ANALYSIS OF SHEAR WAVES VELOCITY (VS) USING HILBERT-HUANG TRANSFORM ON HORIZONTAL TO VERTICAL SPECTRAL RATIO (HVSR) METHOD IN MAMUJU, WEST SULAWESI
Mamuju, which is the capital city of West Sulawesi, has the potential to have high losses due to earthquakes due to geological conditions dominated by alluvial deposits which are soft soil types and has a relatively dense population of 293,326 people and is likely to continue to grow given its...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/81784 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Mamuju, which is the capital city of West Sulawesi, has the potential to have high
losses due to earthquakes due to geological conditions dominated by alluvial
deposits which are soft soil types and has a relatively dense population of 293,326
people and is likely to continue to grow given its location as the provincial capital.
The earthquakes that occurred on 15 January 2021 and 8 June 2022 which caused
significant damage can be evidence of the influence of geological conditions on
earthquake damage. The results of a survey conducted by the Meteorology
Climatology and Geophysics Agency (BMKG) show that the impact of the two
earthquakes included 1016 fatalities and 7923 buildings damaged. Apart from the
two earthquakes that occurred in 2021 and 2022, there have been several other
earthquakes that have caused significant damage in the last three decades. The 7.0
magnitude earthquake that occurred on 08 January 1984 caused casualties and
many buildings collapsed, both residential houses and government agency
buildings. On 18 August 2012 Mamuju was also affected by an earthquake with a
magnitude of 6.2. The earthquake resulted in loss of life and building infrastructure
in Mamuju. To reduce the potential damage induced by future earthquakes, it is
necessary to analyse seismic vulnerability and seismicity risk through shear wave
velocity profiles at the location. In this study, the Horizontal to Vertical Spectral
Ratio (HVSR) method was applied to analyse microtremor data in Mamuju.
Microtremor data were obtained from direct measurements after the 15 January
2021 and 8 June 2022 earthquakes occurred. The microtremor data obtained can
be contaminated with local noise because the survey location is a densely populated
area and is carried out during the day. Hilbert Huang Transform (HHT) is used in
this study to eliminate local noise. This method has been shown to be more effective
in eliminating local noise than using the Fast Fourier Transform (FFT) in the
Horizontal to Vertical Spectral Ratio (HVSR) method. The resulting HVSR curves
were inversed to obtain shear wave velocity (Vs) profiles. The inversion process in
this study is based on the Neighbourhood Algorithm method so that the shear wave
velocity profile (Vs) at each point is known. The shear wave profile (Vs) values
obtained were used to determine the dynamic response of the soil in Mamuju and
the results were compared with damage data from the 2021 and 2022 earthquakes.
The results of the study generally showed agreement with the survey data after the
2021 and 2022 Mamuju earthquakes where heavy damage occurred in the red zone
and light to moderate damage occurred in the yellow to green zones. Classification
of soil types in Mamuju based on Vs30 values shows that Mamuju is composed of
medium soil types (SD) and hard soil types (SC) with medium soil types (SD)
dominating the study area. The depth of bedrock in Mamuju shows that the western
region of Mamuju has the deepest bedrock of 330 m (thick sediment) and the eastern
region has the deepest bedrock of 200m. We also made subsurface vertical crosssections of Mamuju with North - South and West - East trajectories. The vertical
cross section was used to interpret the subsurface profile in Mamuju, the result is
that Mamuju is composed of three rock formations, namely alluvial deposits in the
uppermost layer, the Mamuju formation which underlies the alluvial deposits and
the Adang Volcanic Rock formation which is the hardest rock formation in the study
area. This result is based on velocity contrast matched with the geology of the study
area.
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