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Study of the Earthquake Probabilities in the Five Major Faults in and around Bangladesh: A Statistical Analysis | OMICS International| Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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  • Review   
  • J Earth Sci Clim Change,
  • DOI: 10.4172/2157-7617.1000438

Study of the Earthquake Probabilities in the Five Major Faults in and around Bangladesh: A Statistical Analysis

Fatima Rahman, Jobaidul Islam, Mohammad M*, Chakravorti BK and Prosannajid Sarkar
1Department of Physics, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh
2Dr. Wazed Research and Training Institute, Begum Rokeya University, Rangpur, Rangpur-5400, Bangladesh
*Corresponding Author : Mohammad M, Department of Physics, Mawlana Bhashani Science and Technology University (MBSTU), Santosh, Tangail-1902, Bangladesh, Tel: +880 921-55399, Email: Monir_m17@yahoo.com

Received Date: Dec 04, 2017 / Accepted Date: Jan 11, 2018 / Published Date: Jan 15, 2018

Abstract

Statistical analysis is a tool to calculate earthquake probabilities. In this work, the previous earthquake data from 1918 to 2016 with the magnitude level 6 and above have been analyzed. From the data analysis, weibull parameters, namely, shape parameter (β), scale parameter (τ) and rate parameter of exponential distribution (λ) have been determined. To calculate earthquake probabilities for the upcoming years, weibull distribution, log-normal distribution and exponential distributions have been studied. These three statistical distributions have been compared among them in five major faults in and around Bangladesh.

Keywords: Earthquake; Probability; Weibull distribution; Log-normal distribution; Exponential distribution

Citation: Rahman F, Islam J, Mohammad M, Chakravorti BK, Sarkar P (2018) Study of the Earthquake Probabilities in the Five Major Faults in and around Bangladesh: A Statistical Analysis. J Earth Sci Clim Change 9: 438. Doi: 10.4172/2157-7617.1000438

Copyright: © 2018 Rahman F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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