6533b7d4fe1ef96bd12629cb

RESEARCH PRODUCT

ETAS Space–Time Modeling of Chile Triggered Seismicity Using Covariates: Some Preliminary Results

Marcello ChiodiNicoletta D’angeloOrietta NicolisAlex GonzàlezGiada Adelfio

subject

Technologymodel selectionQH301-705.5QC1-999Induced seismicityPhysics::Geophysicssemiparametric modelComponent (UML)CovariateGeneral Materials Sciencetriggered seismicityBiology (General)InstrumentationQD1-999AftershockBranching processFluid Flow and Transfer ProcessesProcess Chemistry and TechnologySpace timeModel selectionTPhysicsGeneral EngineeringcovariatesEngineering (General). Civil engineering (General)Computer Science ApplicationsSemiparametric modelETAS modelChemistrycovariatesemiparametric modelsTA1-2040GeologySeismology

description

Chilean seismic activity is one of the strongest in the world. As already shown in previous papers, seismic activity can be usefully described by a space–time branching process, such as the ETAS (Epidemic Type Aftershock Sequences) model, which is a semiparametric model with a large time-scale component for the background seismicity and a small time-scale component for the triggered seismicity. The use of covariates can improve the description of triggered seismicity in the ETAS model, so in this paper, we study the Chilean seismicity separately for the North and South area, using some GPS-related data observed together with ordinary catalog data. Our results show evidence that the use of some covariates can improve the fitting of the ETAS model.

yearjournalcountryeditionlanguage
2021-10-01Applied Sciences
10.3390/app11199143http://dx.doi.org/10.3390/app11199143