Estimation of Earthquake Intensity Function as a Form of Nonhomogenic Poisson Process

Authors

  • Nur Fuadil Maqnun Wahab a:1:{s:5:"en_US";s:4:"ayah";}
  • Andi Kresna Jaya
  • Nurtit Sunusi

Keywords:

Earthquakes, Linear Regression, Nonhomogen Poisson Process

Abstract

Earthquake is a natural phenomenon that is random in nature because its occurrence depends on time so that earthquakes are seen as a Nonhomogeneous Poisson Process. In this study, the Nonhomogeneous Poisson process was applied to estimate the number of earthquakes on the island of Sulawesi. The data used in this study is the occurrence of earthquakes on Sulawesi Island from January 2018 to December 2020 sourced from the Meteorology, Climatology and Geophysics Agency (BMKG) Region IV Makassar. The results of this study indicate that earthquakes that occur from one month to the next do not affect each other other than that the value of the intensity of the earthquake in each interval (month) is not the same, so that the estimated incidence of earthquakes on the island of Sulawesi with a strength of more than 5.0 SR is obtained. on 1 to 8 July 2021 is about 14 earthquakes with a standard deviation of about 3 times and the probability of an earthquake is 0.10537.

References

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Sumiati, I. Application of the Nonhomogeneous Poisson Process for Counting Earthquakes. Bandung : Universitas Padjajaran. 2019.

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Published

2023-08-04

Issue

Vol. 4, No. 2, Juli, 2023 : Estimasi

Section

Articles

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