CHARACTERIZED SOURCE MODEL OF THE 2024 NOTO PENINSULA EARTHQUAKE USING EMPIRICAL GREEN’S FUNCTION METHOD

The characterized source model (0.2–10 Hz) composed of strong motion generation areas (SMGAs) of the 2024 MJ7.6 Noto Peninsula earthquake was estimated using the empirical Green’s function method introducing the simulated annealing method. All nine SMGAs were located deeper than 4 km from the surface. The SMGA with the largest short-period spectral level A was located on the northeastern fault with the opposite dip direction from the other faults. The A of total SMGAs was slightly larger than the previous scaling models and four Mw ≧ 7.4 crustal earthquakes outside Japan.

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Publication Details

Journal
Journal of Structural and Construction Engineering (Transactions of AIJ)
Published
2025-03-31
DOI
https://doi.org/10.3130/aijs.90.445
Citations
2
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
3.73
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article

CHARACTERIZED SOURCE MODEL OF THE 2024 NOTO PENINSULA EARTHQUAKE USING EMPIRICAL GREEN’S FUNCTION METHOD

Toshimi SATOH, Atsushi Okazaki
2 citations
Journal of Structural and Construction Engineering (Transactions of AIJ)
Earthquake Detection and Analysis
3.73
article

CHARACTERIZED SOURCE MODEL OF THE 2024 NOTO PENINSULA EARTHQUAKE USING EMPIRICAL GREEN’S FUNCTION METHOD

Toshimi SATOH, Atsushi Okazaki
article en
2 citations

Abstract

The characterized source model (0.2–10 Hz) composed of strong motion generation areas (SMGAs) of the 2024 MJ7.6 Noto Peninsula earthquake was estimated using the empirical Green’s function method introducing the simulated annealing method. All nine SMGAs were located deeper than 4 km from the surface. The SMGA with the largest short-period spectral level A was located on the northeastern fault with the opposite dip direction from the other faults. The A of total SMGAs was slightly larger than the previous scaling models and four Mw ≧ 7.4 crustal earthquakes outside Japan.

Journal of Structural and Construction Engineering (Transactions of AIJ)Vol. 90(830)
Kansai Electric Power (Japan) (JP)
Climate action
Openalex Percentile: Top 9%
Earthquake Detection and Analysis
3.73
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