Introduction to worldwide earthquake probability distributions
Document Type
Conference Item
Publication Date
1-1-2024
Abstract
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).
Keywords
Worldwide earthquake, Probability, Distributions, Assumptions
Divisions
MathematicalSciences
Publication Title
AIP Conference Proceedings
Volume
2905
Issue
1
Publisher
American Institute of Physics Inc.
Event Title
29th National Symposium on Mathematical Sciences, SKSM 2022
Event Location
Virtual, Online
Event Dates
7-8 September 2022
Event Type
conference