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首页> 外文期刊>International journal of disaster resilience in the built environment >Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation
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Vulnerability assessment and interdependency analysis of critical infrastructures for climate adaptation and flood mitigation

机译:气候适应和减灾关键基础设施的脆弱性评估和相互依赖性分析

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Purpose - The purpose of this paper is to present a novel approach that examines the vulnerability and interdependency of critical infrastructures using the network theory in geographic information system (GIS) setting in combination with literature and government reports. Specifically, the objectives of this study were to generate the network models of critical infrastructure systems (CISs), particularly electricity, roads and sewerage networks; to characterize the CISs' interdependencies; and to outline the climate adaptation (CA) and flood mitigation measures of CIS. Desigrt/methodology/approach - An integrated approach was undertaken in assessing the vulnerability and interdependency of critical infrastructures. A single system model and system-of-systems model were operationalized to examine the vulnerability and interdependency of the identified critical infrastructures in GIS environment. Existing CA and flood mitigation measures from government reports were integrated in the above-mentioned findings to better understand and gain focus in the implementation of natural disaster risk reduction (DRR) policies, particularly during the 2010/2011 floods in Queensland, Australia. Findings - Using the results from the above-mentioned approach, the spatially explicit framework was developed with four key operational dimensions: conceiving the climate risk environment; understanding the critical infrastructures' common cause and cascade failures; modeling individual infrastructure system and system-of-systems level within GIS setting; and integrating the above-mentioned results with the government reports to increase CA and resilience measures of flood-affected critical infrastructures. Research limitations/implications - While natural DRR measures include preparation, response and recovery, this study focused on flood mitigation. Temporal analysis and application to other natural disasters were also not considered in the analysis. Practical implications - By providing this information, government-owned corporations, CISs managers and other concerned stakeholders will allow to identify infrastructure assets that are highly critical, identify vulnerable infrastructures within areas of very high flood risk, examine the interdependency of critical infrastructures and the effects of cascaded failures, identify ways of reducing flood risk and extreme climate events and prioritize DRR measures and CA strategies. Originality/value - The individualist or "pigeon-hole" approach has been the common method of analyzing infrastructures' exposure to flood hazards and tends to separately examine the risk for different types of infrastructure (e.g. electricity, water, sewerage, roads and rails and stormwater). This study introduced an integrated approach of analyzing infrastructure risk to damage and cascade failure due to flooding. Aside from introducing the integrated approach, this study operationalized GIS-based vulnerability assessment and interdependency of critical infrastructures which had been unsubstantially considered in the past analytical frameworks. The authors considered this study of high significance, considering that floodplain planning schemes often lack the consideration of critical infrastructure interdependency.
机译:目的-本文的目的是提出一种新颖的方法,使用地理信息系统(GIS)中的网络理论并结合文献和政府报告来检查关键基础设施的脆弱性和相互依赖性。具体而言,本研究的目的是生成关键基础设施系统(CIS)的网络模型,特别是电力,道路和污水处理网络;描绘独联体的相互依存关系;并概述独联体的气候适应(CA)和防洪措施。设计/方法/方法-在评估关键基础设施的脆弱性和相互依赖性方面采取了一种综合方法。运行了单个系统模型和系统间模型,以检查GIS环境中已确定的关键基础架构的脆弱性和相互依赖性。上述发现中整合了政府报告中现有的CA和减灾措施,以更好地理解和减少实施自然灾害风险降低(DRR)政策的重点,尤其是在澳大利亚昆士兰州2010/2011洪水期间。调查结果-利用上述方法得出的结果,开发了空间明确的框架,该框架具有四个关键的操作方面:构想气候风险环境;了解关键基础架构的常见原因和级联故障;在GIS环境中对单个基础架构系统和系统级进行建模;并将上述结果与政府报告结合起来,以提高受洪水影响的关键基础设施的CA和复原力措施。研究的局限性/意义-虽然自然DRR措施包括准备,响应和恢复,但本研究的重点是减轻洪水。分析中也未考虑时间分析和将其应用于其他自然灾害。实际的意义-通过提供此信息,政府所有的公司,CIS经理和其他有关利益相关者将可以确定高度关键的基础设施资产,确定洪水风险很高的地区中脆弱的基础设施,检查关键基础设施的相互依存性及其影响评估级联故障,确定降低洪水风险和极端气候事件的方法,并优先考虑DRR措施和CA策略。独创性/价值-个人主义或“鸽子洞”方法一直是分析基础设施遭受洪灾危害的常用方法,并且倾向于单独检查不同类型基础设施(例如,电力,水,污水,道路和铁路的风险)的风险。雨水)。这项研究引入了一种综合方法来分析基础架构因洪水而遭受破坏和级联故障的风险。除了引入集成方法之外,该研究还对基于GIS的脆弱性评估和关键基础架构的相互依赖性进行了操作,而这些功能在过去的分析框架中并未得到实质性的考虑。考虑到洪泛区规划方案通常缺乏关键基础设施相互依赖性的考虑,作者认为这项研究具有重要意义。

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