Quantifying climate risks to infrastructure systems: A comparative review of developments across infrastructure sectors

J. Verschuur, Alberto Fernández-Pérez, Evelyn Mühlhofer, S. Nirandjan, E. Borgomeo, Olivia Becher, A. Voskaki, E. Oughton, Andrej Stankovski, S. Greco, E. Koks, R. Pant, Jim W. Hall
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Abstract

Infrastructure systems are particularly vulnerable to climate hazards, such as flooding, wildfires, cyclones and temperature fluctuations. Responding to these threats in a proportionate and targeted way requires quantitative analysis of climate risks, which underpins infrastructure resilience and adaptation strategies. The aim of this paper is to review the recent developments in quantitative climate risk analysis for key infrastructure sectors, including water and wastewater, telecommunications, health and education, transport (seaports, airports, road, rail and inland waterways), and energy (generation, transmission and distribution). We identify several overarching research gaps, which include the (i) limited consideration of multi-hazard and multi-infrastructure interactions within a single modelling framework, (ii) scarcity of studies focusing on certain combinations of climate hazards and infrastructure types, (iii) difficulties in scaling-up climate risk analysis across geographies, (iv) increasing challenge of validating models, (v) untapped potential of further knowledge spillovers across sectors, (vi) need to embed equity considerations into modelling frameworks, and (vii) quantifying a wider set of impact metrics. We argue that a cross-sectoral systems approach enables knowledge sharing and a better integration of infrastructure interdependencies between multiple sectors.
量化基础设施系统的气候风险:基础设施各部门发展情况的比较审查
基础设施系统尤其容易受到洪水、野火、气旋和温度波动等气候灾害的影响。要以适度和有针对性的方式应对这些威胁,就需要对气候风险进行定量分析,这也是基础设施抗灾和适应战略的基础。本文旨在回顾关键基础设施领域气候风险定量分析的最新发展,包括水和废水处理、电信、卫生和教育、交通(海港、机场、公路、铁路和内陆水道)以及能源(发电、输电和配电)。我们发现了几个主要的研究差距,其中包括:(i) 在单一建模框架内对多种灾害和多种基础设施相互作用的考虑有限;(ii) 以气候灾害和基础设施类型的某些组合为重点的研究稀缺;(iii) 在跨地域扩大气候风险分析方面的困难;(iv) 验证模型的挑战日益增加;(v) 进一步跨部门知识溢出的潜力尚未开发;(vi) 需要将公平因素纳入建模框架;以及 (vii) 量化更广泛的影响指标。我们认为,跨部门系统方法有助于知识共享和更好地整合多个部门之间的基础设施相互依存关系。
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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