Earthquake precursory events in geophysical time-series: use of the Hilbert transform for the detection of simultaneous phase-synchronisation anomalies in paired time-series

Robin G M Crockett, Gavin K Gillmore

Research output: Contribution to conference typesPoster

Abstract

In previous studies (e.g. Crockett et al., 2006; Crockett & Gillmore, 2009 & 2010; Crockett, 2012), we have investigated simultaneously recorded radon time-series for synchronised anomalies that occurred before, during and after UK earthquakes in 2002 and 2008. However, whilst successful in identifying such anomalies in closed time-series, the approaches we have used previously have not shown good potential for (near) real-time detection in actively monitored systems. In this presentation and developing from that earlier work, we report an updated approach using the Hilbert transform which is potentially capable of being used on a closer to real-time basis than the approaches we have adopted previously. The Hilbert transform is rapidly computable via the Fast Fourier Transform (FFT) and the analytic signal thus obtained provides a basis for separating high- and low- frequency information, via the instantaneous phase and envelope, which helps reveal synchronised anomalies. If realisable and robust for the underlying geologies in question, a technique based on this approach has the potential for incorporation into an earthquake early-warning system.
Original languageEnglish
Publication statusPublished - 9 Apr 2018
EventEuropean Geosciences Union (EGU) General Assembly 2018 - Vienna, Austria
Duration: 9 Apr 201811 Apr 2018
https://www.egu2018.eu/
https://egu2018.eu/

Conference

ConferenceEuropean Geosciences Union (EGU) General Assembly 2018
Period9/04/1811/04/18
Internet address

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earthquake event
transform
time series
anomaly
earthquake
early warning system
radon
Fourier transform
detection

Cite this

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title = "Earthquake precursory events in geophysical time-series: use of the Hilbert transform for the detection of simultaneous phase-synchronisation anomalies in paired time-series",
abstract = "In previous studies (e.g. Crockett et al., 2006; Crockett & Gillmore, 2009 & 2010; Crockett, 2012), we have investigated simultaneously recorded radon time-series for synchronised anomalies that occurred before, during and after UK earthquakes in 2002 and 2008. However, whilst successful in identifying such anomalies in closed time-series, the approaches we have used previously have not shown good potential for (near) real-time detection in actively monitored systems. In this presentation and developing from that earlier work, we report an updated approach using the Hilbert transform which is potentially capable of being used on a closer to real-time basis than the approaches we have adopted previously. The Hilbert transform is rapidly computable via the Fast Fourier Transform (FFT) and the analytic signal thus obtained provides a basis for separating high- and low- frequency information, via the instantaneous phase and envelope, which helps reveal synchronised anomalies. If realisable and robust for the underlying geologies in question, a technique based on this approach has the potential for incorporation into an earthquake early-warning system.",
author = "Crockett, {Robin G M} and Gillmore, {Gavin K}",
year = "2018",
month = "4",
day = "9",
language = "English",
note = "European Geosciences Union (EGU) General Assembly 2018 ; Conference date: 09-04-2018 Through 11-04-2018",
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Earthquake precursory events in geophysical time-series: use of the Hilbert transform for the detection of simultaneous phase-synchronisation anomalies in paired time-series. / Crockett, Robin G M; Gillmore, Gavin K.

2018. Poster session presented at European Geosciences Union (EGU) General Assembly 2018, .

Research output: Contribution to conference typesPoster

TY - CONF

T1 - Earthquake precursory events in geophysical time-series: use of the Hilbert transform for the detection of simultaneous phase-synchronisation anomalies in paired time-series

AU - Crockett, Robin G M

AU - Gillmore, Gavin K

PY - 2018/4/9

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N2 - In previous studies (e.g. Crockett et al., 2006; Crockett & Gillmore, 2009 & 2010; Crockett, 2012), we have investigated simultaneously recorded radon time-series for synchronised anomalies that occurred before, during and after UK earthquakes in 2002 and 2008. However, whilst successful in identifying such anomalies in closed time-series, the approaches we have used previously have not shown good potential for (near) real-time detection in actively monitored systems. In this presentation and developing from that earlier work, we report an updated approach using the Hilbert transform which is potentially capable of being used on a closer to real-time basis than the approaches we have adopted previously. The Hilbert transform is rapidly computable via the Fast Fourier Transform (FFT) and the analytic signal thus obtained provides a basis for separating high- and low- frequency information, via the instantaneous phase and envelope, which helps reveal synchronised anomalies. If realisable and robust for the underlying geologies in question, a technique based on this approach has the potential for incorporation into an earthquake early-warning system.

AB - In previous studies (e.g. Crockett et al., 2006; Crockett & Gillmore, 2009 & 2010; Crockett, 2012), we have investigated simultaneously recorded radon time-series for synchronised anomalies that occurred before, during and after UK earthquakes in 2002 and 2008. However, whilst successful in identifying such anomalies in closed time-series, the approaches we have used previously have not shown good potential for (near) real-time detection in actively monitored systems. In this presentation and developing from that earlier work, we report an updated approach using the Hilbert transform which is potentially capable of being used on a closer to real-time basis than the approaches we have adopted previously. The Hilbert transform is rapidly computable via the Fast Fourier Transform (FFT) and the analytic signal thus obtained provides a basis for separating high- and low- frequency information, via the instantaneous phase and envelope, which helps reveal synchronised anomalies. If realisable and robust for the underlying geologies in question, a technique based on this approach has the potential for incorporation into an earthquake early-warning system.

UR - https://www.egu2018.eu/

M3 - Poster

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