Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes

Detection of seismic events at or below the noise level is enabled by the use of dense arrays of receivers and corresponding advances in data analysis methods. It is not only important to detect tectonic events, but also events from man-made, non-earthquake sources and events that originate from cou...

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Main Authors: Lythgoe, Karen H., Loasby, Aidan, Hidayat, Dannie, Wei, Shengji
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/147582
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1475822021-04-17T20:11:08Z Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes Lythgoe, Karen H. Loasby, Aidan Hidayat, Dannie Wei, Shengji Asian School of the Environment Earth Observatory of Singapore Science::Geology::Volcanoes and earthquakes Seismic Nodal Array Spectral Stacking Earthquake Detection Detection of seismic events at or below the noise level is enabled by the use of dense arrays of receivers and corresponding advances in data analysis methods. It is not only important to detect tectonic events, but also events from man-made, non-earthquake sources and events that originate from coupling between the solid Earth and the atmosphere. In urban environments with high ambient noise levels the effectiveness of event detection methods is unclear, particularly when deployment restrictions result in an irregular receiver array geometry. Here we deploy a dense nodal array for 1 month in the highly populated city state of Singapore. We develop a new detection method based on image processing that we call spectrogram stacking, which detects anomalous, coherent spectral energy across the array. It simultaneously detects multiple classes of signal with differing spectral content and aids event classification, so it is particularly useful for signal exploration when signal characteristics are unknown. Our approach detects more local events compared to the traditional STA/LTA and waveform similarity methods, while all methods detect similar numbers of teleseismic and regional earthquakes. Local events are principally man-made non-earthquake sources, with several events from the same location exhibiting repeating waveforms. The closest earthquake occurs in peninsular Malaysia, in an area where no earthquakes have previously been detected. We also detect ground motion over a wide frequency range from discrete thunder events which show complex coupling between acoustic and elastic wavefield propagation. We suggest that care should be taken deciphering local high-frequency tectonic events in areas prone to thunder storms. Published version 2021-04-14T02:56:19Z 2021-04-14T02:56:19Z 2021 Journal Article Lythgoe, K. H., Loasby, A., Hidayat, D. & Wei, S. (2021). Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes. Geophysical Journal International. https://dx.doi.org/10.1093/gji/ggab135 0956-540X https://hdl.handle.net/10356/147582 10.1093/gji/ggab135 en Geophysical Journal International © 2021 The Author(s). Published by Oxford University Press on behalf of The Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Geology::Volcanoes and earthquakes
Seismic Nodal Array
Spectral Stacking Earthquake Detection
spellingShingle Science::Geology::Volcanoes and earthquakes
Seismic Nodal Array
Spectral Stacking Earthquake Detection
Lythgoe, Karen H.
Loasby, Aidan
Hidayat, Dannie
Wei, Shengji
Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
description Detection of seismic events at or below the noise level is enabled by the use of dense arrays of receivers and corresponding advances in data analysis methods. It is not only important to detect tectonic events, but also events from man-made, non-earthquake sources and events that originate from coupling between the solid Earth and the atmosphere. In urban environments with high ambient noise levels the effectiveness of event detection methods is unclear, particularly when deployment restrictions result in an irregular receiver array geometry. Here we deploy a dense nodal array for 1 month in the highly populated city state of Singapore. We develop a new detection method based on image processing that we call spectrogram stacking, which detects anomalous, coherent spectral energy across the array. It simultaneously detects multiple classes of signal with differing spectral content and aids event classification, so it is particularly useful for signal exploration when signal characteristics are unknown. Our approach detects more local events compared to the traditional STA/LTA and waveform similarity methods, while all methods detect similar numbers of teleseismic and regional earthquakes. Local events are principally man-made non-earthquake sources, with several events from the same location exhibiting repeating waveforms. The closest earthquake occurs in peninsular Malaysia, in an area where no earthquakes have previously been detected. We also detect ground motion over a wide frequency range from discrete thunder events which show complex coupling between acoustic and elastic wavefield propagation. We suggest that care should be taken deciphering local high-frequency tectonic events in areas prone to thunder storms.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Lythgoe, Karen H.
Loasby, Aidan
Hidayat, Dannie
Wei, Shengji
format Article
author Lythgoe, Karen H.
Loasby, Aidan
Hidayat, Dannie
Wei, Shengji
author_sort Lythgoe, Karen H.
title Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
title_short Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
title_full Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
title_fullStr Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
title_full_unstemmed Seismic event detection in urban Singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
title_sort seismic event detection in urban singapore using a nodal array and frequency domain array detector : earthquakes, blasts and thunderquakes
publishDate 2021
url https://hdl.handle.net/10356/147582
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