Here, we provide a numerical model that assigns an identification number to trace sediments and also identify the source of sediment supply. We analyze the efficacy of our model by reproducing the reach-scale field observations from flooding events in 2010 and 2016 that affected Kyusen Bridge over the Bebetsu River, Hokkaido, Japan. Our simulation results can successfully reproduce and trace the formation of bars caused by sediment supply in the study region. Our study also suggests a strong relationship between bank erosion rate, sediment supply and flow-discharge. The bank erosion rate is higher when sediment supply increases, and bank erosion reduces as flow discharge goes down. The model can also replicate the changes in a bed concerning sediment supply and was used to reproduce the bridge-abutment failure caused by the 2016 flooding with large sediment supply and the bridge-pier failure caused by the 2010 flooding with less sediment supply.

中文翻译：

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为大规模渠道迁移的桥梁倒塌提供泥沙跟踪

在这里，我们提供了一个数值模型，该模型为跟踪沉积物分配一个识别号，并确定沉积物供应的来源。我们通过再现 2010 年和 2016 年影响日本北海道别别川九仙桥的洪水事件的范围尺度实地观测来分析我们模型的有效性。我们的模拟结果可以成功地再现和追踪研究区域沉积物供应引起的坝体的形成。我们的研究还表明，河岸侵蚀率、沉积物供应和流量-排放之间存在密切关系。泥沙供给量增加时河岸侵蚀率较高，流量减少时河岸侵蚀减少。