Generation of synthetic catalog by using Markov chain Monte Carlo simulation and inverse Poisson distribution

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dc.authoridKaraca, Hakan/0000-0003-3291-5822
dc.contributor.authorKaraca, Hakan
dc.date.accessioned2024-11-07T13:24:45Z
dc.date.available2024-11-07T13:24:45Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractA synthetic seismic catalog assists not only in reducing the uncertainties in computations of seismic hazard, but also in simulating the future seismic events, which, if modeled accordingly, provides a forecast model. The seismicity forecast provides additional time-dependent information that may complement the seismic hazard. Within this context, in an attempt to generate a synthetic catalog and simulate future seismicity at the same time, Markov chain Monte Carlo (MCMC) simulation techniques are employed. The temporal distribution of earthquakes is modeled through hidden Markov model (HMM) and periods with different inter-event time distributions are determined, which are then assigned with different states. Along with the global magnitude and spatial distribution, the inter-event time distribution for each state is used to simulate future events with magnitude, occurrence location, and time assigned accordingly. In the end, a synthetic catalog is generated which indeed is a detailed forecast as well.
dc.identifier.doi10.1007/s10950-021-10018-z
dc.identifier.endpage1114
dc.identifier.issn1383-4649
dc.identifier.issn1573-157X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85107578873
dc.identifier.scopusqualityQ2
dc.identifier.startpage1103
dc.identifier.urihttps://doi.org/10.1007/s10950-021-10018-z
dc.identifier.urihttps://hdl.handle.net/11480/14287
dc.identifier.volume25
dc.identifier.wosWOS:000659792500001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Seismology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectMCMC algorithm
dc.subjectSynthetic catalog
dc.subjectSeismicity
dc.subjectPattern recognition
dc.subjectSpatial smoothing
dc.titleGeneration of synthetic catalog by using Markov chain Monte Carlo simulation and inverse Poisson distribution
dc.typeArticle

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