Ensembles of climate change models for risk assessment of nuclear power plants

Vagnoli, Matteo; Maio, Francesco Di; Zio, Enrico

doi:10.1177/1748006x17734946

Cited by 6 publications

(2 citation statements)

References 46 publications

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“…), for example, by integrating the fragility to natural hazards of such elements with consolidated reliability and risk assessment frameworks (Liu and Song 2020;W. Zhang and Wang 2016;Di Maio, Tonicello, and Zio 2022;Vagnoli, Di Maio and Zio 2018;Sahlin, et al 2015). Some other studies have, instead, focused on mapping the hazards and infrastructure assets for vulnerability, risk, and resilience assessment of the infrastructure.…”

Section: Introductionmentioning

confidence: 99%

A Methodological Framework for the Resilience Analysis of Road Transport Networks Exposed to Freezing Rain

Ashrafi,

Naseri,

Maio

et al. 2022

Book of Extended Abstracts for the 32nd European Safety and Reliability Conference

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Road transport network is one of the major critical infrastructures to be maintained resilient, since its disruption would not only have direct economic consequences, but it could also lead to domino effects on other critical infrastructures. This study proposes a methodological framework for the analysis of the resilience of road transport networks exposed to natural hazards, in particular to freezing rain, that is a precipitation event wherein the supercooled droplets of rain freeze upon contact with any surface, creating a glaze of ice and contributing, in particular, to icy roads conditions. A numerical example is presented that considers a road transportation network exposed to freezing rain, whose probability of occurrence is estimated using historical meteorological conditions; the network disruption and recovery are evaluated for the resilience analysis of the selected road transport infrastructure.

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Section: Introductionmentioning

confidence: 99%

A Methodological Framework for the Resilience Analysis of Road Transport Networks Exposed to Freezing Rain

Ashrafi,

Naseri,

Maio

et al. 2022

Book of Extended Abstracts for the 32nd European Safety and Reliability Conference

View full text Add to dashboard Cite

show abstract

“…Then, the climate conditions (e.g. air temperature and pressure) of the NPP geographical location influence the system performance (Sahlin et al, 2015;Vagnoli et al, 2017;Yu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%