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Seismic Risk Simulations of a Water Distribution Network in Southern Italy

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

Critical Infrastructure Protection (CIP) is at the heart of the European and International Agenda. Such issue should be handled also with adequate methodologies and tools to carry out effective prevention and protection of the assets (technological, industrial, strategic) from impacts arising from natural disasters that can harm them and reduce the continuity of services delivered. In this general framework, the RAFAEL Project aims at integrating ad hoc technologies into a comprehensive Decision Support System called CIPCast, which has been implemented to support risk analysis and emergency management in the case of natural hazardous events. A specific module is devoted to the earthquake simulation (CIPCast-ES). The Castel San Giorgio water distribution network (located in Campania Region, Southern Italy) was selected to analyse the seismic risk by simulating four earthquake relevant events, occurred in the past in the area of study. Thus, four different scenarios were produced and, for each of them, two types of results were obtained for each pipe element of the water network, expressed respectively in terms of probability of failure and damage status.

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Acknowledgments

The research activities described in the present paper have been carried out in the framework of: i) RAFAEL project, co-funded by Italian Ministry of University and Research, MUR, Grant no. ARS01_00305; ii) Triennial Plan 2019–2021 of the National Research on the Electrical System, funded by the Italian Ministry of Economic Development.

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Correspondence to Maurizio Pollino .

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Pollino, M., Di Pietro, A., La Porta, L., Fattoruso, G., Giovinazzi, S., Longobardi, A. (2021). Seismic Risk Simulations of a Water Distribution Network in Southern Italy. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12951. Springer, Cham. https://doi.org/10.1007/978-3-030-86970-0_45

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  • DOI: https://doi.org/10.1007/978-3-030-86970-0_45

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