Skip to main content

An Open Source GIS System for Earthquake Early Warning and Post-Event Emergency Management

  • Conference paper
Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Abstract

The recent advances in geo-informatics have been opening new opportunities in earthquake early warning and emergency management issues. In the last years, the geo-scientific community has recognized the added value of a geo-analytic approach in complex decision making processes for critical situations due to disastrous natural events such as earthquakes. In fact, recently, GIS-based solutions are investigated in several research projects such as SIT_MEW Project, aimed at the development of volcanic and seismic early warning systems (EWSs). In this project context, an innovative open source GIS system has been investigated and developed as integrated component of the seismic EWS. Its architecture consists in a geospatial database system, a local GIS application for analyzing and modelling the seismic event and its impacts and supporting post-event emergency management, a WEB-GIS module for sharing the geo-information among the public and private stakeholders and emergency managers involved in disaster impact assessment and response management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lantada, N., Pujades, L.G., Barbat, A.H.: Vulnerability index and capacity spectrum based methods for urban seismic risk evaluation. Nat. Hazards 51, 501–524 (2009)

    Article  Google Scholar 

  2. Cova, T.J.: GIS in emergency management. In: Longley, P.A., et al. (eds.) Geographical Information Systems, V 2: Management Issues and Applications, pp. 845–858. John Wiley & Sons Inc., New York (1999)

    Google Scholar 

  3. Andrienko, N., Andrienko, G.: Intelligent Visualization and Information Presenattion for Civil Crisis Management. Transaction in GIS 11(6), 889–909 (2007)

    Article  Google Scholar 

  4. Charvat, K., Kubicek, P., Talhofer, V., Konecny, M., Jezek, J.: Spatial Data Infrastructure and geo-visualization in emergency management. In: Resilience of Cities to Terrorist and other Threats, pp. 443–473. Springer Science + Business Media B.V., Heidelberg (2008)

    Chapter  Google Scholar 

  5. ESRI White Paper: Geographic Information Systems Providing the Platform for Comprehensive Emergency Management (2008)

    Google Scholar 

  6. FEMA 2008. HAZUS-MH Estimated Annualized Earthquake Losses for the United States (FEMA 366). Federal Emergency Management Agency, Washington, DC, United States, 66 p (April 2008)

    Google Scholar 

  7. Mueller, M., Dransch, D., Wnuk, M.: Spatial GUIs for Complex Decision Support in Time-critical Situations. In: XXIII International Cartographic Conference, Moscow, Russia, August 4-10 (2007)

    Google Scholar 

  8. Della Rocca, A.B., Fattoruso, G., Locurzio, S., Pasanisi, F., Pica, R., Peloso, A., Pollino, M., Tebano, C., Trocciola, A., De Chiara, D., Tortora, G.: SISI Project: Developing GIS-Based Tools for Vulnerability Assessment. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds.) VISUAL 2008. LNCS, vol. 5188, pp. 327–330. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Theodoridis, Y.: Seismo-Surfer: A Prototype for Collecting, Querying, and Mining Seismic Data. In: Manolopoulos, Y., Evripidou, S., Kakas, A.C. (eds.) PCI 2001. LNCS, vol. 2563, pp. 159–171. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  10. Steiniger, S., Bocher, E.: An overview on current free and open source desktop GIS developments. Int. J. Geogr. Inf. Sci. 23(10), 1345–1370 (2009)

    Article  Google Scholar 

  11. Irpinia Sesimic Networ (ISNet), http://isnet.amracenter.com/

  12. INGV, Italian National Institute of Geophysics and Volcanology, http://www.ingv.it/

  13. Borcherdt, R.D.: Influence of Local Geology in the San Francisco Bay Region, California on Ground Motions Generated by the Loma Prieta Earthquake of October 17, 1989. In: Proceedings of the International Symposium on Safety of Urban Life and Facilities, Tokyo, Japan, November 1-2, pp. 1–35 (1990)

    Google Scholar 

  14. Aki, K.: Local Site Effects on Strong Ground Motion. In: Proceedings of the ASCE Conference on Earthquake Engineering and Soil Dynamics II, Rolla, Missouri, pp. 103–155 (1988)

    Google Scholar 

  15. Kiremidjian, A.S., King, S.A., Sugito, M., Shah, H.C.: Simple Site-Dependent Ground Motion Parameters for the San Francisco Bay Region. In: The John A. Blume earthquake Engineering Center Report No. 97. Department of Civil Engineering, Stanford University. Stanford, California (1991)

    Google Scholar 

  16. Lutz, K.A., Kirernidjian, A.S.: A Generalized Semi-Markov Process for Modelling Spatially and Temporally Dependent Earthquakes. In: The John A. Blume earthquake Engineering Center Report No. 104. Department of Civil Engineering, Stanford University. Stanford, California (1993)

    Google Scholar 

  17. Sabetta, F., Pugliese, A.: Estimation of response Spectra and Simulation of Non-Stationary Earthquake Ground Motion. Bulletin of Seismology Society of America 86(2), 337–352 (1996)

    Google Scholar 

  18. Decanini, L., Gavarini, C., Mollaioli, F.: Proposta di definizione delle relazioni tra intensità macrosismica e parametri del moto del suolo. In: Atti 7 Convegno Nazionale “L’ingegneria sismica in Italia”, Siena, vol. 1, pp. 63–72 (1995)

    Google Scholar 

  19. ISTAT, Italian National Institute of Statistics, http://www.istat.it/

  20. Giovinazzi, S., Lagomarsino, S.: Una metodologia per l’analisi di vulnerabilità sismica del costruito. In: Atti X Congresso nazionale L’ingegneria sismica in Italia, Potenza – Matera (2001)

    Google Scholar 

  21. Borfecchia, F., De Cecco, L., Pollino, M., La Porta, L., Lugari, A., Martini, S., Ristoratore, E., Pascale, C.: Active and passive remote sensing for supporting the evaluation of the urban seismic vulnerability. Italian Journal of Remote Sensing 42(3), 129–141 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pollino, M. et al. (2011). An Open Source GIS System for Earthquake Early Warning and Post-Event Emergency Management. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21887-3_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21887-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21886-6

  • Online ISBN: 978-3-642-21887-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics