GNGTS 2024 - Atti del 42° Convegno Nazionale
Session 1.1 GNGTS 2024 InSAR data analysis to investgate the 2009 post- seismic deformaton in L'Aquila downtown V. Guerriero 1 , A. Sciortno 1 , R. Marini 2 , P. Mazzant 2, 3 , M. Tallini 1 1 Dipartmento di Ingegneria Civile, Edile-Architetura e Ambientale, Università degli Studi dell'Aquila 2 NHAZCA S.r.l., start-up Università degli Studi di Roma “La Sapienza” 3 Dipartmento di Scienze della Terra & centro di ricerca CERI, Università degli Studi di Roma “La Sapienza” Introducton A statstcal analysis of tme series of A-DInSAR post-seismic data, acquired in the tme range 2010-2021 from the Cosmo-SkyMed and Sentnel-1 missions, has been carried out. This has allowed analysing the relatonships between ground deformatons and geological, hydrogeological, and geomorphological features of the study area, located in L’Aquila (Italy) historical centre (LAHC). The correlaton analysis between predisposing factors and SAR deformaton has highlighted that subsidence is substantally controlled by the shalow lithology, showing how compositonal variatons within lithology can signifcantly infuence ground deformatons. Furthermore, hydrogeological features, such as water table depth and its seasonal fuctuatons exhibit correlaton with subsidence rates. The analysis of these data is stll ongoing and ofers promising research perspectves in the feld of geomechanical/geotechnical subsoil characterizaton, based on satellite ground deformaton data, also useful in seismic hazard characterizaton and mitgaton. A-DInSAR Displacement Data by means of Mult-Satellite technology The data set involved in the present study has been achieved by Advanced Diferental Synthetc Aperture Radar Interferometry (A-DInSAR) technique, by integratng of ground displacement values from two actve satellite SAR missions, namely Sentnel-1 (by ESA) and Cosmo-SkyMed (by ASI). The resultng data sets consist of tme series of 158 values of ground displacement, one for each monitored ground point, detected in the tme range from April 14, 2010, to November 30, 2021. Figs. 1, 2 and 3 illustrate A-DInSAR data involved in this study, with their comparison with local geology.
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