MASW-Based Shear Wave Velocities for Predicting Liquefaction-Induced Sand Boils Caused by the 2017 M5.4 Pohang, South Korea Earthquake

Ji, Yumin; Seo, Hwanwoo; Kang, Sinhang; Kim, Hansaem; Kim, Jong-Kwan; Kim, Byungmin

doi:10.1061/(asce)gt.1943-5606.0002738

Cited by 7 publications

(2 citation statements)

References 41 publications

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“…We carried out Vs30 measurements using the Multichannel Analysis of Surface Wave (MASW) method in areas affected by liquefaction in Balaroa, Petobo, Jono Oge, and Palu to determine the site characteristics and make a liquefaction analysis [22,23]. MASW utilizes surface wave propagation (Love and Rayleigh) to determine the characteristics of subsurface conditions.…”

Section: Methodsmentioning

confidence: 99%

Investigation of Liquefaction in Balaroa, Petobo, and Jonooge (Central Sulawesi, Indonesia) Caused by the 2018 Palu Earthquake Sequence

Triyono,

Widiyantoro,

Zulfakriza

et al. 2024

J. Eng. Technol. Sci.

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The liquefaction that occurred in the city of Palu on September 28, 2018, was caused by a series of significant earthquakes that took place in a relatively short time around 25 minutes after the main earthquake of magnitude 7.5. This event was followed by aftershocks of magnitudes 6.4, 6.2, and 6.1. The magnitude 6.2 aftershock occurred at 10.16 UTC, while the magnitude 6.1 aftershock occurred at 10.25 UTC. These were both located very close to the liquefaction locations in Balaroa, Petobo, and Jono Oge. We investigated the mainshock and the three aftershocks using the NCEER method based on Vs30 measurements and data from the drill liquefaction locations at Balaroa, Petobo, and Jono Oge. We found that the liquefaction was not only caused by the main earthquake but also by the subsequent aftershocks that occurred within 25 minutes after the mainshock.

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Section: Methodsmentioning

confidence: 99%

Investigation of Liquefaction in Balaroa, Petobo, and Jonooge (Central Sulawesi, Indonesia) Caused by the 2018 Palu Earthquake Sequence

Triyono,

Widiyantoro,

Zulfakriza

et al. 2024

J. Eng. Technol. Sci.

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“…Kim et al (2021) utilized borehole data in Pohang city to estimate liquefaction potential indices (LPIs) and liquefaction severity numbers (LSNs). Ji et al (2022) measured shear-wave velocities using the multi-channel analyses of surface waves (MASW) to estimate LPIs in Pohang city due to the Pohang earthquake.…”

Section: Introductionmentioning

confidence: 99%

Soil liquefaction potential assessment using ambient noise: A case study in Pohang, Korea

Kang

Kim²,

Gihm³

et al. 2022

Front. Earth Sci.

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An MW 5.5 earthquake occurred in Pohang, Korea, on 15 November 2017 and caused large damage. In and around the epicentral area the earthquake also remained numerous sand boils, which is a surface representation of soil liquefaction at shallow depth during the earthquake. Soil liquefaction is one of the most dangerous consequences of an earthquake. Here we show that the spatial distribution of the ground vulnerability index (Kg), which we estimate via ambient noise analysis, correlates very well with the distribution of sand boils. Our Kg model based on the dense microtremor surveys at differing geological conditions and urbanizations indicates that only 28.4% of the study area is vulnerable to ground shaking (Kg > 20), with 91.1% of the observed sand boils occurring in these vulnerable areas. We also observed that Kg values estimated in the study correlate well with both VS30 values and geologic units in the study area. This case report confirmed that the Kg can be an affordable supplement to traditional, but expensive and time-consuming, geotechnical/geophysical techniques for the initial screening and regional evaluations. Such a Kg map can assist stakeholders in earthquake-prone regions in identifying areas more susceptible to liquefaction and bring a recommendation to consider seismic hazard mitigation.

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Empirical formulas for shear wave velocity prediction and their uncertainties: a case study of thirteen alluvium test sites in the Taipei Basin

Wang

Hwang²,

Lu³

et al. 2022

Bull Eng Geol Environ

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MASW-Based Shear Wave Velocities for Predicting Liquefaction-Induced Sand Boils Caused by the 2017 M5.4 Pohang, South Korea Earthquake

Cited by 7 publications

References 41 publications

Investigation of Liquefaction in Balaroa, Petobo, and Jonooge (Central Sulawesi, Indonesia) Caused by the 2018 Palu Earthquake Sequence

Investigation of Liquefaction in Balaroa, Petobo, and Jonooge (Central Sulawesi, Indonesia) Caused by the 2018 Palu Earthquake Sequence

Soil liquefaction potential assessment using ambient noise: A case study in Pohang, Korea

Empirical formulas for shear wave velocity prediction and their uncertainties: a case study of thirteen alluvium test sites in the Taipei Basin

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