Hurricane Maria, a category 4 tropical cyclone, hit the US non-incorporated territory of Puerto Rico on September 20, 2017. Widespread physical and natural infrastructure damage was observed, especially in already vulnerable coastal communities. As public sector funding availability for natural infrastructure (ex. coastal ecosystems) increases, mechanisms for its efficient and equitable allocation are lacking. An accessible and replicable coastal vulnerability indicator framework is presented to assist state and federal policy makers in the allocation of funding for coastal natural infrastructure recovery. To assess funding priorization gaps and test the applicability of the proposed framework, spatial patterns in the estimated funding need identified in state-led post-Hurricane Maria assessments for natural infrastructure rehabilitation efforts were compared to physical and social coastal vulnerability estimations. Three main challenges that emerge during the implementation of a vulnerability indicator framework were considered for its design: (1) the compressed time frame in which decisions are made after an extreme weather event, (2) the availability of data to calculate indicators in a reduced time frame, and (3) the accessibility of results to a broad variety of stakeholders. We propose a vulnerability indicator framework that can become operational in a relatively short period of time, attempts to simplify data gathering efforts, and uses methods that aim to be more transparent and understandable to a broad group of stakeholders.

译文

:2017年9月20日,飓风“玛丽亚”(M飓风)袭击了美国非合并的波多黎各地区,属第4类热带气旋。人们观察到广泛的物理和自然基础设施破坏,尤其是在本来就很脆弱的沿海社区。随着公共部门对自然基础设施(例如沿海生态系统)的资金可用性的增加,缺乏对其进行有效和公平分配的机制。提出了一个可访问且可复制的沿海脆弱性指标框架,以帮助州和联邦决策者分配用于沿海自然基础设施恢复的资金。为了评估资金优先次序的差距并测试提议框架的适用性,将国家主导的飓风后玛丽亚评估中自然基础设施修复工作中确定的资金需求估算中的空间模式与自然和社会沿海脆弱性估算进行了比较。在设计脆弱性指标框架期间,考虑了三个主要挑战:(1)压缩的时间范围,在极端天气事件后做出决策;(2)数据的可用性以减少的方式计算指标时间范围;以及(3)各种利益相关者都能获得结果。我们提出了一个漏洞指示器框架,该框架可以在相对较短的时间内投入使用,试图简化数据收集工作,并使用旨在使广大利益相关者群体更加透明和易于理解的方法。

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