GNGTS 2022 - Atti del 40° Convegno Nazionale

300 GNGTS 2022 Sessione 2.2 TEV . High magnitude earthquakes ( M W = 6÷6.5), occurring 50 km far from the city center, cause expected losses ranging between 1÷5% TEV . On the contrary, low magnitude earthquakes ( M W = 5÷5.5) cause expected losses ranging between 10÷30% of the TEV when occurring in the first 10 km from the city center, while are negligible when occurring starting from 30 km far from the city center. Fig. 3b shows the behavior of the coefficient of variation, highlighting how higher uncertainties are associated to smaller losses since the damage distribution is more uncertain for lower PGA, than respect to higher shaking values. Finally, Fig. 3c and Fig. 3d shoes the expected losses as a function of respectively the epicentral distance and the earthquake magnitude. These last plots can be particularly useful for authorities for assessing seismic risk, and for civil protection purposes for the emergency management. Acknowledgements . This work was funded by the European Commission (project Interreg V-A Italy-Slovenia 2014- 2020 CROSSIT SAFER) within the European Territorial Cooperation program “INTERREG”. The project partners are also gratefully acknowledged. References Ahmad, N., Crowley, H., Pinho, R.: Analytical fragility functions for reinforced concrete and masonry buildings aggregates of Euro-Mediterranean regions - UPAV methodology. Syner-G Project, 2009/2012, Internal report, 2011. Babič A., Dolšek M., Žižmond J., 2021, Simulating Historical Earthquakes in Existing Cities for Fostering Design of Resilient and Sustainable Communities: The Ljubljana Case , Sustainability 13. Bindi D., Pacor F., Luzi L., Puglia R., Massa M., Ameri G., et al. 2011, Ground motion prediction equations derived from the Italian strong motion database. Bull Earthq Eng, 9(6):1899–920. Dolce, M.; Prota, A.; Borzi, B.; da Porto, F.; Lagomarsino, S.; Magenes, G.; Moroni, C.; Penna, A.; Polese, M.; Sperenza, E.; et al. (2021). Seismic risk assessment of residential buildings in Italy: Methodology overview and main results. Bull. Earthq. Eng., 19, pages2999–3032. HAZUS-MHMR4. (2003). “Multi-hazard loss estimationmethodology - Earthquakemodel.” Dept. of Homeland Security Emergency Preparedness and Response Directorate Federal Emergency Management Agency, Washington, DC. Hofer L., Zanini M.A., Gardoni P., 2020, Risk-based catastrophe bond design for a spatially distributed portfolio, Structural Safety, 83: 101908. Kostov, M., Vaseva, E., Kaneva, A., Koleva, N., Verbanov, G., Stefanov, D., Darvarova, E., Salakov, D., Simeonova, S., Cristoskov, L.: 2004: Application to Sofia. Report RISK-UE WP13. Project Interreg V-A Italy-Slovenia 2014-2020 CROSSIT SAFER, https://www.ita-slo.eu/en/crossit-safer. Zanini M.A., Hofer L., Pellegrino C., 2019, A framework for assessing the seismic risk map of Italy and developing a sustainable risk reduction program. International Journal of Disaster Risk Reduction, 33: 74-93.