Journals / Balkan Geophysical Society. Journal / 1999 / Cilt: 2 - Sayı: 1-4

An application of the semi-Markov model for earthquake occurrences in North Anatolia, Turkey

Pages
90–99
Publication Date
2022-10-11
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The determination of joint probabilities demonstrates that earthquake occurrence can be investigated in the three dimensions of space, time and magnitude.

📌 3 Key Takeaways

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Objective & Hypothesis:Earthquake occurrence probabilities are estimated by applying the Semi-Markov Model.
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Key Findings & Data:The North Anatolian Fault Zone between longitudes $26.00^circ$ E and $42.00^circ$ E is selected for this study.
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Conclusion & Impact:The determination of joint probabilities demonstrates that earthquake occurrence can be investigated in the three dimensions of space, time and magnitude.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Earthquake occurrence probabilities are estimated by applying the Semi-Markov Model. This model assumes that the successive earthquakes in the same structural discontinuity are not independent events, but they are influenced by the elapsed time interval between them. The North Anatolian Fault Zone between longitudes $26.00^circ$ E and $42.00^circ$ E is selected for this study. Seventy-one earthquakes having surface wave magnitudes $Mgeq 5.5$ occurred in the region between 1902 and 1992 are considered. The occurrence probabilities were obtained by determining interval transition probabilities for region to region and magnitude to magnitude transitions of these earthquakes. The determination of joint probabilities demonstrates that earthquake occurrence can be investigated in the three dimensions of space, time and magnitude.

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Cite This Article

ALTINOK, Y., KOLÇAK, D. (2022). An application of the semi-Markov model for earthquake occurrences in North Anatolia, Turkey. Balkan Geophysical Society. Journal, Cilt: 2 - Sayı: 1-4, 90–99. https://ajindex.com/articles/460298