RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring
Volcanic tremor is a sustained seismic signal associated with volcanic unrest and is often linked to movement of magmatic fluids in the subsurface. However, signals with similar spectral content can be generated by other surface processes. Hence, one of the best ways of distinguishing between differ...
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Online Access: | https://dair.dias.ie/id/eprint/1160/ https://dair.dias.ie/id/eprint/1160/1/RETREAT%20A%20REal-Time%20TREmor%20Analysis%20Tool%20for%20Seismic%20Arrays,%20With%20Applications%20for%20Volcano%20Monitoring.pdf https://www.frontiersin.org/articles/10.3389/feart.2020.586955/full https://doi.org/10.3389/feart.2020.586955 |
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ftdublininstadvs:oai:dair.dias.ie:1160 2023-05-15T16:52:35+02:00 RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring Smith, Patrick J. Bean, Christopher J. 2020-11 text https://dair.dias.ie/id/eprint/1160/ https://dair.dias.ie/id/eprint/1160/1/RETREAT%20A%20REal-Time%20TREmor%20Analysis%20Tool%20for%20Seismic%20Arrays,%20With%20Applications%20for%20Volcano%20Monitoring.pdf https://www.frontiersin.org/articles/10.3389/feart.2020.586955/full https://doi.org/10.3389/feart.2020.586955 en eng Frontiers Media https://dair.dias.ie/id/eprint/1160/1/RETREAT%20A%20REal-Time%20TREmor%20Analysis%20Tool%20for%20Seismic%20Arrays,%20With%20Applications%20for%20Volcano%20Monitoring.pdf Smith, Patrick J. and Bean, Christopher J. (2020) RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring. Frontiers in Earth Science, 8 (586955). Online ISSN 2296-6463 https://doi.org/10.3389/feart.2020.586955 cc_by_sa_4 CC-BY-SA Article PeerReviewed 2020 ftdublininstadvs https://doi.org/10.3389/feart.2020.586955 2022-12-15T23:59:50Z Volcanic tremor is a sustained seismic signal associated with volcanic unrest and is often linked to movement of magmatic fluids in the subsurface. However, signals with similar spectral content can be generated by other surface processes. Hence, one of the best ways of distinguishing between different possible mechanisms is by tracking the location of its source, which is also important for mitigating volcanic risk. Due to its emergent nature, tremor cannot be located using travel-time based methods, therefore alternatives such as amplitude-based techniques or array analysis must be used. Dense, small-aperture arrays are particularly suited for analyzing volcanic tremor, yet costs associated with installation and maintenance have meant few long-term or permanent seismic arrays in use for routine monitoring. Given the potential for wider usage of arrays, this work presents a python based software tool that uses array data and array processing techniques to analyze and locate volcanic tremor signals. RETREAT utilizes existing routines from the open-source ObsPy framework to carry out analysis of seismic array data in real-time and performs f-k(frequency-wavenumber) analysis, or Least-Squares beamforming, to calculate the backazimuth and slowness in overlapping time windows, which can help track the location of volcanic tremor sources. A graphical, or web-based, interface is used to configure a set of input parameters, before fetching chunks of waveform data and performing the array analysis. On each update the tool returns several plots, including timeseries of the backazimuth and slowness, a polar representation of the power and a map of the array with dominant backazimuth overlaid. The tool has been tested using realtime seismic data from the small-aperture SPITS array in Spitsbergen, as well as on data from an array deployed during the 2014 eruption of Bárðarbunga volcano, Iceland. Configuration files and waveform data for these examples are supplied with the distribution. RETREAT can also be used for ... Article in Journal/Newspaper Iceland Spitsbergen Dublin Institute for Advanced Studies: DIAS Institutional Repository Frontiers in Earth Science 8 |
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Dublin Institute for Advanced Studies: DIAS Institutional Repository |
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ftdublininstadvs |
language |
English |
description |
Volcanic tremor is a sustained seismic signal associated with volcanic unrest and is often linked to movement of magmatic fluids in the subsurface. However, signals with similar spectral content can be generated by other surface processes. Hence, one of the best ways of distinguishing between different possible mechanisms is by tracking the location of its source, which is also important for mitigating volcanic risk. Due to its emergent nature, tremor cannot be located using travel-time based methods, therefore alternatives such as amplitude-based techniques or array analysis must be used. Dense, small-aperture arrays are particularly suited for analyzing volcanic tremor, yet costs associated with installation and maintenance have meant few long-term or permanent seismic arrays in use for routine monitoring. Given the potential for wider usage of arrays, this work presents a python based software tool that uses array data and array processing techniques to analyze and locate volcanic tremor signals. RETREAT utilizes existing routines from the open-source ObsPy framework to carry out analysis of seismic array data in real-time and performs f-k(frequency-wavenumber) analysis, or Least-Squares beamforming, to calculate the backazimuth and slowness in overlapping time windows, which can help track the location of volcanic tremor sources. A graphical, or web-based, interface is used to configure a set of input parameters, before fetching chunks of waveform data and performing the array analysis. On each update the tool returns several plots, including timeseries of the backazimuth and slowness, a polar representation of the power and a map of the array with dominant backazimuth overlaid. The tool has been tested using realtime seismic data from the small-aperture SPITS array in Spitsbergen, as well as on data from an array deployed during the 2014 eruption of Bárðarbunga volcano, Iceland. Configuration files and waveform data for these examples are supplied with the distribution. RETREAT can also be used for ... |
format |
Article in Journal/Newspaper |
author |
Smith, Patrick J. Bean, Christopher J. |
spellingShingle |
Smith, Patrick J. Bean, Christopher J. RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
author_facet |
Smith, Patrick J. Bean, Christopher J. |
author_sort |
Smith, Patrick J. |
title |
RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
title_short |
RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
title_full |
RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
title_fullStr |
RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
title_full_unstemmed |
RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring |
title_sort |
retreat: a real-time tremor analysis tool for seismic arrays, with applications for volcano monitoring |
publisher |
Frontiers Media |
publishDate |
2020 |
url |
https://dair.dias.ie/id/eprint/1160/ https://dair.dias.ie/id/eprint/1160/1/RETREAT%20A%20REal-Time%20TREmor%20Analysis%20Tool%20for%20Seismic%20Arrays,%20With%20Applications%20for%20Volcano%20Monitoring.pdf https://www.frontiersin.org/articles/10.3389/feart.2020.586955/full https://doi.org/10.3389/feart.2020.586955 |
genre |
Iceland Spitsbergen |
genre_facet |
Iceland Spitsbergen |
op_relation |
https://dair.dias.ie/id/eprint/1160/1/RETREAT%20A%20REal-Time%20TREmor%20Analysis%20Tool%20for%20Seismic%20Arrays,%20With%20Applications%20for%20Volcano%20Monitoring.pdf Smith, Patrick J. and Bean, Christopher J. (2020) RETREAT: A REal-Time TREmor Analysis Tool for Seismic Arrays, With Applications for Volcano Monitoring. Frontiers in Earth Science, 8 (586955). Online ISSN 2296-6463 https://doi.org/10.3389/feart.2020.586955 |
op_rights |
cc_by_sa_4 |
op_rightsnorm |
CC-BY-SA |
op_doi |
https://doi.org/10.3389/feart.2020.586955 |
container_title |
Frontiers in Earth Science |
container_volume |
8 |
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1766042946700836864 |