An improved ground motion model considering the seismological characteristics of the Korean Peninsula

In the present study, an accurate ground motion model (GMM) for the Korean Peninsula is developed by considering local seismological characteristics, including source, site, and three-dimensional (3D) path effects. An existing GMM for rock site conditions is adopted as the base model. To enhance the accuracy of this model and incorporate local seismological features, residuals between the observed and predicted intensity measures (IMs), such as peak ground acceleration ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>PGA</mml:mi> </mml:mrow> </mml:math> ) and pseudo-spectral acceleration ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>PSA</mml:mi> </mml:mrow> </mml:math> ), are computed. These residuals are further disaggregated into components associated with specific seismological characteristics: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Source</mml:mi> </mml:mrow> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Site</mml:mi> </mml:mrow> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Path</mml:mi> </mml:mrow> </mml:math> . Regression analyses are conducted to develop empirical equations for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Source</mml:mi> </mml:mrow> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Site</mml:mi> </mml:mrow> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Path</mml:mi> </mml:mrow> </mml:math> based on the calculated residuals. These correction terms are subsequently integrated into the existing GMM to establish the improved model. A practical example is provided to illustrate the application of the proposed GMM. The accuracy and reliability of the improved model are validated by comparing the observed IM values with those predicted by the proposed GMM.

Authors

Institutions

Publication Details

Journal
Earthquake Spectra
Published
2025-10-08
DOI
https://doi.org/10.1177/87552930251378217
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An improved ground motion model considering the seismological characteristics of the Korean Peninsula

Sang Whan Han, Hyun Woo Jee
Earthquake Spectra
Seismic Performance and Analysis
article

An improved ground motion model considering the seismological characteristics of the Korean Peninsula

Sang Whan Han, Hyun Woo Jee
article en

Abstract

In the present study, an accurate ground motion model (GMM) for the Korean Peninsula is developed by considering local seismological characteristics, including source, site, and three-dimensional (3D) path effects. An existing GMM for rock site conditions is adopted as the base model. To enhance the accuracy of this model and incorporate local seismological features, residuals between the observed and predicted intensity measures (IMs), such as peak ground acceleration ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>PGA</mml:mi> </mml:mrow> </mml:math> ) and pseudo-spectral acceleration ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>PSA</mml:mi> </mml:mrow> </mml:math> ), are computed. These residuals are further disaggregated into components associated with specific seismological characteristics: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Source</mml:mi> </mml:mrow> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Site</mml:mi> </mml:mrow> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Path</mml:mi> </mml:mrow> </mml:math> . Regression analyses are conducted to develop empirical equations for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Source</mml:mi> </mml:mrow> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Site</mml:mi> </mml:mrow> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mi>δ</mml:mi> <mml:mi>Path</mml:mi> </mml:mrow> </mml:math> based on the calculated residuals. These correction terms are subsequently integrated into the existing GMM to establish the improved model. A practical example is provided to illustrate the application of the proposed GMM. The accuracy and reliability of the improved model are validated by comparing the observed IM values with those predicted by the proposed GMM.

Earthquake SpectraVol. 41(5)
Hanyang University (KR)
Openalex Percentile: Top 71%
Seismic Performance and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.