GNGTS 2014 - Atti del 33° Convegno Nazionale
GNGTS 2014 S essione 2.1 67 In Fig. 1 the number of inhabitants in unusable dwellings (diamonds) with the corresponding uncertainty (squares and circles and best fit dashed lines) is compared, as a function of magnitude, with the real data of the homeless derived from Tab. 1. Besides the large scatter of the real data that obviously are not a linear function of the magnitude, it can be seen that the agreement with SIGE output is quite good if the large uncertainty in the results (corresponding to about an order of magnitude) is taken into account. The scenario results are slightly overestimated for small magnitude earthquakes and underestimated for high magnitudes. Similar results are obtained in case of the collapsed dwellings and fatalities (victims and injured) The graphical output of the new SIGE has been completely redesigned, changing fromAML (ESRI) to Pyton programming language, producing new figures and maps updated with the last seismological and territorial data and a Geo-database organized also to receive information from the surveys in the epicentral area in order to update the first estimate of the scenario. Fig. 2 – Map (ArcMap 10.1) produced by SIGE showing the location of the Lunigiana Mw=5.4 earthquake of June 2013 together with the individual and composite seimogenic sources DISS 3.1.1 (DISS Working Group, 2010) the epicenters of the historical earthquakes [catalogue CPT11: Rovida et al. (2011)] and the PGA contour lines corresponding to the different GMPEs selected.
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