Crustal thickness estimation in Indonesia using receiver function method

Fauzi, M.F. and Anggraini, A. and Riyanto, A. and Ngadmanto, D. and Suryanto, W. (2021) Crustal thickness estimation in Indonesia using receiver function method. In: The 3rd Southeast Asian Conference on Geophysics.

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Abstract

The existence of seismic wave velocity difference in the Earth crust and mantle creates the possibility to use earthquake data for estimating the crustal thickness utilizing the Ps conversion phase in the boundary. The radial component signal was deconvolved from the vertical component in the frequency domain to estimate receiver function for Indonesia region. We implemented the water level deconvolution techniques with a Gaussian filter of 2.5 Hz to eliminate the high frequency noise in the receiver function. The H-k stacking technique was performed to all receiver functions from each event to predict the crustal thickness and the Vp/Vs ratio below the stations. We analyzed ten azimuthally distributed teleseismic earthquakes recorded by 108 stations of BMKG. The result shows that the crustal thickness in Indonesia varies from 20 to 39.9 km. The western part of Sumatera, northern part of Sulawesi Island, and North Maluku region show generally thinner crust with value about 20 to 25 km. The North Sumatera, Central Java, and East Java show a considerably thicker crust of up to 36 km. Furthermore, our result also reveals a difference of crustal thickness about 5 km with the previous studies. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 6; Conference name: 3rd Southeast Asian Conference on Geophysics: Future Challenges and Opportunities in Geophysics, SEACG 2020; Conference date: 3 November 2020 through 5 November 2020; Conference code: 173390; All Open Access, Gold Open Access
Subjects: Q Science > QC Physics
Divisions: Faculty of Engineering > Nuclear and Physics Engineering Department
Depositing User: Sri JUNANDI
Date Deposited: 08 Oct 2024 06:56
Last Modified: 08 Oct 2024 06:56
URI: https://ir.lib.ugm.ac.id/id/eprint/5152

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