Multiple regression analysis for estimating earthquake magnitude as a function of fault length and recurrence interval

Takashi Kumamoto; Kozo Oonishi; Yoko Futagami; Mark W. Stirling

doi:10.1007/978-4-431-55822-4_3

Multiple regression analysis for estimating earthquake magnitude as a function of fault length and recurrence interval

Takashi Kumamoto, Kozo Oonishi, Yoko Futagami, Mark W. Stirling

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Multiple regressions are developed using world earthquake data and active fault data, and the regressions are then evaluated with Akaike’s Information Criterion (IEEE Trans Autom Control, 19(6):716–723). The AIC method enables selection of the regression formula with the best fit while taking into consideration the number of parameters. By using parameters relevant to earthquakes and active faults in the regression analyses, we develop a new empirical equation for magnitude estimation as Mw = 1.13logLs + 0.16logR + 4.62.

Original language	English
Title of host publication	Earthquakes, Tsunamis and Nuclear Risks
Subtitle of host publication	Prediction and Assessment Beyond the Fukushima Accident
Publisher	Springer Japan
Pages	43-53
Number of pages	11
ISBN (Electronic)	9784431558224
ISBN (Print)	9784431558200
DOIs	https://doi.org/10.1007/978-4-431-55822-4_3
Publication status	Published - Jan 1 2016

Keywords

Fault length
Magnitude
Multiple regression analysis
Recurrence interval

ASJC Scopus subject areas

Engineering(all)
Environmental Science(all)
Earth and Planetary Sciences(all)
Mathematics(all)

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10.1007/978-4-431-55822-4_3

Cite this

Multiple regression analysis for estimating earthquake magnitude as a function of fault length and recurrence interval. / Kumamoto, Takashi; Oonishi, Kozo; Futagami, Yoko et al.

Earthquakes, Tsunamis and Nuclear Risks: Prediction and Assessment Beyond the Fukushima Accident. Springer Japan, 2016. p. 43-53.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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ER -

Multiple regression analysis for estimating earthquake magnitude as a function of fault length and recurrence interval

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Keywords

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