Analysis of Ground Shear Strain (GSS) In Mapping, Liquefaction Vulnerability Potential Using HVSR (Horizontal To Vertical Spectral Ratio) Method. Case Study: Sepaku Subdistrict, North Penajam Paser Regency, East Kalimantan

Abstract

East Kalimantan has been designated as the new Capital Province of Indonesia. The criteria for determining the relocation of the nation's capital have passed various studies in the placement of a new state capital, one of which is by reviewing disaster aspects such as the risk of earthquakes, volcanoes and tsunamis. Based on historical records of earthquakes that have occurred, East Kalimantan is not a completely safe area from potential earthquakes or tsunamis. By using the HVSR method, the authors tried to determine the value of Ground Shear Strain (GSS) in the research area, namely Sepaku District, Penajam Paser Utara Regency. The result show that there were three zones namely Zona A, Zone B and Zone C had GSS values in Sepaku Subdistrict with landslides, soil compaction and liquefaction potential, namely 0.4 - 0.54. The result of HVSR interpretation curve are based on the phenomenon of the resulting ground shear strain value in accordance with the geological conditions in the research area of the Sepaku Subdistrict, Penajam Paser Utara Regency, East Kalimantan in characterizing the soil profile in the study area.

Assessing soil vulnerability in Petobo post-liquefaction zone, Palu, Central Sulawesi: A microzonation study utilizing microtremor measurements

“…The HVSR method is an efficient, cost-effective, and environmentally friendly method that analyzes the horizontal to vertical components of seismic signals to determine the dominant earth vibration frequency. This information can be used to identify sediment thickness, amplification factors, and GSS values, which are important for understanding environmental aspects such as natural disaster mitigation and city planning (Kusuma and Sanny, 2022;Fazriati et al, 2023;Ghione et al, 2023). The HVSR approach may also be utilized as an autonomous monitoring tool that is sensitive to S-wave changes and can give useful information for seismic engineering applications (Carpenter et al, 2018;Anbazhagan et al, 2019;Seivane et al, 2022).…”