ISWC OpenIR  > 水保所科研产出--SCI  > 2018--SCI
Storm-based CSLE that incorporates the estimated runoff for soil loss prediction on the Chinese Loess Plateau
Wenhai Shi1,3; Mingbin Huang1,2; S. Lee Barbour4; Huang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.
SubtypeArticle
2018
Source PublicationSOIL & TILLAGE RESEARCH
ISSN0167-1987
description.correspondentemailhmbd@nwsuaf.edu.cn
Volume180Pages:137-147
AbstractThe 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.
KeywordChinese Soil Loss Equation (Csle) Soil Conservation Service Curve Number (Scs-cn) Method Surface Runoff Soil Erosion
Subject AreaAgriculture
DOI10.1016/j.still.2018.03.001
Indexed BySCI
Publication PlacePO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Language英语
WOS IDWOS:000433653300015
PublisherELSEVIER SCIENCE BV
Funding OrganizationNational Natural Science Foundation of China [41571130082, 41571213] ; National Natural Science Foundation of China [41571130082, 41571213]
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8204
Collection水保所科研产出--SCI_2018--SCI
Corresponding AuthorHuang, MB (reprint author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China.
Affiliation1.CAS & MWR, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Fanning Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Saskatchewan, Dept Civil Geol & Environm Engn, Saskatoon, SK, Canada
Recommended Citation
GB/T 7714
Wenhai Shi,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 Wenhai Shi,Mingbin Huang,S. Lee Barbour,&Huang, MB .(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 Wenhai Shi,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.
Files in This Item:
File Name/Size DocType Version Access License
2-36.pdf(1459KB)期刊论文作者接受稿开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wenhai Shi]'s Articles
[Mingbin Huang]'s Articles
[S. Lee Barbour]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wenhai Shi]'s Articles
[Mingbin Huang]'s Articles
[S. Lee Barbour]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wenhai Shi]'s Articles
[Mingbin Huang]'s Articles
[S. Lee Barbour]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.