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A screening method for bridge scour estimation and flood adaptation planning utilizing HAZUS-MH 2.1 and HEC-18

机译:基于HAZUS-MH 2.1和HEC-18的桥梁冲刷评估和洪水适应计划的筛选方法

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The American Society of Civil Engineers' 2013 Report Card for the Nation's Infrastructure indicated that over 10 % of the roughly 670,000 bridges in the USA are structurally deficient with a $120 billion investment over the next 15 years required for mitigation. In addition, the Intergovernmental Panel on Climate Change indicates that the frequency of severe precipitation events is increasing as well as associated flooding. These factors coupled with scour as a leading cause of bridge degradation demonstrate a need to develop screening methods for assessing and prioritizing bridges most deserving of adaptation measures. This paper proposes a method for utilizing FEMA's HAZUS-MH software along with the United States Department of Transportation's Hydraulic Engineering Circular 18 scour equations to predict the relative scour impact for a bridge to assist in adaptation prioritization. The estimation method develops a scour factor for a bridge using contraction, pier and abutment scour estimates for a base-year and future-year flood event. The scour factor is then used in conjunction with estimated bridge replacement cost to predict monetary damages for a future flood event. The method was validated using repair cost data for eight bridges located in Davidson County (Nashville), Tennessee, from a severe flooding event in May 2010. An extended case study application was also conducted by applying the methodology to a set of flood-prone bridges in the Little Rock, Arkansas area. The results of this research suggest that the proposed methodology may offer municipalities a useful screening tool for prioritizing bridges for adaptation planning.
机译:美国土木工程师学会2013年国家基础设施报告卡显示,在美国大约670,000座桥梁中,有10%以上是结构缺陷,需要在未来15年内投资1,200亿美元进行缓解。此外,政府间气候变化专门委员会指出,严重降水事件的频率以及相关的洪灾正在增加。这些因素加上冲刷是桥梁退化的主要原因,这表明需要开发筛选方法来评估和优先考虑最应采用适应措施的桥梁。本文提出了一种利用FEMA的HAZUS-MH软件以及美国运输部水利工程部第18号通告冲刷方程式来预测桥梁相对冲刷影响的方法,以帮助进行适应性优先排序。估算方法使用基准年和未来年份洪水事件的收缩,桥墩和桥台冲刷估算来开发桥梁冲刷因子。然后将冲刷因子与估算的桥梁更换成本结合使用,以预测未来洪水事件的金钱损失。使用位于田纳西州戴维森县(纳什维尔)的八座桥梁的维修成本数据,从2010年5月的一次严重洪灾事件中验证了该方法。还通过将该方法应用于一组易发生洪水的桥梁,进行了扩展案例研究应用在阿肯色州小石城地区。这项研究的结果表明,所提出的方法可以为市政当局提供有用的筛选工具,以优先考虑适应计划的桥梁。

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