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A modeling framework for evaluating streambank stabilization practices for reach-scale sediment reduction

机译:用于评估河床稳定措施以减少河床规模沉积物的建模框架

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Process-based models can predict stream response to streambank stabilization. However, a framework does not exist on how to explicitly utilize these models to evaluate stabilization measures prior to implementation. This research developed a framework to evaluate stabilization practices using hydraulic and sediment transport models, landowner preferences, construction costs, and effectiveness. This framework produces sediment reduction graphs to determine the stabilization length as well as cost graphs. The methodology was applied to Fivemile Creek in western Oklahoma. A CONCEPTS simulation was developed for a 10.25-km reach and several stabilization techniques (grade control, riprap toe, and vegetation) were simulated. Incorporating multiple stabilization practices simultaneously resulted in higher sediment loads, but also higher costs which were quantifiable using the framework. Vegetation with 2:1 bank slopes was the most cost-effective stabilization technique. With that said, the framework provided a process-based understanding of the system that also highlighted the need for grade control for long-term effectiveness. (c) 2017 Elsevier Ltd. All rights reserved.
机译:基于过程的模型可以预测流对流库稳定的响应。但是,关于如何在实施之前如何明确利用这些模型来评估稳定措施,尚无一个框架。这项研究开发了一个框架,用于使用水力和泥沙输送模型,土地所有者的偏好,建筑成本和有效性来评估稳定措施。该框架产生沉淀物减少图以确定稳定长度以及成本图。该方法已应用于俄克拉荷马州西部的Fivemile Creek。针对10.25公里的距离开发了CONCEPTS模拟,并模拟了几种稳定技术(坡度控制,翻录趾和植被)。同时采用多种稳定措施会导致较高的泥沙负荷,但也会产生较高的成本(可使用框架进行量化)。坡度为2:1的植被是最具成本效益的稳定技术。话虽如此,该框架提供了对系统的基于过程的理解,也强调了为了长期有效而进行等级控制的必要性。 (c)2017 Elsevier Ltd.保留所有权利。

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