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Sediment delivery ratio and its uncertainties on flood event scale:Quantification for the Lower Yellow River

Sediment delivery ratio and its uncertainties on flood event scale:Quantification for the Lower Yellow River

作     者:FU XuDong 1,JIANG LiWei 1,WU BaoSheng 1,HU ChunHong 2,WANG GuangQian 1 &FEI XiangJun 1 1State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China 2China Institute of Hydropower and Water Resources Research,Beijing 100044,China 

作者机构:1. State Key Laboratory of Hydroscience and Engineering Tsinghua University Beijing 100084 China2. China Institute of Hydropower and Water Resources Research Beijing 100044 China 

出 版 物:《Science China(Technological Sciences)》 (中国科学(技术科学英文版))

年 卷 期:2010年第53卷第3期

页      面:854-862页

核心收录:

学科分类:08[工学] 081502[工学-水力学及河流动力学] 0815[工学-水利工程] 

基  金:supported by the Ministry of Science and Technology (Grant No.2006BAB06B04) the National Natural Science Foundation of China(Grant No.50725930) 

主  题:sediment delivery ratio Lower Yellow River flood event uncertainty prediction interval 

摘      要:Sediment delivery ratio(SDR)for fluvial rivers was formulated with sediment rating *** observed data of SDR on flood event scale of the Lower Yellow River(LYR)were adopted to examine the formulation and to calibrate the model parameters.A regression formula of SDR was then established and its 95%prediction interval was accordingly quantified to represent its overall *** types of factors including diversity of the incoming flow conditions,river self-regulation processes,and human activities were ascribed to the *** following were shown:(1)With the incoming sediment coefficient(ISC)being a variable,it was not necessary to adopt the incoming flow discharge as the second variable in the formulation of SDR;and(2)ISC=0.003 and therefore SDR=2 might be a threshold for distinguishing the characteristics of sediment transport within the *** findings would highlight sediment transport characteristics on the scale of flood event and contribute to uncertainty based analysis of water volume required for sediment transport and channel maintenance of the LYR.

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