An improved method for sand wave morphology discrimination in rivers by combining a flow resistance law and support vector machines  

作　　者：Yuchuan Bai Yanjie Sun Xiaolong Song Haijue Xu 

机构地区：[1]State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation,Tianjin University,Tianjin 300350,China [2]Institute for Sedimentation on River and Coastal Engineering.Tianjin University,Tianjin 300350,China

出　　处：《International Journal of Sediment Research》2024年第1期144-152,共9页国际泥沙研究（英文版）

基　　金：the National Natural Science Foundation of China(Grant No.51979185);the Science and Technology Planning Program of Tianjin,China(Grant No.21JCQNJC00480).

摘　　要：A parameterized expression for sand wave morphology in rivers is established using a flow resistance law while accounting for sediment incipient velocity.A distinct relation is drawn between the proposed characteristic parameters and the sand wave morphology based on flume data.Support vector machines(SvMs)are then used to separate the boundaries of the sand wave morphology due to the high classification accuracy of svMs.The boundary line data from each sand wave morphology is extracted and fitted to establish a discriminant standard,which is then successfully validated using experimental and quantifiable data.Also,based on the foregoing methodoly,it is further discovered that the short-term significant fluctuation of sand wave morphology is closely correlated with significant channel changes in rivers with a high width-depth ratio,using Yellow River Estuary as an example.

关 键 词：Sand wave morphology discrimination Flow resistance law Sediment incipient velocity Support vector machines Yellow River Estuary 

分 类 号：P931.1[天文地球—自然地理学] TV14[水利工程—水力学及河流动力学]