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<p>This study aims to identify earthquake disaster risk zones based on peak ground acceleration (PGA), seismic vulnerability index (SVI), ground shear strain (GSS), and shear wave velocity in an active tectonic zone, Kepahiang Regency, Bengkulu, Indonesia, which is is located at the confluence zone of the Indo-Australian and Eurasian plates, with the Sumatran Fault (Musi Segment). Field survey data is used to obtain predominant frequency and amplification factors that correlate with the seismic vulnerability index and shear wave velocity. Secondary data helps obtain peak ground acceleration and ground shear strain. Microtremor recordings were analyzed using HVSR Win-MASW 5.2 software to determine the <i>f</i><sub>0</sub> and <i>A</i><sub>0</sub> as inversion input parameters in Hv-Inv software. Results show that areas with high earthquake risk have high PGA, GSS, and SVI values but low shear wave velocities. Unsafe zones from earthquake threats are areas with soft soil characteristics. Vs less than 175&#xa0;m/s is generally found in these unsafe zones. PGA values more than 0.79&#xa0;g could occur in this hazardous zone. The results also show that SVI of more than 10 and GSS of more than 10<sup>–3</sup> indicate a potential high-risk seismic damage.</p>

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Seismic microzonation of kepahiang regency, Indonesia using the HVSR method: enhancing Urban resilience to mitigate earthquake vulnerability

  • 期刊论文

  • 发表日期：

    2025年6月23日

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  • Arif Ismul Hadi,
  • M. Farid,
  • Lindung Zalbuin Mase,
  • Refrizon,
  • Kemas Bayu Aditya,
  • Darmawan Ikhlas Fadli,
  • Erlan Sumanjaya

摘要

This study aims to identify earthquake disaster risk zones based on peak ground acceleration (PGA), seismic vulnerability index (SVI), ground shear strain (GSS), and shear wave velocity in an active tectonic zone, Kepahiang Regency, Bengkulu, Indonesia, which is is located at the confluence zone of the Indo-Australian and Eurasian plates, with the Sumatran Fault (Musi Segment). Field survey data is used to obtain predominant frequency and amplification factors that correlate with the seismic vulnerability index and shear wave velocity. Secondary data helps obtain peak ground acceleration and ground shear strain. Microtremor recordings were analyzed using HVSR Win-MASW 5.2 software to determine the f0 and A0 as inversion input parameters in Hv-Inv software. Results show that areas with high earthquake risk have high PGA, GSS, and SVI values but low shear wave velocities. Unsafe zones from earthquake threats are areas with soft soil characteristics. Vs less than 175 m/s is generally found in these unsafe zones. PGA values more than 0.79 g could occur in this hazardous zone. The results also show that SVI of more than 10 and GSS of more than 10–3 indicate a potential high-risk seismic damage.