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A Geospatial Decision Support Tool for Seismic Risk Management: Florence (Italy) Case Study

  • Luca Matassoni
  • Sonia GiovinazziEmail author
  • Maurizio Pollino
  • Andrea Fiaschi
  • Luigi La Porta
  • Vittorio Rosato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10405)

Abstract

Seismic risk assessment, which attempts to predict earthquake-induced physical impacts on structures and infrastructures, casualties and losses can be a powerful tool to support emergency response planning as well as the development of effective mitigation strategies. The Civil Protection (CP) Department of Florence Municipality commissioned this study as historical earthquakes showed an appreciable seismic risk for the city that needed careful civil protection planning. A Decision Support System DSS (CIPCast-ES) developed by ENEA, APIC Lab, in the framework of the EU-funded project CIPRNet, was used to simulate the seismic and impact scenarios for two major historical earthquakes felt in Florence, to assess the earthquake-induced damage at single building level, and the relative expected consequences on population. The possibility to account for the seismic microzonation (i.e. the possible amplification of the seismic hazard and therefore of the expected impacts due to soil conditions) was also included within DSS. The results of the scenario analysis, presented in the paper in tabular format, were provided to the CP of Florence Municipality as queryable, interactive and end-user friendly web-version maps.

Keywords

Seismic scenario Civil Protection Macroseismic vulnerability Decision Support System 

Notes

Acknowledgement and Disclaimer

This article was derived from the FP7 project CIPRNet, which has received funding from the European Union’s 7th Framework Programme for research, technological development and demonstration under grant agreement no. 312450. The contents of this article do not necessarily reflect the official opinion of the EU. Information and views expressed in the paper are based on personal research experiences, therefore responsibility for that lies entirely with the authors. There are several variables and data uncertainties that might affects and alter the results reported in the paper.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Luca Matassoni
    • 1
  • Sonia Giovinazzi
    • 2
    Email author
  • Maurizio Pollino
    • 3
  • Andrea Fiaschi
    • 1
  • Luigi La Porta
    • 3
  • Vittorio Rosato
    • 3
  1. 1.Fondazione Parsec (Former Prato Ricerche)PratoItaly
  2. 2.University of CanterburyChristchurchNew Zealand
  3. 3.ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development, DTE-SEN-APIC LabCasaccia Research CentreRomeItaly

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