Search results for " Seismic data"

showing 3 items of 3 documents

An Integrated Multiscale Method for the Characterisation of Active Faults in Offshore Areas. The Case of Sant’Eufemia Gulf (Offshore Calabria, Italy)

2021

Diagnostic morphological features (e.g., rectilinear seafloor scarps) and lateral offsets of the Upper Quaternary deposits are used to infer active faults in offshore areas. Although they deform a significant seafloor region, the active faults are not necessarily capable of producing large earthquakes as they correspond to shallow structures formed in response to local stresses. We present a multiscale approach to reconstruct the structural pattern in offshore areas and distinguish between shallow, non-seismogenic, active faults, and deep blind faults, potentially associated with large seismic moment release. The approach is based on the interpretation of marine seismic reflection data and …

010504 meteorology & atmospheric sciencesSettore GEO/02 - Geologia Stratigrafica E SedimentologicaScienceSettore GEO/03 - Geologia StrutturaleInversion (geology)Active faultSlab-tear faultLate MioceneCalabrian arc (Italy)010502 geochemistry & geophysicsFault scarp01 natural sciencesPaleontologymorphotectonic analysiMorphotectonic analysisHigh-resolution seismic dataBathymetry0105 earth and related environmental sciencesActive tectonicsactive tectonicQAnticlineSeafloor spreadingTectonicsGeneral Earth and Planetary SciencesGeologySouthern tyrrhenian sea
researchProduct

Submarine canyons of north-western Sicily(Southern Tyrrhenian Sea): Variability in morphology, sedimentary processes and evolution on a tectonically …

2014

Settore GEO/02 - Geologia Stratigrafica E SedimentologicaSettore GEO/03 - Geologia StrutturaleSettore GEO/04 - Geografia Fisica E GeomorfologiaSubmarine canyons Tectonics Landslides Swath-bathymetry Seismic data Sicily Southern Tyrrhenian Sea
researchProduct

Including covariates in a space-time point process with application to seismicity

2020

AbstractThe paper proposes a spatio-temporal process that improves the assessment of events in space and time, considering a contagion model (branching process) within a regression-like framework to take covariates into account. The proposed approach develops the forward likelihood for prediction method for estimating the ETAS model, including covariates in the model specification of the epidemic component. A simulation study is carried out for analysing the misspecification model effect under several scenarios. Also an application to the Italian seismic catalogue is reported, together with the reference to the developed R package.

Statistics and ProbabilityMathematical optimization010504 meteorology & atmospheric sciencesSpacetimeComputer scienceSpace timeSpace-time point processes ETAS model R package for seismic datacovariatesProcess (computing)01 natural sciencesPoint process010104 statistics & probabilitySpecificationComponent (UML)Covariate0101 mathematicsStatistics Probability and Uncertainty0105 earth and related environmental sciencesBranching process
researchProduct