首页> 外文期刊>Journal of Geoscience and Environment Protection >A Framework for a Subwatershed-Scale Screening Tool to Support Development of Resiliency Solutions and Flood Protection Priority Areas in a Low-Lying Coastal Community
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A Framework for a Subwatershed-Scale Screening Tool to Support Development of Resiliency Solutions and Flood Protection Priority Areas in a Low-Lying Coastal Community

机译:用于基础级筛选工具的框架,以支持在低洼沿海社区中的弹性解决方案和防洪优先区域的开发

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Flood risk analysis is the instrument for local officials to create a sound strategy and adaptation plans for the impacts of inundation due to heavy rains, climate change and sea level rise. Hence, cities with aging infrastructure are retrofitting their stormwater management systems to mitigate the impacts. However determining the most at risk areas and the options for corrections is more challenging. As a result, there is an urgent need to develop a screening tool to analyze watersheds and identify the most at-risk areas. High-quality, open source data and sophisticated spatial analysis techniques allow engineers to create innovative ways to conduct watershed wide inundation analysis. In th is study, the investigators developed a screening tool to identify at-ri sk properties by combining readily available data on topography, groundwater, surface water, tidal information for coastal communities, soils, open space, and rainfall data. Once the screening tool is developed, the means to identify and prioritize improvements to be funded with scarce capital funds is the next step. A tool box of solutions was developed to address flood risk and vulnerability. Testing of the screening tool was conducted in Browa rd County, Florida and shows encouraging results. Comparison wit h FEMA Flood maps and repetitive loss mapping indicates that the process works in a coastal community. The framework appears to be viable across cities that may be inundated with water due to sea-level rise, rainfall, runoff upstream, and other natural events.
机译:洪水风险分析是当地官员的仪器,为洪水,气候变化和海平面上升,造成洪水影响的健全战略和适应计划。因此,具有老化基础设施的城市正在改造其暴雨管道管理系统以减轻影响。然而,在风险领域确定最大的校正选项更具挑战性。因此,迫切需要开发一种筛选工具来分析流域并识别最大风险区域。高质量,开源数据和复杂的空间分析技术允许工程师创造开展流域广泛淹没分析的创新方法。在研究中,调查人员通过在地形,地下水,地表水,沿海社区,土壤,开放空间和降雨数据上组合了易于获得的数据,通过组合易于获得的数据来识别AT-RI SK属性的筛选工具。一旦开发了筛选工具,识别和优先考虑与稀缺资本基金资助的改进的手段是下一步。开发了一种解决方案的工具箱,以解决洪水风险和脆弱性。筛选工具的测试在佛罗里达州的Browa Rd County进行,并显示了令人鼓舞的结果。比较机智Hema泛滥地图和重复丢失映射表明该过程在沿海社区工作。由于海平面上升,降雨,径流上游和其他自然事件,该框架似乎可行的城市可能被水中被淹没。

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