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.
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References
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)
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)
Andrienko, N., Andrienko, G.: Intelligent Visualization and Information Presenattion for Civil Crisis Management. Transaction in GIS 11(6), 889–909 (2007)
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)
ESRI White Paper: Geographic Information Systems Providing the Platform for Comprehensive Emergency Management (2008)
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)
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)
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)
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)
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)
Irpinia Sesimic Networ (ISNet), http://isnet.amracenter.com/
INGV, Italian National Institute of Geophysics and Volcanology, http://www.ingv.it/
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)
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)
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)
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)
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)
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)
ISTAT, Italian National Institute of Statistics, http://www.istat.it/
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)
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)
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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
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DOI: https://doi.org/10.1007/978-3-642-21887-3_30
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