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Controls of channel morphology and sediment concentration on flow resistance in a large sand-bed river: A case study of the lower Yellow River
Ma, Yuanxu1; Huang, He Qing1
刊名GEOMORPHOLOGY
2016
卷号264页码:132-146
关键词ABSORPTION ANGSTROM EXPONENT SINGLE SCATTERING PROPERTIES RADIATIVE PROPERTIES AEROSOL-PARTICLES T-MATRIX LIGHT-ABSORPTION MIXING STATES COMPLEX SOOT CARBON MODEL
通讯作者Ma, YX (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要Accurate estimation of flow resistance is crucial for flood routing, flow discharge and velocity estimation, and engineering design. Various empirical and semiempirical flow resistance models have been developed during the past century; however, a universal flow resistance model for varying types of rivers has remained difficult to be achieved to date. In this study, hydrometric data sets from six stations in the lower Yellow River during 1958-1959 are used to calibrate three empirical flow resistance models (Eqs. (5)-(7)) and evaluate their predictability. A group of statistical measures have been used to evaluate the goodness of fit of these models, including root mean square error (RMSE), coefficient of determination (CD), the Nash coefficient (NA), mean relative error (MRE), mean symmetry error (MSE), percentage of data with a relative error <= 50% and 25% (P-50, P-25), and percentage of data with overestimated error (POE). Three model selection criterions are also employed to assess the model predictability: Akaike information criterion (NC), Bayesian information criterion (BIC), and a modified model selection criterion (MSC). The results show that mean flow depth (d) and water surface slope (S) can only explain a small proportion of variance in flow resistance. When channel width (w) and suspended sediment concentration (SSC) are involved, the new model (7) achieves a better performance than the previous ones. The MRE of model (7) is generally <20%, which is apparently better than that reported by previous studies. This model is validated using the data sets from the corresponding stations during 1965-1966, and the results showlarger uncertainties than the calibrating model. This probably resulted from the temporal shift of dominant controls caused by channel change resulting from varying flow regime. With the advancements of earth observation techniques, information about channel width, mean flow depth, and suspended sediment concentration can be effectively extracted from multisource satellite images. We expect that the empirical methods developed in this study can be used as an effective surrogate in estimation of flow resistance in the large sand -bed rivers like the lower Yellow River. (C) 2016 Elsevier B.V. All rights reserved.
学科主题Physical Geography; Geology
类目[WOS]Geography, Physical ; Geosciences, Multidisciplinary
收录类别SCI
语种英语
WOS记录号WOS:000377324400011
内容类型期刊论文
源URL[http://ir.radi.ac.cn/handle/183411/39253]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Ma, Yuanxu,Huang, He Qing. Controls of channel morphology and sediment concentration on flow resistance in a large sand-bed river: A case study of the lower Yellow River[J]. GEOMORPHOLOGY,2016,264:132-146.
APA Ma, Yuanxu,&Huang, He Qing.(2016).Controls of channel morphology and sediment concentration on flow resistance in a large sand-bed river: A case study of the lower Yellow River.GEOMORPHOLOGY,264,132-146.
MLA Ma, Yuanxu,et al."Controls of channel morphology and sediment concentration on flow resistance in a large sand-bed river: A case study of the lower Yellow River".GEOMORPHOLOGY 264(2016):132-146.
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