Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China
文献类型：期刊论文
| 作者 | Zhang, Shiyan1,2; Chen, Dong1,3 ; Li, Fuxing4; He, Li1; Yan, Ming1; Yan, Yunxia1
|
| 刊名 | HYDROLOGICAL PROCESSES
 |
| 出版日期 | 2018-05-30 |
| 卷号 | 32期号:11页码:1616-1624 |
| 关键词 | Loess Plateau saturated flow sediment rating curve sediment transport soft sandstone |
| ISSN号 | 0885-6087 |
| DOI | 10.1002/hyp.11514 |
| 通讯作者 | Chen, Dong(dchen@igsnrr.ac.cn) |
| 英文摘要 | The suspended sediment load in the middle Yellow River basin (YRB) cannot be well predicted by capacity-based transport formulas because a large fraction of suspended sediment load is composed of wash load. This study evaluated the spatial variations of sediment rating curves (SRCs) in the middle YRB. Both power and linear SRCs were used to fit daily flow and suspended sediment concentration (SSC) historical data at 49 gauging stations throughout the middle YRB. The spatial variation in regression coefficients was investigated, and the relationship between regression coefficients and the physical characteristics of watersheds was discussed. The results indicate that SRC regression coefficients vary with drainage area and basin slope, but their responses to these parameters are remarkably different in watersheds with different underlying surfaces, which indicates the significance of sediment availability, erodibility, and grain size distribution. For power SRCs representing sediment transport in unsaturated flows, the regression coefficients are more closely correlated with the drainage area in loess regions and with the basin slope in rock mountain regions. For linear SRCs representing sediment transport in saturated flows, saturated SSCs vary with coarse (particle size>0.05mm) and fine (particle size<0.01mm) fractions in suspended sediment. The maximum saturated SSC among the different gauging stations is associated with the optimal grain size composition of suspended sediment, which has been proposed for loess regions in previous studies. This study provides theoretical support for estimating the regression parameters for sediment transport modelling, especially in ungauged basins. |
| WOS关键词 | LOESS PLATEAU ; YIELD ; TRANSPORT ; REACHES ; PARAMETERS ; CATCHMENTS ; STREAMFLOW ; DYNAMICS ; AREAS ; WATER |
| 资助项目 | National Key R&D Program of China[2016YFC0402406] ; National Natural Science Foundation of China[51579230] ; National Natural Science Foundation of China[51779242] ; National Natural Science Foundation of China[51509234] ; National Natural Science Foundation of China[41330751] ; Hundred Talents Program of Chinese Academy of Sciences |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000434115300008 |
| 出版者 | WILEY |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Hundred Talents Program of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54838]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Dong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul, Nanjing 210098, Jiangsu, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Hebei Normal Univ, Coll Resources & Environm Sci, Key Lab Environm Evolvement & Ecol Construct Hebe, Shijiazhuang 050024, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Shiyan,Chen, Dong,Li, Fuxing,et al. Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China[J]. HYDROLOGICAL PROCESSES,2018,32(11):1616-1624. |
| APA | Zhang, Shiyan,Chen, Dong,Li, Fuxing,He, Li,Yan, Ming,&Yan, Yunxia.(2018).Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China.HYDROLOGICAL PROCESSES,32(11),1616-1624. |
| MLA | Zhang, Shiyan,et al."Evaluating spatial variation of suspended sediment rating curves in the middle Yellow River basin, China".HYDROLOGICAL PROCESSES 32.11(2018):1616-1624. |
入库方式： OAI收割
来源：地理科学与资源研究所
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