FLOOD DAMAGE ANALYSIS: A BRAZILIAN CASE STUDY

Q3 Social Sciences
A. R. Neto, L. Batista, R. Coutinho
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引用次数: 1

Abstract

Worldwide floods stand out as some of the most recurrent and potentially destructive phenomena. Risk reduction management must consider dynamics involving structural risk elements called indicators. The objective of this paper was to simulate an extreme flood event in the Pirapama river basin, Pernambuco State, Northeastern Brazil, and to analyze some risk components, focusing on the application of damage models in the Brazilian scenario. The hydrological model HEC-HMS (Hydrological Modeling System) was calibrated in order to generate streamflow for ungauged areas. The model was able to identify the highest flood peaks and the statistic criteria were consistent with daily simulation. The parameters calibrated for the HEC-HMS model allowed us to generate results used as input flow in HEC-RAS (River Analysis System). The hydrodynamic model HEC-RAS performed steady flow simulations for the peak flow that occurred in 2010. Remote sensing products with high spatial resolution were used successfully to identify and calculate dwellings surface in the municipality of Cabo de Santo Agostinho. Flood damage estimates were performed through transferred depth-damage curves which is a methodological option verified in the literature. The two main Brazilian studies on this field were selected. The difference between the functions is just over BRL$72 per square meter, and around BRL$85 million for the entire area in the 2010 event (BRL$234.58 and BRL$149.11 million). Those values were adjusted for inflation until 2019. A combination of different methodologies is a way to try to overcome the lack of information, but much remains to be done to validate damage analysis, especially in what concerns to prevention.
洪水灾害分析:巴西案例研究
世界范围内的洪水是最常见和最具破坏性的现象之一。风险降低管理必须考虑涉及称为指标的结构性风险要素的动态。本文以巴西东北部伯南布哥州皮拉帕马河流域为例,模拟了一次极端洪水事件,并分析了其中的风险成分,重点研究了灾害模型在巴西情景中的应用。对水文模型HEC-HMS(水文建模系统)进行了校准,以便生成未测量区域的流量。该模型能够识别出最高洪峰,统计标准与日常模拟结果一致。为HEC-HMS模型校准的参数使我们能够生成结果,作为HEC-RAS(河流分析系统)的输入流量。水动力模型HEC-RAS对2010年的峰值流进行了稳态流模拟。利用高空间分辨率的遥感产品成功地识别和计算了Cabo de Santo Agostinho市的住宅表面。洪水损失估计是通过转移的深度损害曲线进行的,这是一种在文献中得到验证的方法选择。选择了巴西在这一领域的两项主要研究。功能之间的差异仅为每平方米72巴西雷亚尔多一点,而2010年活动中整个区域的差异约为8500万巴西雷亚尔(234.58巴西雷亚尔和1.411亿巴西雷亚尔)。这些价值在2019年之前根据通货膨胀进行了调整。不同方法的结合是克服信息缺乏的一种方法,但要验证损害分析,特别是在涉及预防的方面,仍有许多工作要做。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Urban and Environmental Engineering
Journal of Urban and Environmental Engineering Social Sciences-Urban Studies
CiteScore
0.90
自引率
0.00%
发文量
0
审稿时长
24 weeks
期刊介绍: Journal of Urban and Environmental Engineering (JUEE) provides a forum for original papers and for the exchange of information and views on significant developments in urban and environmental engineering worldwide. The scope of the journal includes: (a) Water Resources and Waste Management [...] (b) Constructions and Environment[...] (c) Urban Design[...] (d) Transportation Engineering[...] The Editors welcome original papers, scientific notes and discussions, in English, in those and related topics. All papers submitted to the Journal are peer reviewed by an international panel of Associate Editors and other experts. Authors are encouraged to suggest potential referees with their submission. Authors will have to confirm that the work, or any part of it, has not been published before and is not presently being considered for publication elsewhere.
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