Statistics – Computation
Scientific paper
Sep 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3417301d&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 17, CiteID L17301
Statistics
Computation
2
Computational Geophysics: Modeling (4255), Geodesy And Gravity: Non-Tectonic Deformation, Seismology: Earthquake Source Observations (1240), Seismology: Paleoseismology (8036)
Scientific paper
High spatial resolution DInSAR data for the Umbria Marche 1997 seismic sequence are exploited by relaxing constraints derived from datasets of different nature, such as seismologically derived fault dimensions. DInSAR data are thus inverted for a realistic slip distribution over the faults, in terms of depth distribution and roughness, which allows us to relocate the main faults and to minimize the misfit between the vertical displacement pattern derived from DInSAR and model predictions. Our analysis reveals that slip affected not only the shallowest part of the fault system but also its deepest part, rupturing the whole seismogenic layer of the crust down to 10 km, reaching slip values up to 30 cm at the base of the seismogenic layer. Misfit is reduced by a factor of two with respect to previous analyses based on a smaller number of digitized fringe points.
Crippa Bruno
Dalla Via Giorgio
Giacomuzzi G.
Sabadini Roberto
Toraldo Serra E. M.
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