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相互依存基础设施系统的连续风险恢复力:以大多伦多地区能源基础设施系统为例

Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System.

作者信息

Kong Jingjing, Simonovic Slobodan P, Zhang Chao

机构信息

Department of Civil and Environmental Engineering, Western University, London, ON, Canada.

Shanghai Key Laboratory of Financial Information Technology, Shanghai University of Finance and Economics, Shanghai, China.

出版信息

Risk Anal. 2019 May;39(5):1141-1168. doi: 10.1111/risa.13222. Epub 2018 Oct 29.

Abstract

Coupled infrastructure systems and complicated multihazards result in a high level of complexity and make it difficult to assess and improve the infrastructure system resilience. With a case study of the Greater Toronto Area energy system (including electric, gas, and oil transmission networks), an approach to analysis of multihazard resilience of an interdependent infrastructure system is presented in the article. Integrating network theory, spatial and numerical analysis methods, the new approach deals with the complicated multihazard relations and complex infrastructure interdependencies as spatiotemporal impacts on infrastructure systems in order to assess the dynamic system resilience. The results confirm that the effects of sequential hazards on resilience of infrastructure (network) are more complicated than the sum of single hazards. The resilience depends on the magnitude of the hazards, their spatiotemporal relationship and dynamic combined impacts, and infrastructure interdependencies. The article presents a comparison between physical and functional resilience of an electric transmission network, and finds functional resilience is always higher than physical resilience. The multiple hazards resilience evaluation approach is applicable to any type of infrastructure and hazard and it can contribute to the improvement of infrastructure planning, design, and maintenance decision making.

摘要

相互关联的基础设施系统和复杂的多重灾害导致了高度的复杂性,使得评估和提高基础设施系统的恢复力变得困难。本文以大多伦多地区能源系统(包括电力、天然气和石油传输网络)为例,提出了一种分析相互依存的基础设施系统多重灾害恢复力的方法。该新方法整合了网络理论、空间和数值分析方法,将复杂的多重灾害关系和复杂的基础设施相互依存关系视为对基础设施系统的时空影响,以评估动态系统恢复力。结果证实,连续灾害对基础设施(网络)恢复力的影响比单一灾害的影响总和更为复杂。恢复力取决于灾害的强度、它们的时空关系和动态综合影响,以及基础设施的相互依存关系。本文对输电网络的物理恢复力和功能恢复力进行了比较,发现功能恢复力总是高于物理恢复力。多重灾害恢复力评估方法适用于任何类型的基础设施和灾害,有助于改进基础设施规划、设计和维护决策。

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