Investigation of the dependence structure in seismic hazard analysis: an application for Turkey
| Autor: | Serpil Ünal Karaçam |
|---|---|
| Přispěvatelé: | Uşak Üniversitesi, Fen Edebiyat Fakültesi, İstatistik Bölümü |
| Rok vydání: | 2019 |
| Předmět: |
Unconditional and conditional copulas
semi-Markov model seismic gap theory seismic hazard seismicity of North and West Anatolia Copula (linguistics) Occurrence data General Medicine Induced seismicity Latitude law.invention Richter magnitude scale Unconditional and conditional copulas semi-Markov model seismic gap theory seismic hazard seismicity of North and West Anatolia Seismic hazard law Covariate Seismology Geology Parametric statistics |
| Zdroj: | Volume: 68, Issue: 2 1528-1542 Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics |
| ISSN: | 1303-5991 2618-6470 |
| DOI: | 10.31801/cfsuasmas.543012 |
| Popis: | WOS: 000488869500026 In this study, using the earthquake occurrence data (Richter magnitude is equal to 4 or greater than 4 in the years 1901-2014) of the areas limited by 39.5 degrees - 42 degrees N latitudes and 26 degrees - 45 degrees E longitudes of North Anatolia and 36 degrees - 39.5 degrees N latitudes and 26 degrees - 31 degrees E longitudes of West Anatolia, it is aimed to model the dependence structure of Semi-Markov model via conditional copulas in which the copula is parametric and its parameter varies as the covariate, based on the assumption that the successive earthquakes in the same structural discontinuity should not be independent events and the occurrence of the earthquakes should be influenced by the elapsed time between them. From the results obtained for these regions with high seismicity, it is seen that the variation in the strength of dependence between the time elapsed from the previous seismic event and the magnitude of the next seismic event at different magnitudes of previous seismic event is highly significant and a usage of the parametric linear form in the copula parameter will be adequately characterized. |
| Databáze: | OpenAIRE |
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