An Instrument With Constant Volume Approach for In Situ Measurement of Surface Runoff and Suspended Sediment Concentration
文献类型:期刊论文
作者 | Zhan, Xiaoyun1,2; Zhao, Jun1,2; Zhu-Barker, Xia3; Shui, Junfeng2; Liu, Baoyuan1,4; Guo, Minghang1,2 |
刊名 | WATER RESOURCES RESEARCH
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出版日期 | 2021-02-01 |
卷号 | 57期号:2页码:10 |
关键词 | automated instrument constant volume in situ measurement runoff sediment concentration sediment transport |
ISSN号 | 0043-1397 |
DOI | 10.1029/2020WR028210 |
通讯作者 | Guo, Minghang(mhguo@ms.iswc.ac.cn) |
英文摘要 | There is an increasing demand for reliable methods to measure soil loss in order to get a better understanding of sediment movement and to develop process-based sediment transport models. This study described the design, calibration, and practical application of an instrumented technique that automatically characterized surface flow in situ fields. The instrument consisted of a sampling assembly, a measuring assembly, and a management platform. The special design combined with a volume-mass conversion relationship was used to determine the exact volume and mass of the sediment-laden water, thereby allowing the implementation of real-time measurement and synchronous calculation of runoff rate and sediment concentration. Calibration results showed that normal distributions and an average error of -3.67% were obtained for the target sediment concentrations of 2-1,000 g/L. Compared with the gravimetric method, the average error of the new technique for sediment concentration was 4.82%, and the highest precision was 98.50%. The high repeatability and accuracy of the technique suggest that it can be used with confidence to give satisfactory results in fields. A field experiment under natural rainfall showed that a grass-covered plot had 18.94% less runoff rate and 42.92% lower sediment concentration than a bare soil plot, illustrating the impact of vegetation cover on reducing soil loss. This uniquely designed instrument provides a new approach to real-time sediment detection in surface flow. It will be beneficial for rigorously evaluating runoff and sedimentation and for in-depth research regarding water and soil loss processes. |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences (Pan-Third Pole Environment Study for a Green Silk Road)[XDA20040202] ; National Key R&D Program of China[2017YFA0604803] ; Innovation Project of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau[A314021403-C3] |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000624603200038 |
出版者 | AMER GEOPHYSICAL UNION |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences (Pan-Third Pole Environment Study for a Green Silk Road) ; National Key R&D Program of China ; Innovation Project of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/160449] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Guo, Minghang |
作者单位 | 1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China 2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China 3.Univ Calif Davis, Dept Land Air & Water Resources, Biogeochem & Nutrient Cycling Lab, Davis, CA USA 4.Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhan, Xiaoyun,Zhao, Jun,Zhu-Barker, Xia,et al. An Instrument With Constant Volume Approach for In Situ Measurement of Surface Runoff and Suspended Sediment Concentration[J]. WATER RESOURCES RESEARCH,2021,57(2):10. |
APA | Zhan, Xiaoyun,Zhao, Jun,Zhu-Barker, Xia,Shui, Junfeng,Liu, Baoyuan,&Guo, Minghang.(2021).An Instrument With Constant Volume Approach for In Situ Measurement of Surface Runoff and Suspended Sediment Concentration.WATER RESOURCES RESEARCH,57(2),10. |
MLA | Zhan, Xiaoyun,et al."An Instrument With Constant Volume Approach for In Situ Measurement of Surface Runoff and Suspended Sediment Concentration".WATER RESOURCES RESEARCH 57.2(2021):10. |
入库方式: OAI收割
来源:地理科学与资源研究所
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