Open AccessLocal 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 , regression , estimation , mean squared error , regression analysis , earthquake magnitude , statistics , amplitude , mathematics , least squares function approximation , geology , geodesy , geometry , physics , engineering , optics , paleontology , systems engineering , astronomy , scaling , estimator
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.