and seasonal scales, was explored based on daily rainfall data from 40 stations (26 meteorological stations and 14 hydrologic stations). The Mann-Kendall test and Co-kriging interpolation method were applied to detect the temporal trends and spatial patterns. The results showed that TGRA's annual rainfall erosivity increased from west, south, and east to the north-central, ranging from 3647.0 to 10884.8 MJ center dot mm center dot ha(-1)center dot h(-1) with an average value of 6108.1 MJ center dot mm center dot ha(-1)center dot h(-1). The spatial distribution of summer and autumn rainfall erosivity was similar to the pattern of annual rainfall erosivity. Summer is the most erosive season among four seasons, accounting for 53% of the total annual rainfall erosivity, and winter is the least erosive season. July is the most erosive month with an average of 1327.3 MJ center dot mm center dot ha(-1)center dot h(-1), and January is the least erosive month. Mean rainfall erosivity was 5969.2 MJ center dot mm center dot ha(-1)center dot h(-1) during 1960-2010, with the lowest value of 3361.0 MJ center dot mm center dot ha(-1)center dot h(-1) in 1966 and highest value of 8896.0 MJ center dot mm center dot ha(-1)center dot h(-1) in 1982. Mann-Kendall test showed that the annual rainfall erosivity did not change significantly across TGRA. Seasonal rainfall erosivity showed a significant decrease in autumn and insignificant decrease in summer and winter. Monthly rainfall erosivity in TGRA showed insignificant increases from Jun to Jul and then underwent decreases from Aug to Nov. and from Dec to Feb and it rose again in Feb reaching a 0.01 level significance. The daily rainfall data of supplemental stations is very useful to interpolate rainfall erosivity map, which could help to find the credible maximum and minimum value of TGRA. In total, the findings could provide useful information both for soil erosion prediction, land management practices, and sediment control project of TGRA.

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    Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China|Nanchang Inst Technol, Sch Hydraul & Ecol Engn, Nanchang 330099, Jiangxi, Peoples R China;

    Yangtze River Sci Res Inst, Soil & Water Conservat Dept, Wuhan 430010, Peoples R China;

    Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Peoples R China|Yangtze River Sci Res Inst, Soil & Water Conservat Dept, Wuhan 430010, Peoples R ChinaNanchang Inst Technol, Sch Hydraul & Ecol Engn, Nanchang 330099, Jiangxi, Peoples R China;

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