Local earthquake magnitude estimation using ridge regression model | Zendy

Ahn Hyeongki | Zendy; Lee Kyunghyun | Zendy; Kim Hyunchang | Zendy; Hu Mingyuan | Zendy; You Kwanho | Zendy

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Local earthquake magnitude estimation using ridge regression model

Author(s) -

Ahn Hyeongki,

Lee Kyunghyun,

Kim Hyunchang,

Hu Mingyuan,

You Kwanho

Publication year - 2022

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/ell2.12503

Subject(s) - magnitude (astronomy) , ridge , geology , seismology , estimation , regression analysis , regression , geodesy , statistics , mathematics , engineering , physics , paleontology , systems engineering , astronomy

In this paper, a local magnitude estimation model using ridge regression is proposed for the accurate determination of the local magnitude of earthquakes. To increase its accuracy, an estimation model was derived from the hypocentral distance correction term and peak amplitude using ridge regression. The improved performance of the proposed estimation model was evaluated via the mean squared error. It was compared with the least squares model to confirm its superiority in predicting the real magnitude.

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