Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array
Geophysics has a role to play in the development of “smart cities”. This is particularly true for Singapore, one of the world's most densely populated countries. Imaging of Singapore's subsurface is required to identify geological faults, model shaking from future earthquakes, and provide...
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sg-ntu-dr.10356-1439022021-01-18T04:50:17Z Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array Lythgoe, Karen H. Ong, Miranda Su Qing Wei, Shengji Earth Observatory of Singapore Engineering::Environmental engineering Seismology Seismic Nodes Geophysics has a role to play in the development of “smart cities”. This is particularly true for Singapore, one of the world's most densely populated countries. Imaging of Singapore's subsurface is required to identify geological faults, model shaking from future earthquakes, and provide a framework for underground development. A noninvasive geophysical technique that is well suited for urban areas is passive seismic surveys using compact seismic instruments called nodes. Here we image Singapore's crustal structure using receiver functions generated by a 40‐day deployment of a 88 station nodal array. We generate high resolution receiver functions, despite the noisy environment and short recording time and also create common‐conversion point images. Our results reveal a complex crustal structure, containing multiple discontinuities. Azimuthal variations indicate a distinct change in crustal structure on either side of the postulated Bukit Timah fault, which has implications for seismic hazard. Ministry of Education (MOE) National Research Foundation (NRF) Published version We thank the Meteorological Service of Singapore for maintaining the four permanent seismic stations and for assistance with deploying nodes. We would also like to thank the following Singapore agencies for assistance in data acquisition: NParks, Ministry of Education and the Public Utilities Board. We thank the Centre for Geohazard Observation at NTU, along with all other field assistants for their help with the field survey, particularly Jeffrey Encillo, Choong Yew Leong, Weiwen Chen, and Mark Lim. We thank Kyle Bradley for useful discussions on Singapore's geology and Wang Xin for assistance with receiver functions. Figures were made using GMT (Wessel et al., 2013). Node data for the earthquakes used here and their receiver functions are available at the Nanyang Technological University data repository (https://doi.org/10.21979/N9/UW24OZ). Broadband data were downloaded from the IRIS Data Management Center. We thank Patricia Persaud and an anonymous reviewer for their useful comments that greatly improved the manuscript.This work comprises Earth Observatory of Singapore contribution no. 292. This research is partly supported by the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative (Project Code Number: M4430298.B50.706022). Karen Lythgoe is funded by an NTU Presidential Fellowship. 2020-09-30T07:11:50Z 2020-09-30T07:11:50Z 2020 Journal Article Lythgoe, K. H., Ong, M. S. Q., & Wei, S. (2020). Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array. Geophysical Research Letters, 47(7), e2020GL087233-. doi:10.1029/2020gl087233 0094-8276 https://hdl.handle.net/10356/143902 10.1029/2020gl087233 7 47 en Geophysical Research Letters https://doi.org/10.21979/N9/UW24OZ © 2020 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. application/pdf |
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Engineering::Environmental engineering Seismology Seismic Nodes Lythgoe, Karen H. Ong, Miranda Su Qing Wei, Shengji Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
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Geophysics has a role to play in the development of “smart cities”. This is particularly true for Singapore, one of the world's most densely populated countries. Imaging of Singapore's subsurface is required to identify geological faults, model shaking from future earthquakes, and provide a framework for underground development. A noninvasive geophysical technique that is well suited for urban areas is passive seismic surveys using compact seismic instruments called nodes. Here we image Singapore's crustal structure using receiver functions generated by a 40‐day deployment of a 88 station nodal array. We generate high resolution receiver functions, despite the noisy environment and short recording time and also create common‐conversion point images. Our results reveal a complex crustal structure, containing multiple discontinuities. Azimuthal variations indicate a distinct change in crustal structure on either side of the postulated Bukit Timah fault, which has implications for seismic hazard. |
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Earth Observatory of Singapore |
author_facet |
Earth Observatory of Singapore Lythgoe, Karen H. Ong, Miranda Su Qing Wei, Shengji |
format |
Article |
author |
Lythgoe, Karen H. Ong, Miranda Su Qing Wei, Shengji |
author_sort |
Lythgoe, Karen H. |
title |
Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
title_short |
Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
title_full |
Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
title_fullStr |
Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
title_full_unstemmed |
Large‐scale crustal structure beneath Singapore using receiver functions from a dense urban nodal array |
title_sort |
large‐scale crustal structure beneath singapore using receiver functions from a dense urban nodal array |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/143902 https://doi.org/10.21979/N9/UW24OZ |
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1690658389575598080 |