GNGTS 2015 - Atti del 34° Convegno Nazionale

110 GNGTS 2015 S essione 1.2 (Italy Hazard from Capable Faults, ISPRA project ), the “Neotectonic Map of Italy”, 1:500,000 (Ambrosetti et al. , 1987), the geological sheets n.349, Gran Sasso, n.359, L’Aquila, n.368, Avezzano; n.369, Sulmona, 1:50.000 (ISPRA, CARG project); the Geological Map, 1:100,000, Sheet 1 (Vezzani and Ghisetti, 1998); moreover, the dataset was integrated with faults extracted by many scientic papers (Boncio et al. , 2004; Galadini et al. 2000; Galadini et al. , 2003; Falcucci et al. , 2011; Moro et al. , 2013). The final fault data set consists of the extracted lineaments, in vector format, which have been digitized and geocoded from the original maps in raster format. The selected faults are plotted on the shaded relief map of the Abruzzo area (Fig. 1). We created an associated attribute table containing for each fault: an ID number, geographical coordinates, age, slip rate, bibliography. The “earthquake” data set includes the seismic events extracted from historical and recent available seismic catalogues (Fig. 2): the CPTI11 (Catalogue of Parametric Italian Earthquakes, Rovida et al. , 2011) that contains the historical Italian earthquakes and their seismic parameters (hypocenters; intensity value and equivalent magnitude) from year 1000 to 2006; the CPTI04 (Catalogue of Parametric Italian Earthquakes, ������ �� ������ ����� ����� ��������� ��� Gruppo di Lavoro CPTI, 2004) ��������� ��� including the Italian earthquakes and their seismic parameters (hypocenters; intensity value and equivalent magnitude) from year 217 b.C. to 2002; the ISIDE INGV database (Italian Seismological Instrumental and parametric data-base ������������������������������������������������ � ���� http://iside.rm.ingv.it/iside/standard/index.jsp ���� ) that contains all the revised Italian earthquakes recorded by the Italian permanent seismic network and their seismic parameters (hypocenters; intensity value and magnitude) since 1990. The earthquake layer have been created by selecting from the catalogues the seismic events with the best epicentral location. An associated attribute table that includes the date of earthquake, the focal parameters and geographic coordinates for each seismic event was created. In this study we employed also the information deriving from the analysis of “gravimetric” data. As known, potential fields may be seen as the superposition of effects due to sources of different depths and extents. The main difficulty to interpret the resulting field is due to the complex reciprocal interference of these different effects (Fedi et al. , 2007). To overcome this problem, we used a Multiscale Derivative Analysis (MDA), which employs the good resolution properties of the Enhanced Horizontal Derivative signal (EHD, Fedi et al. , 2005). EHD is a high-resolution edge estimator based on the horizontal derivative of a weighted sum of field vertical derivatives. We used the MDA to interpret the Bouguer anomalies of the central Italian regions. Gravity data extracted from the Bouguer Gravity Anomaly Map of Italy published by Fig. 2 – Map of earthquakes distribution: from ISIDE catalogue (in red), from CPT111 (in yellow).