本文關鍵詞： seasonal rainfall erosivity Richardson model cover-management factor USLE RUSLE　出處：《Journal of Geographical Sciences》2017年03期 　論文類型：期刊論文

【摘要】：Rainfall erosivity is an important climatic factor for predicting soil loss.Through the application of high-resolution pluviograph data at 5 stations in Huangshan City,Anhui Province,China,we analyzed the performance of a modified Richardson model that incorporated the seasonal variations in parameters α and β.The results showed that(1) moderate to high seasonality was presented in the distribution of erosive rainfall,and the seasonality of rainfall erosivity was even stronger;(2) seasonal variations were demonstrated in both parameters α and β of the Richardson model;and(3) incorporating and coordinating the seasonality of parameters α and β greatly improved the predictions at the monthly scale.This newly modified model is therefore highly recommended when monthly rainfall erosivity is required,such as,in planning soil and water conservation practices and calculating the cover-management factor in the Universal Soil Loss Equation(USLE) and Revised Universal Soil Loss Equation(RUSLE).
[Abstract]:Rainfall erosivity is an important climatic factor for predicting soil loss.Through the application of high-resolution pluviograph data at 5 stations in Huangshan stations in Huangshan stations in Huangshan analyzed the performance of a modified Richardson model that that the variations in parameters 偽 and 尾. Incorporating and coordinating the seasonality of parameters a and 尾 greatly improved the predictions at the monthly modified model is therefore recommended when monthly rainfall erosivity is required in planning soil and water water water and the cover-management factor factor in the Universal Universal Universal Soil Universal Universal Universal 4# Soil Loss Loss Loss Soil.
【作者單位】： State
【基金】：Fund for Creative Research Groups of National Natural Science Foundation of China,No.41321001 the National Natural Science Foundation of China,No.51379008 the Open Research Fund of the State Key Lab of Simulation and Regulation of Water Cycle in River Basin,No.2014QN04
【分類號】：S157

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本文編號：1543488