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 typesPosterResearch

    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

    Fingerprint

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

    Cite this

    @conference{be1f8cafeaf649e99b545d5a611491d5,
    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",
    url = "https://www.egu2018.eu/, https://egu2018.eu/",

    }

    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 typesPosterResearch

    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

    Y1 - 2018/4/9

    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

    ER -