Estimation of Shear Wave Velocity Using Horizontal to Vertical Spectrum Ratio (HVSR) Inversion to Identify Faults in Pacitan

A. Haryono; A. Haryono; M. A. Caesardi; B. J. Santosa; F. Syaifuddin; A. Widodo

doi:10.1088/1755-1315/506/1/012051

Estimation of Shear Wave Velocity Using Horizontal to Vertical Spectrum Ratio (HVSR) Inversion to Identify Faults in Pacitan

A. Haryono^*, A. Haryono^*, Sungkono, M. A. Caesardi, B. J. Santosa, F. Syaifuddin, A. Widodo

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Pacitan is one of the cities in Indonesia which is located around a subduction zone with many faults. Grindulu Fault is one of the active faults in Pacitan. In order to mitigate hazard in the area, detailed information about the existence and characteristic of the fault is needed. Thus, imaging of Grindulu Fault using shear wave velocity (Vs) was carried out. 1-D of Vs was revealed by inversion of HVSR from microtremor data using the Monte Carlo algorithm. Furthermore, several Vs were processed using interpolation approach to determine two-dimensional (2-D) cross-section of Vs. Based on the contrast of Vs and considering the geological conditions in Pacitan area, the existence of Grindulu Fault and other faults were identified.

Original language	English
Article number	012051
Journal	IOP Conference Series: Earth and Environmental Science
Volume	506
Issue number	1
DOIs	https://doi.org/10.1088/1755-1315/506/1/012051
Publication status	Published - 10 Jun 2020
Event	Joint International Conference on Civil, Environmental, and Geo Engineering 2019, JIC-CEGE 2019 - Surabaya, Indonesia Duration: 1 Oct 2019 → 2 Oct 2019

Keywords

Grindulu Fault
HVSR inversion
Shear wave velocity

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10.1088/1755-1315/506/1/012051

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title = "Estimation of Shear Wave Velocity Using Horizontal to Vertical Spectrum Ratio (HVSR) Inversion to Identify Faults in Pacitan",

abstract = "Pacitan is one of the cities in Indonesia which is located around a subduction zone with many faults. Grindulu Fault is one of the active faults in Pacitan. In order to mitigate hazard in the area, detailed information about the existence and characteristic of the fault is needed. Thus, imaging of Grindulu Fault using shear wave velocity (Vs) was carried out. 1-D of Vs was revealed by inversion of HVSR from microtremor data using the Monte Carlo algorithm. Furthermore, several Vs were processed using interpolation approach to determine two-dimensional (2-D) cross-section of Vs. Based on the contrast of Vs and considering the geological conditions in Pacitan area, the existence of Grindulu Fault and other faults were identified.",

keywords = "Grindulu Fault, HVSR inversion, Shear wave velocity",

author = "A. Haryono and A. Haryono and Sungkono and Caesardi, {M. A.} and Santosa, {B. J.} and F. Syaifuddin and A. Widodo",

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AU - Haryono, A.

AU - Sungkono,

AU - Caesardi, M. A.

AU - Santosa, B. J.

AU - Syaifuddin, F.

AU - Widodo, A.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/6/10

Y1 - 2020/6/10

N2 - Pacitan is one of the cities in Indonesia which is located around a subduction zone with many faults. Grindulu Fault is one of the active faults in Pacitan. In order to mitigate hazard in the area, detailed information about the existence and characteristic of the fault is needed. Thus, imaging of Grindulu Fault using shear wave velocity (Vs) was carried out. 1-D of Vs was revealed by inversion of HVSR from microtremor data using the Monte Carlo algorithm. Furthermore, several Vs were processed using interpolation approach to determine two-dimensional (2-D) cross-section of Vs. Based on the contrast of Vs and considering the geological conditions in Pacitan area, the existence of Grindulu Fault and other faults were identified.

AB - Pacitan is one of the cities in Indonesia which is located around a subduction zone with many faults. Grindulu Fault is one of the active faults in Pacitan. In order to mitigate hazard in the area, detailed information about the existence and characteristic of the fault is needed. Thus, imaging of Grindulu Fault using shear wave velocity (Vs) was carried out. 1-D of Vs was revealed by inversion of HVSR from microtremor data using the Monte Carlo algorithm. Furthermore, several Vs were processed using interpolation approach to determine two-dimensional (2-D) cross-section of Vs. Based on the contrast of Vs and considering the geological conditions in Pacitan area, the existence of Grindulu Fault and other faults were identified.

KW - Grindulu Fault

KW - HVSR inversion

KW - Shear wave velocity

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U2 - 10.1088/1755-1315/506/1/012051

DO - 10.1088/1755-1315/506/1/012051

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VL - 506

JO - IOP Conference Series: Earth and Environmental Science

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T2 - Joint International Conference on Civil, Environmental, and Geo Engineering 2019, JIC-CEGE 2019

Y2 - 1 October 2019 through 2 October 2019

ER -

Estimation of Shear Wave Velocity Using Horizontal to Vertical Spectrum Ratio (HVSR) Inversion to Identify Faults in Pacitan

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Keywords

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