GNGTS 2018 - 37° Convegno Nazionale

302 GNGTS 2018 S essione 2.1 beaches, steep rocky slopes, jagged inlets). A set of tsunami scenarios, placed offshore in front of the target area and having different magnitudes and focal mechanisms, is then selected and modelled with Tsunami-HySEA (Mac as et al. , 2017), a non-linear hydrostatic shallow-water multi-GPU code, using high-resolution topo-bathymetic data to produce detailed inundation maps (Fig. 3). The analysis aims to evaluate the effectiveness of empirical estimates as input for risk mitigation strategies and, possibly, to quantify the associated uncertainty, by evidencing lights and shadows of using rapid but crude approximated models of very complex physical processes in the frame of tsunami alert needs. Acknowledgments. The work is funded by the TSUMAPS-NEAM (Grant agreement ECHO/SUB/2015/718568/ PREV26) project and the Agreement between Istituto Nazionale di Geofisica e Vulcanologia (INGV) and Italian Civil Protection Department (DPC). References DPCM; 2017: Direttiva Del Presidente Del Consiglio Dei Ministri 17 febbraio 2017 Istituzione del Sistema d’Allertamento nazionale per i Maremoti generati da sisma - SiAM. (17A03755) (GU Serie Generale n.128 del 05-06-2017). http://www.gazzettaufficiale.it/atto/serie_generale/caricaDettaglioAtto/originario?atto.data PubblicazioneGazzetta=2017-06-05&atto.codiceRedazionale=17A03755 Fraser, S. A. and Power, W. L.; 2013: Validation of a GIS-based attenuation rule for indicative tsunami evacuation zone mapping . GNS Science Report 2013/02. Lower Hutt. 21 p. Mac as J., Castro M.J., Ortega S., Escalante C. and González-Vida J.M.; 2017: Performance Benchmarking of Tsunami-HySEA Model for NTHMP’s Inundation Mapping Activities . Pure Appl. Geophys., 174, 3147–3183, doi: 10.1007/s00024-017-1583-1. Molinari I., Tonini R., Lorito S., Piatanesi A., Romano F., Melini D., Hoechner A., Gonzàlez-Vida J.M., Maciás J., Castro M.J. and de la Asunción M.; 2016: Fast evaluation of tsunami scenarios: uncertainty assessment for a Mediterranean Sea database . Nat. Hazards Earth Syst. Sci., 16, 2593-2602, doi:10.5194/nhess16-2593-2016. Selva J., Tonini R., Molinari I., Tiberti M.M., Romano F., Grezio A., Melini D., Piatanesi A., Basili R. and Lorito S.; 2016: Quantification of source uncertainties in Seismic Probabilistic Tsunami Hazard Analysis (SPTHA) . Geophys. J. Int., 205, 1780-1803, doi:10.1093/gji/ggw107. Fig. 3 - Target area (black dashed rectangle); numerical grids for inundation modelling in Catania (red rectangles) and Siracusa (blue rectangles); offshore points (green dots) in which are calculated the maximum wave heights used to compute the MIH and the empirical inundation.