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Multi-hazard Analysis and Mapping of Infrastructure Systems at National Level Using GIS Techniques: Preliminary Results

TitleMulti-hazard Analysis and Mapping of Infrastructure Systems at National Level Using GIS Techniques: Preliminary Results
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2022
AuthorsPollino, Maurizio, Cappucci Sergio, Pesaresi C., Farrace M.G., Morte L.D., and Vegliante G.
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13377 LNCS
Pagination153-168
ISSN03029743
KeywordsArtificial intelligence, Critical infrastructures, Decision support systems, Disasters, Floods, geographic information systems, Geoprocessing, Hazards, Hazards analysis, Hazards mappings, Infrastructure systems, Landslides, Lifeline, Mapping, Multi-hazards, National level, Public works, Railway network, Road network, Seismic landslides, Seismology
Abstract

Preliminary results of the multi-hazard (seismic, landslide, floods) analysis, conducted on some Critical Infrastructures (CI), are presented. Lifelines an CI such as roads, railways, gas and power networks are essential for the Country’s economy, but also to ensure the overcoming of emergencies in those territories in case of natural disasters. ENEA CIPCast platform, an innovative Decision Support System (DSS), has been used for the GIS-based analysis of physical impacts induced by natural hazards on CI. It has been exploited in several projects, including RAFAEL that, by means of analytical and geoprocessing tools, was focus on the extensive assessment and mapping of CI hazard. Geospatial layers, describing and classifying the different hazards in Italy, has allowed to produce a set of specific hazard maps for each CI considered. Multi-hazard values were assigned by using a suitable matrix having four classes. Preliminary results are discussed focusing on the impact on CI exposed to different level of seismic, flood and landslide hazard. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Notes

cited By 0; Conference of 22nd International Conference on Computational Science and Its Applications , ICCSA 2022 ; Conference Date: 4 July 2022 Through 7 July 2022; Conference Code:281299

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85135923660&doi=10.1007%2f978-3-031-10536-4_11&partnerID=40&md5=4e13a8c263f2b6e24bcb41421e08a93c
DOI10.1007/978-3-031-10536-4_11
Citation KeyPollino2022153