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佛罗里达州风暴潮风险定价:对确定洪水保险费率和评估缓解措施的影响。

Pricing Storm Surge Risks in Florida: Implications for Determining Flood Insurance Premiums and Evaluating Mitigation Measures.

机构信息

Wharton Risk Management and Decision Processes Center, University of Pennsylvania, Philadelphia, PA, USA.

Risk Management and Decision Processes Center, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Risk Anal. 2018 Nov;38(11):2275-2299. doi: 10.1111/risa.13127. Epub 2018 Jun 26.

Abstract

The National Flood Insurance Program (NFIP) has been criticized for inaccurate flood hazard maps and premiums that are not risk based. We employ granular storm surge data comprised of five different event probabilities with associated flood elevations to calculate surge risk-based premiums for homes in Pensacola, Florida, which we compare with NFIP premiums that are based on flood risk data with only one event probability (1% annual chance floods). We demonstrate how more granular flood risk data used for calculating risk-based insurance premiums should be part of the NFIP mapping and rate-setting processes. We then examine three different sea-level rise (SLR) scenarios specific to Pensacola from the National Oceanic and Atmospheric Administration (NOAA), and assess surge risk-based premiums out to 2100. We analyze the cost effectiveness of elevating homes to mitigate surge risks when costs of elevation are one lump upfront sum, and when costs are spread over 30 years via low-interest mitigation loans. Benefits are the avoided future losses from surge risks going out to 2100 with the three different SLR scenarios. Findings show that it is cost effective to elevate high-value homes with low first-floor elevations in the most risky surge zones. Spreading costs of elevation with 30-year loans should be directed at low-income households to address affordability concerns. Alternative flood mitigation actions, such as wet floodproofing and elevating electrical and plumbing utilities, should be considered in instances where elevation is not cost effective.

摘要

国家洪水保险计划(NFIP)因其不准确的洪水危险图和非风险定价的保费而受到批评。我们使用由五个不同事件概率和相关洪水高程组成的颗粒状风暴潮数据,来计算佛罗里达州彭萨科拉市的风暴潮风险保费,与仅基于一个事件概率(1%年洪水)的洪水风险数据的 NFIP 保费进行比较。我们展示了用于计算风险保费的更精细的洪水风险数据如何应成为 NFIP 测绘和费率制定过程的一部分。然后,我们研究了美国国家海洋和大气管理局(NOAA)针对彭萨科拉的三种不同海平面上升(SLR)情景,并评估了到 2100 年的风暴潮风险保费。我们分析了通过提高房屋来减轻风暴潮风险的成本效益,当提高房屋的成本是一次性支付的一大笔钱时,以及当成本通过 30 年的低息缓解贷款来分期支付时。好处是通过三种不同的 SLR 情景,避免到 2100 年的风暴潮风险的未来损失。研究结果表明,在最危险的风暴潮区,抬高低一楼层高程的高价值房屋是具有成本效益的。通过 30 年贷款分期支付提高房屋的成本应针对低收入家庭,以解决负担能力问题。在抬高房屋不具有成本效益的情况下,应考虑替代洪水缓解措施,例如湿防洪和抬高电气和管道设施。

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