GNGTS 2016 - Atti del 35° Convegno Nazionale

GNGTS 2016 S essione 1.2 205 be related to the difference between the maximum and minimum principal stresses. Whence the inference that the b value could be time dependent, besides being a function of the stress regime. References Allmann, B.P., Shearer, P.M. (2009), Global variations of stress drop from moderate to large earthquakes. J. Geophys. Res., 114, B01310, doi:10.1029/2008JB005821. Caporali A., C. Bruyninx, R. Fernandes, A. Ganas, A. Kenyeres, M. Lidberg, G. Stangl, H. Steffen, J. Zurutuza (2016), Stress drop at the Kephalonia Transform Zone estimated from the 2014 seismic sequence, Tectonophysics 666, 164–172, http://dx.doi.org/10.1016/j.tecto.2015.11. Carafa, M. M. C., S. Barba, and P. Bird (2015), Neotectonics and long-term seismicity in Europe and theMediterranean region, J. Geophys. Res. Solid Earth, 120, 5311–5342, doi:10.1002/2014JB011751. Chen, Y.L., Hung, S.H., Jiang, J.S., Chiao, L.Y. (2016), Systematic correlations of the earthquake frequency-magnitude distribution with the deformation and mechanical regimes in the Taiwan orogeny, doi: 10.1002/2016GL069020. Console, R., M. Murru, G. Falcone, and F. Catalli  (2008), Stress interaction effect on the occurrence probability of characteristic earthquakes in Central Apennines, J. Geophys. Res., 113, B08313, doi:10.1029/2007JB005418. DiLuccio, F., E. Fukuyama and N. A. Pino 2005 The 2002 Molise earthquake sequence: What can we learn about the tectonics of southern Italy? Tectonophysics, 405, 141-154. Fracassi, U., and G. Valensise 2007 Unveiling the sources of the catastrophic 1456 multiple earthquake: Hints to an unexplored tectonic mechanism in Southern Italy. Bull. Seismol. Soc. Am., 97, 3, 725-748, 10.1785/0120050250. King, G. and M. Cocco (2000), Fault interaction by elastic stress changes: New clues from earthquake sequences, Adv. Geophys., 44, 1–36. Montone, P. and M.T. Mariucci (2016). The new release of the Italian contemporary stress map, Geophys. J. Int. (2016) 205, 1525–1531, doi: 10.1093/gji/ggw100. Palano, M. (2015), On the present-day crustal stress, strain-rate fields and mantle anisotropy pattern of Italy. Geophys. J. Int. (February, 2015) 200 (2): 967-983 doi:10.1093/gji/ggu451. Restivo, A., G. Bressan and M. Sugan (2016), Stress and strain patterns in the Venetian Prealps (north-eastern Italy) based on focal-mechanism solutions, Bollettrino Geofisica Teorica e Applicata Vol. 57, n. 1, 13-30, doi. 10.4430/ bgta0166 Rovida A., Locati M., Camassi R., Lolli B., Gasperini P. (eds), 2016. CPTI15, the 2015 version of the Parametric Catalogue of Italian Earthquakes. Istituto Nazionale di Geofisica e Vulcanologia. doi: http://doi.org/10.6092/ INGV.IT -CPTI15. Scholz, C. H. (2015), On the stress dependence of the earthquake b value, Geophys. Res. Lett., 42, 1399–1402, doi:10.1002/2014GL062863. Viganò A., Bressan G., Ranalli G. and Martin S.,(2008), Focal mechanism inversion in the Giudicarie–Lessini seismotectonic region (Southern Alps, Italy): Insights on tectonic stress and strain. Tectonophysics, 460, 106- 115. The present Italian kinematic pattern from GNSS data N. Cenni 1 , M.E. Belardinelli 1 , P. Baldi 1 , F. Loddo 2 , S. Gandolfi 3 , L. Poluzzi 3 , L. Tavasci 3 , E. Mantovani 4 , D. Babbucci 4 , M. Viti 4 1 Dipartimento di Fisica ed Astronomia, Università di Bologna, Italy 2 Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Italy 3 Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali (DICAM), Università di Bologna, Italy 4 Dipartimento Scienze Fisiche, della Terra e dell’Ambiente, Università di Siena, Italy The present Italian kinematic field has been estimated by a network of about 600 GNSS permanent stations �������� ����������� �� ��� ����� ���� ����� ��� ��� ����� ������������ unevenly distributed on the study area (Fig. 1). The daily observations acquired with a sampling rate of 30 seconds from January 01, 2001 to August, 1, 2016 have been analysed by GAMIT software (version 10.6, Herring et al. , 2015a), adopting a distributed procedure (Dong et al., 1998). The whole network has been divided into 45 clusters, following