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Introduction to worldwide earthquake probability distributions

Modelling the seismicity data is extremely difficult; hence, the assumptions on the distribution of earthquake occurrences play a crucial part in determining seismic hazard. Due to its simplicity and ease of use, the Poisson distribution has been the most common distribution for modelling earthquake...

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Main Authors: Mohamed, Nur Anisah, Hisam, Mohamad Norikmal Fazli
格式: Conference or Workshop Item
出版: American Institute of Physics Inc. 2024
主题:
QA Mathematics
在线阅读:http://eprints.um.edu.my/44955/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182562243&doi=10.1063%2f5.0172144&partnerID=40&md5=d6e81ee3113b2e819388b7893c35fc7a
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spelling my.um.eprints.449552025-02-18T04:49:56Z http://eprints.um.edu.my/44955/ Introduction to worldwide earthquake probability distributions Mohamed, Nur Anisah Hisam, Mohamad Norikmal Fazli QA Mathematics Modelling the seismicity data is extremely difficult; hence, the assumptions on the distribution of earthquake occurrences play a crucial part in determining seismic hazard. Due to its simplicity and ease of use, the Poisson distribution has been the most common distribution for modelling earthquake data over the past year. Nevertheless, the Poisson distribution appears inefficient due to the diversity of earthquake data and the temporal correlations that are common in many real earthquake sequences. The statistical goodness-of-fit tests using worldwide seismicity data from 1921 to 2021 indicate that earthquake temporal occurrences do not always match the commonly used Poisson distribution in earthquake research. On the other hand, the Negative Binomial distribution was discovered to be a better distribution for observed earthquake magnitude distributions, and it may be applied in seismic analysis. © 2024 Author(s). American Institute of Physics Inc. 2024 Conference or Workshop Item PeerReviewed Mohamed, Nur Anisah and Hisam, Mohamad Norikmal Fazli (2024) Introduction to worldwide earthquake probability distributions. In: 29th National Symposium on Mathematical Sciences, SKSM 2022, 7-8 September 2022, Virtual, Online. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182562243&doi=10.1063%2f5.0172144&partnerID=40&md5=d6e81ee3113b2e819388b7893c35fc7a
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA Mathematics
spellingShingle QA Mathematics
Mohamed, Nur Anisah
Hisam, Mohamad Norikmal Fazli
Introduction to worldwide earthquake probability distributions
description Modelling the seismicity data is extremely difficult; hence, the assumptions on the distribution of earthquake occurrences play a crucial part in determining seismic hazard. Due to its simplicity and ease of use, the Poisson distribution has been the most common distribution for modelling earthquake data over the past year. Nevertheless, the Poisson distribution appears inefficient due to the diversity of earthquake data and the temporal correlations that are common in many real earthquake sequences. The statistical goodness-of-fit tests using worldwide seismicity data from 1921 to 2021 indicate that earthquake temporal occurrences do not always match the commonly used Poisson distribution in earthquake research. On the other hand, the Negative Binomial distribution was discovered to be a better distribution for observed earthquake magnitude distributions, and it may be applied in seismic analysis. © 2024 Author(s).
format Conference or Workshop Item
author Mohamed, Nur Anisah
Hisam, Mohamad Norikmal Fazli
author_facet Mohamed, Nur Anisah
Hisam, Mohamad Norikmal Fazli
author_sort Mohamed, Nur Anisah
title Introduction to worldwide earthquake probability distributions
title_short Introduction to worldwide earthquake probability distributions
title_full Introduction to worldwide earthquake probability distributions
title_fullStr Introduction to worldwide earthquake probability distributions
title_full_unstemmed Introduction to worldwide earthquake probability distributions
title_sort introduction to worldwide earthquake probability distributions
publisher American Institute of Physics Inc.
publishDate 2024
url http://eprints.um.edu.my/44955/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182562243&doi=10.1063%2f5.0172144&partnerID=40&md5=d6e81ee3113b2e819388b7893c35fc7a
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score 13.251813

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