中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modelling sheet erosion on steep slopes in the loess region of China

文献类型:期刊论文

作者Wu, Bing1,3; Wang, Zhanli1,2; Zhang, Qingwei2; Shen, Nan2; Liu, June4; Wang, ZL (reprint author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
刊名JOURNAL OF HYDROLOGY
出版日期2017
卷号553页码:549-558
关键词Sheet Erosion Rate Rainfall Intensity Slope Gradient Flow Velocity Hydrodynamic Parameters
ISSN号0022-1694
DOI10.1016/j.jhydrol.2017.07.017
文献子类Article
英文摘要The relationship of sheet erosion rate (SE), slope gradient (S) and rainfall intensity (I), and hydraulic parameters, such as flow velocity (V), shear stress (tau), stream power (Omega) and unit stream power (P), was investigated to derive an accurate experimental model. The experiment was conducted at slopes of 12.23%, 17.63%, 26.8%, 36.4%, 40.4% and 46.63% under I of 48, 60, 90, 120, 138 and 150 mm h(-1), respectively, using simulated rainfall. Results showed that sheet erosion rate increased as a power function with rainfall intensity and slope gradient with R-2 = 0.95 and Nash-Sutcliffe model efficiency (NSE) = 0.87. Sheet erosion rate was more sensitive to rainfall intensity than to slope gradient. It increased as a power function with flow velocity, which was satisfactory for predicting sheet erosion rate with R-2 = 0.95 and NSE = 0.81. Shear stress and stream power could be used to predict sheet erosion rate accurately with a linear function equation. Stream power (R-2 = 0.97, NSE = 0.97) was a better predictor of sheet erosion rather than shear stress (R-2 = 0.90, NSE = 0.89). However, a prediction based on unit stream power was poor. The new equation (i.e. SE = 7.5 x 10(12)S(1.43)I(3.04) and SE = 0.06 Omega - 0.0003 and SE = 0.011 tau - 0.01) would improve water erosion estimation on loess hillslopes of China. (C) 2017 Elsevier B.V. All rights reserved.
学科主题Engineering ; Geology ; Water Resources
URL标识查看原文
出版地AMSTERDAM
语种英语
WOS记录号WOS:000412612700043
出版者ELSEVIER SCIENCE BV
资助机构National Natural Science Foundation of China [41471230, 41601282, 41171227]; National Key Research and Development Program of China [2016YFC0402401]; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021403-C2] ; National Natural Science Foundation of China [41471230, 41601282, 41171227]; National Key Research and Development Program of China [2016YFC0402401]; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021403-C2] ; National Natural Science Foundation of China [41471230, 41601282, 41171227]; National Key Research and Development Program of China [2016YFC0402401]; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021403-C2] ; National Natural Science Foundation of China [41471230, 41601282, 41171227]; National Key Research and Development Program of China [2016YFC0402401]; Special-Funds of Scientific Research Programs of State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau [A314021403-C2]
源URL[http://ir.iswc.ac.cn/handle/361005/7910]  
专题水保所科研产出--SCI_2017--SCI
通讯作者Wang, ZL (reprint author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China.
作者单位1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Shaanxi, Peoples R China
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GB/T 7714
Wu, Bing,Wang, Zhanli,Zhang, Qingwei,et al. Modelling sheet erosion on steep slopes in the loess region of China[J]. JOURNAL OF HYDROLOGY,2017,553:549-558.
APA Wu, Bing,Wang, Zhanli,Zhang, Qingwei,Shen, Nan,Liu, June,&Wang, ZL .(2017).Modelling sheet erosion on steep slopes in the loess region of China.JOURNAL OF HYDROLOGY,553,549-558.
MLA Wu, Bing,et al."Modelling sheet erosion on steep slopes in the loess region of China".JOURNAL OF HYDROLOGY 553(2017):549-558.

入库方式: OAI收割

来源:水土保持研究所

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