Show simple item record

dc.contributor.author
Habboub, Mohammed
dc.contributor.author
Psimoulis, Panos A.
dc.contributor.author
Bingley, Richard
dc.contributor.author
Rothacher, Markus
dc.date.accessioned
2020-07-22T11:05:17Z
dc.date.available
2020-03-02T07:27:10Z
dc.date.available
2020-03-02T07:36:07Z
dc.date.available
2020-07-22T11:05:17Z
dc.date.issued
2020-02
dc.identifier.issn
2169-9313
dc.identifier.issn
0148-0227
dc.identifier.issn
2169-9356
dc.identifier.other
10.1029/2019JB018104
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/402380
dc.identifier.doi
10.3929/ethz-b-000402380
dc.description.abstract
In this study, a multiple algorithm approach to the analysis of GNSS coordinate time series for detecting geohazards and anomalies is proposed. This multiple algorithm approach includes the novel use of spatial and temporal analyses. In the spatial analysis algorithm, the spatial autoregressive model was used, assuming that the GNSS coordinate time series from a network of stations are spatially dependent. Whereas in the temporal analysis algorithm, it is assumed that the GNSS coordinate time series of a single station is temporally dependent and an artificial neural network is used to extract this dependency as a nonparametric model. This multiple algorithm approach was examined using (i) the BIGF network of GNSS stations in the British Isles and (ii) the GNSS stations of the GEONET network in Japan for the Tohoku‐Oki 2011 Mw9.0 earthquake. It was demonstrated in these case studies that this multiple algorithm approach can be used to detect the effect of a geohazard such as an earthquake on the GNSS network coordinate time series and to detect regional anomalies in the GNSS coordinate time series of a network. The spatial analysis algorithm seemed to be more suitable to detect coordinate offsets in the low‐frequency component and/or variations in the long‐term trends of the GNSS coordinate time series, while it is less reliable in detecting sudden large magnitude coordinate offsets due to earthquakes, as the effects at one station propagate to nearby stations. In contrast, the temporal analysis algorithm detects coordinate offsets in the high‐frequency component which makes it effective in detecting sudden large coordinate offsets in the GNSS coordinate time series such as those due to earthquakes. Thus, it was shown the complementary of the temporal and spatial analysis algorithms and their successful application for the magnitude and frequency content of the anomalies in the two case studies.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
American Geophysical Union
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
A Multiple Algorithm Approach to the Analysis of GNSS Coordinate Time Series for Detecting Geohazards and Anomalies
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2020-01-21
ethz.journal.title
Journal of Geophysical Research: Solid Earth
ethz.journal.abbreviated
J. geophys. res. Solid earth
ethz.pages.start
e2019JB018104
en_US
ethz.size
21 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
High-Rate GNSS for Seismology
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03824 - Rothacher, Markus (emeritus) / Rothacher, Markus (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03824 - Rothacher, Markus (emeritus) / Rothacher, Markus (emeritus)
en_US
ethz.grant.agreementno
130061
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projektförderung in Mathematik, Natur- und Ingenieurwissenschaften (Abteilung II)
ethz.date.deposited
2020-03-02T07:27:18Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.date.embargoend
2020-07-21
ethz.rosetta.installDate
2020-03-02T07:36:19Z
ethz.rosetta.lastUpdated
2022-03-29T02:41:52Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=A%20Multiple%20Algorithm%20Approach%20to%20the%20Analysis%20of%20GNSS%20Coordinate%20Time%20Series%20for%20Detecting%20Geohazards%20and%20Anomalies&rft.jtitle=Journal%20of%20Geophysical%20Research:%20Solid%20Earth&rft.date=2020-02&rft.spage=e2019JB018104&rft.issn=2169-9313&0148-0227&2169-9356&rft.au=Habboub,%20Mohammed&Psimoulis,%20Panos%20A.&Bingley,%20Richard&Rothacher,%20Markus&rft.genre=article&rft_id=info:doi/10.1029/2019JB018104&
 Search print copy at ETH Library

Files in this item

Thumbnail

Publication type

Show simple item record