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Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau

文献类型：期刊论文

作者Huang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.; Mingbin Huang2,3; S. Lee Barbour4; Wenhai Shi1,2
刊名SOIL & TILLAGE RESEARCH
出版日期2018
卷号180页码:137-147
ISSN号0167-1987
关键词Chinese Soil Loss Equation (Csle) Soil Conservation Service Curve Number (Scs-cn) Method Surface Runoff Soil Erosion
DOI10.1016/j.still.2018.03.001
文献子类Article
英文摘要The Loess Plateau region of China is one of the most erodible areas in the world. Several conservation practices have been considered to reduce soil and water losses in this region and a range of erosion models used to predict storm-based surface runoff and soil loss. In particular, the Chinese Soil Loss Equation (CSLE) has been widely used to assess soil losses for a range of different land-use types. However, the CSLE as originally developed was only based on estimating gross annual soil loss. The present study proposes the use of a rainfall-runoff erosivity factor to estimate storm-based soil loss using the CSLE. The factor was developed using data from three runoff erosion plots in each of three different watersheds of the Loess Plateau over three different time periods (1956-1959; 1973-1980; 2010-2013). The modified CSLE was evaluated using data from 165 storm-runoff events from six plots in two watersheds. The performance of the modified CSLE was compared with that of the storm-based Revised Universal Soil Loss Equation (RUSLE). The findings during calibration (88 storms) and validation (77 storms) show the storm-based CSLE is highly accurate in terms of model efficiency as determined by the Nash-Sutcliffe efficiency (NSE) (calibration: 65.7%, validation: 75.1%) and root mean square error (RMSE) (calibration: 4.36 t ha(-1), validation: 3.23 t ha(-1)). The modified CSLE also performs better than the storm based RUSLE during both calibration (NSE = 58.3% and RMSE = 4.81 t ha(-1)) and validation (NSE = 48.3% and RMSE = 4.64 t ha(-1)). The storm-based CSLE was then used to predict soil loss in the three experimental plots of the third watershed using the parameters obtained from the previously monitored six plots. Unlike the first and second watersheds, surface runoff in the third watershed was estimated using the modified Soil Conservation Service curve number (SCS-CN) method and compared to measurements. The measured and estimated runoff for the storm-based CSLE has NSE values of 64.7 and 60.8%, respectively. High NSE values indicate that the proposed storm-based CSLE, which incorporates the modified SCS-CN, can accurately predict storm-based soil loss that is normally caused by sheet and rill erosion at the field scale on the Loess Plateau. This approach can be applied to other areas after calibrating for suitable model parameters.
学科主题Agriculture
出版地PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000433653300015
资助机构National Natural Science Foundation of China [41571130082, 41571213] ; National Natural Science Foundation of China [41571130082, 41571213] ; National Natural Science Foundation of China [41571130082, 41571213] ; National Natural Science Foundation of China [41571130082, 41571213]
源URL[http://ir.iswc.ac.cn/handle/361005/8204]  
专题水保所科研产出--SCI_2018--SCI
通讯作者Huang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.CAS & MWR, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Fanning Loess P, Yangling 712100, Shaanxi, Peoples R China
3.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
4.Univ Saskatchewan, Dept Civil Geol & Environm Engn, Saskatoon, SK, Canada
推荐引用方式
GB/T 7714		 Huang, MB ,Mingbin Huang,S. Lee Barbour,et al. Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau[J]. SOIL & TILLAGE RESEARCH,2018,180:137-147.
APA Huang, MB ,Mingbin Huang,S. Lee Barbour,&Wenhai Shi.(2018).Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau.SOIL & TILLAGE RESEARCH,180,137-147.
MLA Huang, MB ,et al."Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau".SOIL & TILLAGE RESEARCH 180(2018):137-147.

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来源：水土保持研究所

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