Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00583428" target="_blank" >RIV/67985807:_____/24:00583428 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/s40808-023-01940-x" target="_blank" >https://doi.org/10.1007/s40808-023-01940-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s40808-023-01940-x" target="_blank" >10.1007/s40808-023-01940-x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process

Popis výsledku v původním jazyce

This paper explores the applicability of Inhomogeneous Log-Gaussian Cox point process to a complex spatial mechanism generating the tightly clustered locations of an earthquake aftershocks. The data constitutes the deadly 2023-Türkiye earthquake of magnitude 7.8 and its aftershocks of magnitudes as large as 7.5. Locations of active tectonic faults and the plate boundaries marked within the study area provide useful covariate information for explaining the aftershocks distribution pattern in 2-D spatial domain. The fitted Inhomogeneous Log-Gaussian Cox Point Process (LGCP) model is able to successfully account for this information. Intensity function of the model serves as a suitable choice to describe the intricate spatial mechanism underlying the earthquakes pattern generation. The available covariates information improves the performance of the fitted LGCP model in describing spatial variation of the density of earthquakes in terms of the distinct spatial features of the seismic region.

Název v anglickém jazyce

Modeling spatial distribution of earthquake epicenters using inhomogeneous Log-Gaussian Cox point process

Popis výsledku anglicky

This paper explores the applicability of Inhomogeneous Log-Gaussian Cox point process to a complex spatial mechanism generating the tightly clustered locations of an earthquake aftershocks. The data constitutes the deadly 2023-Türkiye earthquake of magnitude 7.8 and its aftershocks of magnitudes as large as 7.5. Locations of active tectonic faults and the plate boundaries marked within the study area provide useful covariate information for explaining the aftershocks distribution pattern in 2-D spatial domain. The fitted Inhomogeneous Log-Gaussian Cox Point Process (LGCP) model is able to successfully account for this information. Intensity function of the model serves as a suitable choice to describe the intricate spatial mechanism underlying the earthquakes pattern generation. The available covariates information improves the performance of the fitted LGCP model in describing spatial variation of the density of earthquakes in terms of the distinct spatial features of the seismic region.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Modeling Earth Systems and Environment

ISSN

2363-6203

e-ISSN

2363-6211

Svazek periodika

10

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

17

Strana od-do

2917-2933

Kód UT WoS článku

001154411800002

EID výsledku v databázi Scopus

2-s2.0-85183878612