Department of Civil and Environmental Engineering, University of Florence, Via di S. Marta 3, 50139 Firenze, Italy.
CIMA Research Foundation, University Campus, Italy.
J Environ Manage. 2018 Feb 1;207:92-104. doi: 10.1016/j.jenvman.2017.11.017. Epub 2017 Nov 16.
Flood risk mitigation usually requires a significant investment of public resources and cost-effectiveness should be ensured. The assessment of the benefits of hydraulic works requires the quantification of (i) flood risk in absence of measures, (ii) risk in presence of mitigation works, (iii) investments to achieve acceptable residual risk. In this work a building-scale is adopted to estimate direct tangible flood losses to several building classes (e.g. residential, industrial, commercial, etc.) and respective contents, exploiting various sources of public open data in a GIS environment. The impact simulations for assigned flood hazard scenarios are computed through the RASOR platform which allows for an extensive characterization of the properties and their vulnerability through libraries of stage-damage curves. Recovery and replacement costs are estimated based on insurance data, market values and socio-economic proxies. The methodology is applied to the case study of Florence (Italy) where a system of retention basins upstream of the city is under construction to reduce flood risk. Current flood risk in the study area (70 km) is about 170 Mio euros per year without accounting for people, infrastructures, cultural heritage and vehicles at risk. The monetary investment in the retention basins is paid off in about 5 years. However, the results show that although hydraulic works are cost-effective, a significant residual risk has to be managed and the achievement of the desired level of acceptable risk would require about 1 billion euros of investments.
减轻洪灾风险通常需要大量公共资源的投入,因此应确保成本效益。水力工程效益的评估需要量化(i)无措施时的洪灾风险,(ii)减轻措施存在时的风险,(iii)实现可接受剩余风险的投资。在这项工作中,采用了建筑物规模来估算几类建筑物(例如住宅、工业、商业等)及其各自内容的直接有形洪水损失,利用 GIS 环境中的各种公共开放数据源。通过 RASOR 平台计算指定洪水危险情景的影响模拟,该平台允许通过阶段损害曲线库对属性及其脆弱性进行广泛的特征描述。基于保险数据、市场价值和社会经济指标来估算恢复和更换成本。该方法应用于佛罗伦萨(意大利)的案例研究,该市上游正在建设一系列蓄洪池以降低洪灾风险。研究区域(70 平方公里)目前的洪水风险约为每年 1.7 亿欧元,不包括风险人群、基础设施、文化遗产和车辆。蓄洪池的货币投资在大约 5 年内收回。然而,结果表明,尽管水力工程具有成本效益,但仍需要管理重大剩余风险,并且要实现期望的可接受风险水平,还需要大约 10 亿欧元的投资。