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Authors: | Nardò, Sergio* Ascione, Alessandra* Mazzuoli, Stefano* Terranova, Carlo* Vilardo, Giuseppe* |
Title: | PS-Insar data analysis: pre-seismic ground deformation in the 2009 L’Aquila earthquake region | Journal: | Bollettino di Geofisica Teorica ed Applicata | Series/Report no.: | 1/61 (2020) | Publisher: | OGS | Issue Date: | 2020 | DOI: | 10.4430/bgta0251 | URL: | http://www3.inogs.it/bgta/pdf/bgta0251_Nardo.pdf | Keywords: | PS-InSAR MW 6.3 L’Aquila earthquake ground deformation pre-seismic earthquake precursor central Apennines |
Subject Classification: | 04.07. Tectonophysics | Abstract: | The accuracy of the millimetre-scale measurements made so far by the SAR systems, as well as the multi-temporal analysis methodologies, have provided impressive images of surface displacements in areas affected by strong earthquakes, and contributed to constrain the geometric and kinematic features of earthquake generating faults. The multi-temporal analysis of InSAR data is also being acknowledged as promising for the search of earthquake precursors. We have applied the multi-temporal PS-InSAR technique to the detection of pre- to post-seismic ground displacements in the region struck by the normal faulting 2009 L’Aquila earthquake. We have used ERS and ENVISAT PS-data sets from both ascending and descending orbits, covering a 20-year long time span. On the yearly-scale, we have identified a pre-seismic displacement pattern, which consists of opposite vertical motions that have affected the blocks in the hanging wall and footwall of the structure that is recognised as the surface trace of the earthquake-generating fault. In particular, we have highlighted a pre-seismic uplift for 4-5 years followed by subsidence (starting 6-8 months prior to the earthquake) of the hanging wall block, coeval to opposite vertical motions of the footwall block. We suggest that such a displacement pattern may represent an earthquake precursor signal. |
Appears in Collections: | Article published / in press |
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File | Description | Size | Format | |
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2020_Nardò_BGTA_Aquila PS-InSAR data analysis.pdf | 6.49 MB | Adobe PDF | View/Open |
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