A modified RUSLE model to simulate soil erosion under different ecological restoration types in the loess hilly area  

作　　者：Guangyao Gao Yue Liang Jianbo Liu David Dunkerley Bojie Fu 

机构地区：[1]State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing,100085,China [2]University of Chinese Academy of Sciences,Beijing,100049,China [3]Tianjin Key Laboratory of Water Resources and Environment,Tianjin Normal University,Tianjin,300387,China [4]School of Earth,Atmosphere,and Environment,Faculty of Science,Monash University,Melbourne,Victoria,3800,Australia [5]National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi,Xi'an,710061,China

出　　处：《International Soil and Water Conservation Research》2024年第2期258-266,共9页国际水土保持研究（英文）

基　　金：supported by the National Natural Science Foundation of China(nos.U2243231,42041004 and 42201126);the Doctoral Foundation of Tianjin Normal University(no.52XB1910);the Youth Innovation Promotion Association CAS(no.Y202013)。

摘　　要：Soil erosion is mainly affected by the rainfall characteristics and land cover conditions,and soil erosion modelling is important for evaluating land degradation status.The revised Universal Soil Loss Equation(RUSLE)have been widely used to simulate soil loss rate.Previous studies usually considered the general rainfall characteristics and direct effect of runoff with the event rainfall erosivity factor(R_(e))to produce event soil loss(A_(e)),whereas the fluctuation of rainfall intensity within the natural rainfall profile has rarely been considered.In this study,the relative amplitude of rainfall intensity(R_(am))was proposed to generalize the features of rainfall intensity fluctuation under natural rainfall,and it was incorporated in a new R_(e)(R_(e)=R_(am)EI_(30))to develop the RUSLE model considering the fluctuation of rainfall intensity(RUSLE-F).The simulation performance of RUSLE-F model was compared with RUSLE-M1 model(R_(e)=EI_(30))and RUSLE-M2 model(R_(e)=Q_(R)EI_(30))using observations in field plots of grassland,orchard and shrubland during 2011–2016 in a loess hilly catchment of China.The results indicated that the relationship between A_(e) and R_(am)EI_(30) was well described by a power function with higher R2 values(0.82–0.96)compared to Q_(R)EI_(30)(0.80–0.88)and EI_(30)(0.24–0.28).The RUSLE-F model much improved the accuracy in simulating A_(e) with higher NSE(0.55–0.79 vs−0.11∼0.54)and lower RMSE(0.82–1.67 vs 1.04–2.49)than RUSLE-M1 model.Furthermore,the RUSLE-F model had better simulation performance than RUSLE-M2 model under grassland and orchard,and more importantly the rainfall data in the RUSLE-F model can be easily obtained compared to the measurements or estimations of runoff data required by the RUSLE-M2 model.This study highlighted the paramount importance of rainfall intensity fluctuation in event soil loss prediction,and the RUSLE-F model contributed to the further development of USLE/RUSLE family of models.

关 键 词：Soil erosion Rainfall intensity fluctuation Vegetation restoration USLE/RUSLE model Loess plateau 

分 类 号：S15[农业科学—土壤学]