Estimation of S-wave Velocity Structure for Sedimentary Layered Media Using Microtremor Array Measurements in Palu City, Indonesia

Thein, Pyi Soe; Pramumijoyo, Subagyo; Brotopuspito, Kirbani Sri; Kiyono, Junji; Wilopo, Wahyu; Furukawa, Aiko; Setianto, Agung; Putra, Rusnardi Rahmat

doi:10.1016/j.proenv.2015.07.070

Cited by 20 publications

(13 citation statements)

References 3 publications

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“…The western side has a smaller grain size because it is farther from the source of the materials, as suggested by Marjiyono (2016a). The features of the diminishing thickness in the alluvium deposit and the increasing trend of Vs upon getting farther from the coast is also observed in other cities in Indonesia with similar situations and lithologies in the topmost layer (e.g., Thein et al, 2015;Ridwan et al, 2019), indicating that these features are characteristic of cities located in coastal areas and areas with alluvium deposits.…”

Section: Discussionsupporting

confidence: 60%

Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia

et al. 2020

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Because of its robustness and practicality, the Horizontal-to-Vertical Spectral Ratio (HVSR) method has been widely used to obtain subsurface structure, mainly the sediment thickness that resides over bedrock. The method uses Fourier Transform to obtain frequency spectrum and calculate the H/V ratio. However, the conventional Fourier Transform method has some limitations; e.g., the inability to remove local noises that are very common in microtremor recordings. In this study, we investigate the application of the Hilbert-Huang Transform (HHT), in obtaining the HVSR curve, and compare it to the conventional method in terms of its effectiveness in removing local noise through the inversion results of HVSR curves. Such a comparison has never been conducted before. We used data from a microtremor survey in Mataram City, Lombok Island, Indonesia which experienced a series of destructive earthquakes in 2018. The results show that the S-wave velocity structure derived from the inversion process of the HHT-HVSR curves is in better agreement with the previous study of Mataram City than the conventional method. Furthermore, the resulting S-wave velocity structure is also interpreted based on geological reference, giving new insights into the subsurface structure beneath Mataram City.

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Section: Discussionsupporting

confidence: 60%

Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia

et al. 2020

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“…Second, Central and Southeast Sulawesi mainly consisting of rocks from the early Cretaceous era. Thrid, East Sulawesi ophiolitic nappe covered Mesozoic and Paleozoic era sedimentary rocks [5].…”

Section: Disaster Vulnerabilitymentioning

confidence: 99%

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

Rifai¹

2022

Artificial Intelligence

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Natural disasters can occur anytime and anywhere, especially in areas with high disaster risk. The earthquake that followed the tsunami and liquefaction in Palu, Indonesia, at the end of 2018 had caused tremendous damage. In recent years, rehabilitation and reconstruction projects have been implemented to restore the situation and accelerate economic growth. A study is needed to determine whether the rehabilitation and reconstruction that has been carried out for three years have met community satisfaction. The results of further analysis are expected to predict the level of community satisfaction for the implementation of rehabilitation and other reconstruction. The method used in this paper is predictive modeling using a data mining (DM) approach. Data were collected from all rehabilitation and reconstruction activities in Palu, Sigi, and Donggala with the scope of the earthquake, tsunami, and liquefaction disasters. The analysis results show that the Artificial Neural Network (ANN) and the support vector machine (SVM) with a DM approach can develop a community satisfaction prediction model to implement rehabilitation and reconstruction after the earthquake-tsunami and liquefaction disasters.

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“…The largest historic event in the Mandalay area i.e. March 23, 1839 Innwa earthquake and July 16,1956 Sagaing earthquake must have originated from huge sagaing strike-slip fault. Innwa earthquake affected cities comprise Innwa, Amarapura and Mandalay.…”

Section: Seismological Settingmentioning

confidence: 99%

“…If each value of the predominant period obtained is considered to be a realization of a stochastic random field. Space interpolation is conducted by ordinary Kriging technique [14][15][16].…”

Section: Predominant Periodsmentioning

confidence: 99%

Seismic Microzonation of Mandalay City, Myanmar

Thein¹,

Kiyono²,

Win³

et al. 2018

JGRE

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Understanding the parameters of PGA (peak ground acceleration) is very important for seismic hazard mitigation and environmental planning in Mandalay City, Myanmar. In this study, fifty SPTs (Standard Penetration Tests) measurement data were collected in Mandalay City, for calculating average shear velocity Vs 30 , which will be used in seismic microzonation mapping. The shear wave velocity Vs 30 of the top layer is Vs 30 ≤ 220 m/s. The ground motion characteristic was estimated by means of the predominant periods and linear magnification factors obtained using the multiple reflection analysis. The highest potential zone of seismic hazard mostly locates the north western marginal part of Mandalay city, in the proximal portion to the dextral Sagaing fault.

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Estimation of S-wave Velocity Structure for Sedimentary Layered Media Using Microtremor Array Measurements in Palu City, Indonesia

Cited by 20 publications

References 3 publications

Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia

Investigation of Hilbert–Huang Transform and Fourier Transform for Horizontal-to-Vertical Spectral Ratio Analysis: Understanding the Shallow Structure in Mataram City, Lombok, Indonesia

Data Mining Applied for Community Satisfaction Prediction of Rehabilitation and Reconstruction Project (Learn from Palu Disasters)

Seismic Microzonation of Mandalay City, Myanmar

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