中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China

文献类型:期刊论文

作者Gao, G. Y. ; Fu, B. J. ; Lu, Y. H. ; Liu, Y. ; Wang, S. ; Zhou, J.
刊名HYDROLOGY AND EARTH SYSTEM SCIENCES
出版日期2012
卷号16期号:7页码:2347-2364
ISSN号1027-5606
中文摘要Predicting event runoff and soil loss under different land covers is essential to quantitatively evaluate the hydrological responses of vegetation restoration in the Loess Plateau of China. The Soil Conservation Service curve number (SCS-CN) and Revised Universal Soil Loss Equation (RUSLE) models are widely used in this region to this end. This study incorporated antecedent moisture condition (AMC) in runoff production and initial abstraction of the SCS-CN model, and considered the direct effect of runoff on event soil loss by adopting a rainfall-runoff erosivity factor in the RUSLE model. The modified SCS-CN and RUSLE models were coupled to link rainfall-runoff-erosion modeling. The effects of AMC, slope gradient and initial abstraction ratio on curve number of SCS-CN, as well as those of vegetation cover on cover-management factor of RUSLE, were also considered. Three runoff plot groups covered by sparse young trees, native shrubs and dense tussock, respectively, were established in the Yangjuangou catchment of Loess Plateau. Rainfall, runoff and soil loss were monitored during the rainy season in 2008-2011 to test the applicability of the proposed approach. The original SCS-CN model significantly underestimated the event runoff, especially for the rainfall events that have large 5-day antecedent precipitation, whereas the modified SCS-CN model was accurate in predicting event runoff with Nash-Sutcliffe model efficiency (EF) over 0.85. The original RUSLE model overestimated low values of measured soil loss and underpredicted the high values with EF values only about 0.30. In contrast, the prediction accuracy of the modified RUSLE model improved with EF values being over 0.70. Our results indicated that the AMC should be explicitly incorporated in runoff production, and direct consideration of runoff should be included when predicting event soil loss. Coupling the modified SCS-CN and RUSLE models appeared to be appropriate for evaluating hydrological effects of restoring vegetation in the Loess Plateau. The main advantages, limitations and future study scopes of the proposed models were also discussed.
WOS记录号WOS:000306976200034
公开日期2014-11-05
源URL[http://ir.rcees.ac.cn/handle/311016/7870]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Gao, G. Y.,Fu, B. J.,Lu, Y. H.,et al. Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China[J]. HYDROLOGY AND EARTH SYSTEM SCIENCES,2012,16(7):2347-2364.
APA Gao, G. Y.,Fu, B. J.,Lu, Y. H.,Liu, Y.,Wang, S.,&Zhou, J..(2012).Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China.HYDROLOGY AND EARTH SYSTEM SCIENCES,16(7),2347-2364.
MLA Gao, G. Y.,et al."Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China".HYDROLOGY AND EARTH SYSTEM SCIENCES 16.7(2012):2347-2364.

入库方式: OAI收割

来源:生态环境研究中心

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