中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modelling sediment transport capacity of rill flow for loess sediments on steep slopes

文献类型:期刊论文

作者Wu, Bing1,2,4; Wang, Zhanli1,2; Shen, Nan1; Wang, Sha3
刊名Catena
出版日期2016-12-01
卷号147页码:453-462
ISSN号0341-8162
关键词Sediment transport capacity Flow discharge Slope gradient Flow velocity Rill flow Loess sediments Steep slope
DOI10.1016/j.catena.2016.07.030
通讯作者Wang, zhanli(zwang@nwsuaf.edu.ca)
英文摘要Sediment transport is an important aspect of soil erosion, and sediment transport capacity (t-c) is a key to establishing process -based erosion models. a lot of studies exist that have determined t-c for overland flow, however, few studies have been conducted to determine t-c for loess sediments on steep slopes. experimental data for this region are thus needed. the objectives of this study are to formulate new equations to describe t-c and evaluate the suitability of these equations for loess sediments on steep slopes. the slope gradients in this study ranged from 10.51% to 38.39%, and flow discharges per unit width varied from 1.11 x 10(-3) m(2) s(-1) to 3.78 x 10(-3) m(2) s(-1). results showed that 11 increased as a power function with flow discharge and slope gradient, with r-2 = 0.99 and nash -sut(c)liffe model efficiency (nse) = 0.99. t, was more sensitive to flow discharge than slope gradient. t-c increased as a power function with mean flow velocity, which was satisfied to predict t-c with r-2 = 0.99 and nse = 0.99. shear stress (r2 = 0.89, nse = 0.88) was also a good predictor of t-c, and stream power (r-2 = 0.96, nse = 0.96) was a better predictor of t-c than shear stress. however, unit stream power was not a good predictor to estimate t-c in our study, with r-2 = 0.63 and nse = 0.62. these findings offer a new approach for predicting t-c for loess sediments on steep slopes. 2016 elsevier b.v. all rights reserved.
WOS关键词SOIL-EROSION MODEL ; OVERLAND-FLOW ; ERODING RILLS ; EQUATION ; PLATEAU ; CHINA ; HYDRAULICS ; SURFACES ; VELOCITY ; EUROSEM
WOS研究方向Geology ; Agriculture ; Water Resources
WOS类目Geosciences, Multidisciplinary ; Soil Science ; Water Resources
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000385598800044
URI标识http://www.irgrid.ac.cn/handle/1471x/2374854
专题中国科学院大学
通讯作者Wang, Zhanli
作者单位1.Chinese Acad Sci, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi Provinc, Peoples R China
2.Minist Water Resources, Yangling, Shaanxi Provinc, Peoples R China
3.Northwest A&F Univ, Coll Resources & Environm, Yangling, Shaanxi Provinc, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wu, Bing,Wang, Zhanli,Shen, Nan,et al. Modelling sediment transport capacity of rill flow for loess sediments on steep slopes[J]. Catena,2016,147:453-462.
APA Wu, Bing,Wang, Zhanli,Shen, Nan,&Wang, Sha.(2016).Modelling sediment transport capacity of rill flow for loess sediments on steep slopes.Catena,147,453-462.
MLA Wu, Bing,et al."Modelling sediment transport capacity of rill flow for loess sediments on steep slopes".Catena 147(2016):453-462.

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来源:中国科学院大学

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