Seismic Site Characterization and Vs30 Mapping in Semarang City, Indonesia using Multichannel Analysis of Surface Waves

Semarang, Indonesia, is a densely populated city with high seismicity due to active fault zones such as the Semarang and Ungaran faults. Local site characterization is essential for seismic hazard assessment and as a reference for urban development. This study applied the Multichannel Analysis of Surface Waves (MASW) method at 140 locations across Semarang to estimate shear wave velocity (Vs) structure and calculate the average shear wave velocity in the upper 30 m (Vs30). Data acquisition was conducted by using a 24‐channel linear array with 2‐m geophone spacing and a 10 kg sledgehammer source. The results reveal distinct spatial variations in site conditions. Based on NEHRP Site Classification, the southern part of Semarang is primarily classified as Site Class D (medium soils), while the northern part is dominated by softer soils, classified as Site Class E (Soft soil). These results correlate well with borehole data and local geology, confirming the reliability of MASW for seismic site characterization. The areas that consist of soft soils will be more vulnerable to seismic wave amplification, which causes greater seismic risk. This study provides crucial input for the development of seismic microzonation, building code refinement, and seismic risk reduction programs in Semarang city. The methodology and findings can also serve as a reference for other urban areas with similar geological and seismic settings.

Authors

Institutions

Publication Details

Journal
New Zealand Journal of Geology and Geophysics
Published
2026-01-16
DOI
https://doi.org/10.1002/jgo2.70021
Primary Topic
Seismic Waves and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seismic Site Characterization and Vs30 Mapping in Semarang City, Indonesia using Multichannel Analysis of Surface Waves

Yoga Dharma Persada, M Sulthonur Ridwan, Zulfakriza Zulfakriza, Bambang Setiyo Prayitno et al.
New Zealand Journal of Geology and Geophysics
Seismic Waves and Analysis
article

Seismic Site Characterization and Vs30 Mapping in Semarang City, Indonesia using Multichannel Analysis of Surface Waves

Yoga Dharma Persada, M Sulthonur Ridwan, Zulfakriza Zulfakriza, Bambang Setiyo Prayitno, Edy Santoso, Andri Dian Nugraha
article en

Abstract

Semarang, Indonesia, is a densely populated city with high seismicity due to active fault zones such as the Semarang and Ungaran faults. Local site characterization is essential for seismic hazard assessment and as a reference for urban development. This study applied the Multichannel Analysis of Surface Waves (MASW) method at 140 locations across Semarang to estimate shear wave velocity (Vs) structure and calculate the average shear wave velocity in the upper 30 m (Vs30). Data acquisition was conducted by using a 24‐channel linear array with 2‐m geophone spacing and a 10 kg sledgehammer source. The results reveal distinct spatial variations in site conditions. Based on NEHRP Site Classification, the southern part of Semarang is primarily classified as Site Class D (medium soils), while the northern part is dominated by softer soils, classified as Site Class E (Soft soil). These results correlate well with borehole data and local geology, confirming the reliability of MASW for seismic site characterization. The areas that consist of soft soils will be more vulnerable to seismic wave amplification, which causes greater seismic risk. This study provides crucial input for the development of seismic microzonation, building code refinement, and seismic risk reduction programs in Semarang city. The methodology and findings can also serve as a reference for other urban areas with similar geological and seismic settings.

New Zealand Journal of Geology and GeophysicsVol. 69(1)
Bandung Institute of Technology (ID), Meteorological, Climatological, And Geophysical Agency (ID), National Nuclear Energy Agency of Indonesia (ID)
Sustainable cities and communities
Openalex Percentile: Top 90%
Seismic Waves 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.