Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8344
AuthorsGaudiosi, G.* 
Alessio, G.* 
Cella, F.* 
Fedi, M.* 
Florio, G.* 
Nappi, R.* 
TitleMultiparametric data analysis for seismic source identification in the Campanian area: merging of seismological, structural and gravimetric data
Issue Date12-Sep-2012
Series/Report no.3/53 (2012)
DOI10.4430/bgta0050
URIhttp://hdl.handle.net/2122/8344
Keywordsseismic sources, seismicity, gravimetry, geology, Campania, southern Italy
Subject Classification04. Solid Earth::04.02. Exploration geophysics::04.02.99. General or miscellaneous 
AbstractThis paper deals with an interdisciplinary research that has been carried out to investigate the neotectonic activity of the Campanian plain and surrounding areas (southern Italy), affected by Plio-Pleistocene tectonics and volcanic activity. Three thematic data sets have been generated for this area, “fault”, “earthquake” and “gravimetric” data sets, respectively. These data sets allow an integrated analysis of the structural, seismic and gravimetric data in GIS environment with the aim of identifying the active structural lineaments that accommodate the local stress through seismic activity. In detail, an original map with Plio-Quaternary tectonic structures of the Campanian plain and its margins, constrained by morpho-structural analysis and/or geophysical exploration data, is presented. The available earthquake data sets have been merged in a single data set, including seismicity in the Campanian area from 217 b.C. to 2010; processing of seismic data for new precise earthquake locations have been carried out for some clusters of events with poor data, for better constraining existence and activity of some outcropping and buried tectonic structures. As regards the gravimetric data set, a Multiscale Derivative Analysis (MDA) of the gravity field of the area has been performed, relying on the high resolution properties of the Enhanced Horizontal Derivative (EHD). MDA of gravity data allowed localization of several linear and close trends, identifying anomaly sources whose presence was not previously detected. Our integrated analysis shows that a strong correlation occurs among the new hypocentral locations of the seismic clusters matching the fault systems of the Massico Mt. and Avella Mts., and the MDA lineaments from gravity data relative to the same tectonic structures.
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