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A Physically Based Model of Deposition, Re-Entrainment, and Transport of Fine Sediment in Gravel-Bed Rivers
Water Resources Research ( IF 4.6 ) Pub Date : 2022-08-08 , DOI: 10.1029/2021wr031782
Arman Haddadchi 1 , Calvin W. Rose 2
Affiliation  

Interpreting the links between transient in-channel fine sediment storage and the dynamics of suspended sediment transport during flood events helps the understanding of river geomorphology, and also the impacts of fine sediment on water quality and bed habitats of rivers and downstream receiving environments. We present a unique physically based model of suspended sediment transport which is intimately coupled with fine sediment deposition and re-entrainment processes within the gravel bed. This multi-size fraction theory provides unique information about the effect of fine sediment size classes due to their dynamics and associated river bed changes in net deposition. The data from a series of flood events from the Oreti River, located in Southland, New Zealand were used to test the ability of this theory to provide a description of the dynamics of the fine sediment size distribution, their concentration, load, and rate of river bed deposition and re-entrainment. After calibration of the model using the data from one flood event, the model provides good agreement between observed and modeled fine sediment concentration and event load for seven subsequent test events. One of the main applications of this theory in future is for routing suspended sediment concentration and changes on fine sediment deposition down a river network.

中文翻译:

基于物理的砾石河细沉积物沉积、再夹带和输送模型

解释洪水事件期间瞬态河道内细泥沙储存与悬浮泥沙迁移动力学之间的联系有助于了解河流地貌,以及细泥沙对河流水质和河床生境以及下游接收环境的影响。我们提出了一种独特的基于物理的悬浮泥沙运输模型,该模型与砾石床内的细泥沙沉积和再夹带过程密切相关。这种多尺寸分数理论提供了有关细沉积物尺寸等级的独特信息,因为它们的动态和相关的净沉积河床变化。来自位于南地的奥雷蒂河的一系列洪水事件的数据,新西兰被用来测试该理论的能力,以提供对细泥沙粒度分布、它们的浓度、负荷以及河床沉积和再夹带速率的动态描述。在使用来自一次洪水事件的数据对模型进行校准后,该模型在观测到的和模拟的细泥沙浓度与七个后续测试事件的事件负荷之间提供了良好的一致性。该理论未来的主要应用之一是用于确定河网中悬浮泥沙浓度和细泥沙沉积变化的路线。该模型在观察到的和模拟的细泥沙浓度和七个后续测试事件的事件负荷之间提供了良好的一致性。该理论未来的主要应用之一是用于确定河网中悬浮泥沙浓度和细泥沙沉积变化的路线。该模型在观察到的和模拟的细泥沙浓度和七个后续测试事件的事件负荷之间提供了良好的一致性。该理论未来的主要应用之一是用于确定河网中悬浮泥沙浓度和细泥沙沉积变化的路线。
更新日期:2022-08-08
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