Multi-decade analysis of flood risks to community infrastructure in Philadelphia

IF 4.5 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Youngjun Son, Ning Sun, Cade Reesman, David Judi, Xue Li
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引用次数: 0

Abstract

Flood events increasingly pose a significant threat to community infrastructure (hereafter CI), which can potentially disrupt their essential functions and services within communities. This is particularly concerning in coastal urban areas, where the complexity of urban flood dynamics is exacerbated by their exposure to coastal, fluvial, and pluvial flooding. To address such challenge, we characterize flood risks to CIs in Philadelphia based on property-level simulations of flood events over a 35-year period (1985–2019) using an integrated coastal-hydrologic-hydrodynamic modeling approach. The characterizations of CI flood risks consider multiple perspectives, including the relative distributions of flood exposures, hazards, risks to various CI types by different flood drivers, assessments of individual and aggregated flood damages, and geospatial patterns of CI flood risks in relation to flood-related variables. Additionally, a scenario analysis examines indirect and cascading disruptions of interconnected infrastructure caused by flood-induced power outages at substations. Our analysis identifies frequent, localized damages associated with fluvial flood events as well as severe, extensive damages from compound coastal-fluvial-pluvial flood events. Notably, commercial and industrial CI facilities are particularly susceptible to floods due to their concentrations across low-lying areas. Furthermore, our study presents an approach that, for the first time, utilizes concentration curves for infrastructure, to enhance flood management planning by prioritizing flood mitigation measures tailored to identified flood risk characteristics. Overall, the CI risk characterizations for past flood events provide a foundational understanding that can inform targeted allocations of limited resources towards risk-based investments in flood management and establish a baseline for future risk assessments.
费城社区基础设施几十年洪水风险分析
洪水事件对社区基础设施(以下简称CI)构成越来越大的威胁,可能会破坏社区内的基本功能和服务。这在沿海城市地区尤其令人担忧,在那里,城市洪水动态的复杂性因其暴露于沿海、河流和雨洪而加剧。为了应对这一挑战,我们使用综合海岸-水文-水动力学建模方法,基于35年(1985-2019)洪水事件的属性级模拟,描述了费城CIs的洪水风险。CI洪水风险的表征考虑了多个角度,包括洪水暴露、灾害、不同洪水驱动因素对各种CI类型的风险的相对分布、个体和总体洪水损害的评估,以及CI洪水风险与洪水相关变量的地理空间格局。此外,情景分析检查了洪水引起的变电站停电对互联基础设施造成的间接和级联破坏。我们的分析确定了与河流洪水事件相关的频繁的局部损害,以及沿海-河流-洪水复合事件造成的严重的广泛损害。值得注意的是,商业和工业CI设施特别容易受到洪水的影响,因为它们集中在低洼地区。此外,我们的研究首次提出了一种方法,该方法利用基础设施的浓度曲线,通过根据确定的洪水风险特征定制洪水缓解措施的优先级来加强洪水管理规划。总体而言,过去洪水事件的CI风险特征提供了一个基本的理解,可以为有针对性地分配有限的资源,用于基于风险的洪水管理投资,并为未来的风险评估建立基线。
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来源期刊
International journal of disaster risk reduction
International journal of disaster risk reduction GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
8.70
自引率
18.00%
发文量
688
审稿时长
79 days
期刊介绍: The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international. Key topics:- -multifaceted disaster and cascading disasters -the development of disaster risk reduction strategies and techniques -discussion and development of effective warning and educational systems for risk management at all levels -disasters associated with climate change -vulnerability analysis and vulnerability trends -emerging risks -resilience against disasters. The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.
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