GNGTS 2017 - 36° Convegno Nazionale

252 GNGTS 2017 S essione 2.1 extensive in situ investigation. This suggests that a balanced spatial sampling of the buildings to be inspected may allow for a consistent estimate. By using an informative prior (Fig. 3) on average a good performance is obtained, with 14 values out of 21 within ± half intensity degree with respect to the official reference. Among the considered locations only ‘Cornelle di Sotto’ and ‘Colli’ show a significant discrepancy between estimated and assigned intensity. Since only intensities greater than VI are associated with physical damage to structures, lower intensity values cannot be reliably estimated. The integration of complementary data such as, for instance, on-line forms on the felt earthquakes, could contribute to fill in information on the lower intensity levels. The following concluding remarks about the proposed approach can be done: • a consistent probabilistic estimation of the intensity in different geographical locations can be carried out in any moment after the occurrence of the event, exploiting the information as soon as is made available and efficiently integrating ancillary data and expert judgment; • the use of a web-based reconnaissance platform (RRDA) based on mobile mapping allows for the remote involvement of a possibly high number of skilled surveyors. Furthermore, the process is completely transparent, and the collected data (including both the evaluation of the experts and the geo-referenced spheric images) can contribute to the prompt recalibration of fragility and vulnerability models. The proposed procedure would also benefit from the integration of reconnaissance data provided by independent surveying missions; • the integration of the data provided by the Copernicus Emergency Mapping service has the two fold advantage: 1) exemplifying the integration of qualified information into the process from a very early stage, and 2) showing how the damage grading from satellite imagery may actively complement the collected data with information on the most damaged areas, which are likely not accessible to a direct survey. Acknowledgments. This study has been supported by the GFZ Hazard and Risk Team (HART) program. We are grateful to the Italian Department for Civil Protection for the support in the field operations, and would also like to acknowledge the kind assistance of the National Firefighters Corps and the Italian Army. References Azzaro R., A. Tertulliani, F. Bernardini, R. Camassi, S. Del Mese, E. Ercolani, L. Graziani, M. Locati, A. Maramai, V. Pessina, A. Rossi, A. Rovida, P. Albini, L. Arcoraci, M. Berardi, C. Bignami, B. Brizuela, C. Castellano, V. Castelli, S. D’amico, V. D’amico, A. Fodarella, I. Leschiutta, A. Piscini, M. Sbarra 2016: The Amatrice 2016 earthquake: macro-seismic survey in the damage area and preliminary EMS intensity assessment. ������ �� Annals of Geophysics, 59, fast track 5, 2016; DOI: 10.4401/ag-7203. Copernicus Emergency Management Service (© 2016 European Union), SRM177. http://emergency.copernicus.eu/ mapping/list-of-components/EMSR177 (last accessed 06.09.2017) Faenza L., Lauciani V., andMicheliniA. 2016; The ShakeMaps of the Amatrice, M6, earthquake. Annals of Geophysics, vol. 59, 2016. Gelman A., Carlin J. B., Stern H. S., Dunson D. B., Vehtari A.; Rubin D. B. 2013: Bayesian Data Analysis, Third Edition. Chapman and Hall/CRC. ISBN 978-1-4398-4095-5 . Grünthal G. (Ed.) 1998: European Macroseismic Scale 1998 (EMS-98) . European Seismological Commission, Subcommission on Engineering Seismology, Working Group Macroseismic Scales. Conseil de l’Europe, Cahiers du Centre Européen de Géodynamique et de Séismologie, 15, Luxembourg, 99 pp. Lagomarsino S. and Giovinazzi S. 2006: Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings. Bulletin of Earthquake Engineering, vol. 4, no. 4, pp. 415–443, Nov. 2006 . Musson, R. M., and Cecić, I. 2012: Intensity and intensity scales. In New Manual of Seismological Observatory Practice 2 (NMSOP-2), Bormann, P. (Editor), Deutsches GeoForschungsZentrum (GFZ), Potsdam, Germany, 1–41, doi: 10.2312/GFZ.NMSOP-2_ch12. Pittore M. and Wieland M. 2012: Toward a rapid probabilistic seismic vulnerability assessment using satellite and ground-based remote sensing. Natural Hazards, Nov. 2012. Pittore M., Wieland M., Errize M., Kariptas C., and Güngör I. 2015: Improving Post-Earthquake Insurance Claim Management: A Novel Approach to Prioritize Geospatial Data Collection. ISPRS International Journal of Geo- Information, vol. 4, no. 4, pp. 2401–2427, Oct. 2015. Sieberg A. 1930: Geologie der Erdbeben. �������� ��� ��������� Handbuch der Geophysik , 2, 4, 552-554 [Tabb. 100, 101, 102, 103]. Berlin.