Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration
Double-difference (DD) seismic data are widely used to define elasticity distribution in the Earth’s interior and its variation in time. DD data are often pre-processed from earthquake recordings through expert opinion, whereby pairs of earthquakes are selected based on some user-defined criteria an...
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ftingv:oai:www.earth-prints.org:2122/15320 2023-05-15T16:52:32+02:00 Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration Piana Agostinetti, Nicola Sgattoni, Giulia #PLACEHOLDER_PARENT_METADATA_VALUE# Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia 2021 http://hdl.handle.net/2122/15320 https://doi.org/10.5194/se-12-2717-2021 en eng Egu-Copernicus Solid Earth /12 (2021) 1869-9510 http://hdl.handle.net/2122/15320 doi:10.5194/se-12-2717-2021 open article 2021 ftingv https://doi.org/10.5194/se-12-2717-2021 2022-07-29T06:08:43Z Double-difference (DD) seismic data are widely used to define elasticity distribution in the Earth’s interior and its variation in time. DD data are often pre-processed from earthquake recordings through expert opinion, whereby pairs of earthquakes are selected based on some user-defined criteria and DD data are computed from the selected pairs. We develop a novel methodology for preparing DD seismic data based on a trans-dimensional algorithm, without impos- ing pre-defined criteria on the selection of event pairs. We apply it to a seismic database recorded on the flank of Katla volcano (Iceland), where elasticity variations in time have been indicated. Our approach quantitatively defines the pres- ence of changepoints that separate the seismic events in time windows. Within each time window, the DD data are con- sistent with the hypothesis of time-invariant elasticity in the subsurface, and DD data can be safely used in subsequent analysis. Due to the parsimonious behaviour of the trans- dimensional algorithm, only changepoints supported by the data are retrieved. Our results indicate the following: (a) re- trieved changepoints are consistent with first-order variations in the data (i.e. most striking changes in the amplitude of DD data are correctly reproduced in the changepoint distribution in time); (b) changepoint locations in time correlate neither with changes in seismicity rate nor with changes in wave- form similarity (measured through the cross-correlation co- efficients); and (c) the changepoint distribution in time seems to be insensitive to variations in the seismic network ge- ometry during the experiment. Our results demonstrate that trans-dimensional algorithms can be effectively applied to pre-processing of geophysical data before the application of standard routines (e.g. before using them to solve standard geophysical inverse problems). Published 2717–2733 5T. Sismologia, geofisica e geologia per l'ingegneria sismica JCR Journal Article in Journal/Newspaper Iceland Katla Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) Katla ENVELOPE(-19.062,-19.062,63.631,63.631) Solid Earth 12 12 2717 2733 |
institution |
Open Polar |
collection |
Earth-Prints (Istituto Nazionale di Geofisica e Vulcanologia) |
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ftingv |
language |
English |
description |
Double-difference (DD) seismic data are widely used to define elasticity distribution in the Earth’s interior and its variation in time. DD data are often pre-processed from earthquake recordings through expert opinion, whereby pairs of earthquakes are selected based on some user-defined criteria and DD data are computed from the selected pairs. We develop a novel methodology for preparing DD seismic data based on a trans-dimensional algorithm, without impos- ing pre-defined criteria on the selection of event pairs. We apply it to a seismic database recorded on the flank of Katla volcano (Iceland), where elasticity variations in time have been indicated. Our approach quantitatively defines the pres- ence of changepoints that separate the seismic events in time windows. Within each time window, the DD data are con- sistent with the hypothesis of time-invariant elasticity in the subsurface, and DD data can be safely used in subsequent analysis. Due to the parsimonious behaviour of the trans- dimensional algorithm, only changepoints supported by the data are retrieved. Our results indicate the following: (a) re- trieved changepoints are consistent with first-order variations in the data (i.e. most striking changes in the amplitude of DD data are correctly reproduced in the changepoint distribution in time); (b) changepoint locations in time correlate neither with changes in seismicity rate nor with changes in wave- form similarity (measured through the cross-correlation co- efficients); and (c) the changepoint distribution in time seems to be insensitive to variations in the seismic network ge- ometry during the experiment. Our results demonstrate that trans-dimensional algorithms can be effectively applied to pre-processing of geophysical data before the application of standard routines (e.g. before using them to solve standard geophysical inverse problems). Published 2717–2733 5T. Sismologia, geofisica e geologia per l'ingegneria sismica JCR Journal |
author2 |
#PLACEHOLDER_PARENT_METADATA_VALUE# Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia |
format |
Article in Journal/Newspaper |
author |
Piana Agostinetti, Nicola Sgattoni, Giulia |
spellingShingle |
Piana Agostinetti, Nicola Sgattoni, Giulia Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
author_facet |
Piana Agostinetti, Nicola Sgattoni, Giulia |
author_sort |
Piana Agostinetti, Nicola |
title |
Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
title_short |
Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
title_full |
Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
title_fullStr |
Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
title_full_unstemmed |
Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
title_sort |
changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration |
publisher |
Egu-Copernicus |
publishDate |
2021 |
url |
http://hdl.handle.net/2122/15320 https://doi.org/10.5194/se-12-2717-2021 |
long_lat |
ENVELOPE(-19.062,-19.062,63.631,63.631) |
geographic |
Katla |
geographic_facet |
Katla |
genre |
Iceland Katla |
genre_facet |
Iceland Katla |
op_relation |
Solid Earth /12 (2021) 1869-9510 http://hdl.handle.net/2122/15320 doi:10.5194/se-12-2717-2021 |
op_rights |
open |
op_doi |
https://doi.org/10.5194/se-12-2717-2021 |
container_title |
Solid Earth |
container_volume |
12 |
container_issue |
12 |
container_start_page |
2717 |
op_container_end_page |
2733 |
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1766042870448390144 |