Bayesian Network Approach for Risk Assessment of a Spent Nuclear Fuel Pond

verfasst von

Silvia Tolo, Edoardo Patelli, Michael Beer

Abstract

The potentiality of natural hazards to trigger simultaneous failures, leading to technological disasters (i.e. also referred as Natech events), requires tools and methods able to realistically simulate events and interactions between natural phenomena and simultaneous technological failures. The task of the present paper is to highlight the advantages and potentialities of Bayesian Networks (BNs) as a risk assessment tool for simultaneous failures triggered by extreme natural events. For this purpose, a simplified BN model for the risk assessment of a spent nuclear fuel pond of facilities subject to extreme weather conditions is provided. The network is then applied to a real-case study integrating different data-set and models available in literature to show the extreme flexibility of this approach and its ability to integrate climate change projections to evaluate future risks.

Externe Organisation(en)

The University of Liverpool

Typ

Aufsatz in Konferenzband

Seiten

598-607

Anzahl der Seiten

10

Publikationsdatum

2014

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Sicherheit, Risiko, Zuverlässigkeit und Qualität

Ziele für nachhaltige Entwicklung

SDG 13 – Klimaschutzmaßnahmen

Elektronische Version(en)

https://doi.org/10.1061/9780784413609.061 (Zugang: Geschlossen)