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International Conference on Computational Science and Its Applications

ICCSA 2016: Computational Science and Its Applications -- ICCSA 2016 pp 198–213Cite as

A Seismic Risk Model for Italy

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

Abstract

All Italian territory, with the only exception of the island of Sardinia, is subject to seismic events, making this threat a major concern for decision makers in charge for the implementation of risk reduction policies. Seismic risk vary greatly across the country and within single administrative regions. Seismic risk maps at national scale are therefore a useful tool for representing the expected adverse outcomes due to the seismic events and for programming the appropriate mitigation measures. The production of those maps is a complex task that involves the combination of data coming from different field of expertise. The aim of the study is to show how the already available information can be combined together in a Geographical Information System (GIS) tool. The results provide a reliable representation of the seismic risk at national scale to be used when planning the mitigation measures to be undertaken in order to improve the level of preparedness in case of an earthquake.

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Author information

Authors and Affiliations

  1. University of Cassino and Southern Lazio, Cassino, Italy

    Alessandro Rasulo

  2. Graduate Student at University of Cassino and Southern Lazio, Casino, Italy

    Maria Antonietta Fortuna

  3. European Centre for Training and Research in Earthquake Engineering, Pavia, Italy

    Barbara Borzi

Authors
  1. Alessandro Rasulo
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  2. Maria Antonietta Fortuna
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  3. Barbara Borzi
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Corresponding author

Correspondence to Alessandro Rasulo .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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© 2016 Springer International Publishing Switzerland

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Rasulo, A., Fortuna, M.A., Borzi, B. (2016). A Seismic Risk Model for Italy. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42110-0

  • Online ISBN: 978-3-319-42111-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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