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| Titel |
Improving Coseismic Offset Estimation Using Statistical Tests |
| VerfasserIn |
J.-P. Montillet, P. Tregoning, A. Purcell, S. McClusky |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250062716
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| Zusammenfassung |
| Coseimic offset is an important parameter in the study of any earthquake, because that allows
to observe directly the magnitude of the nominated event at the location of the GPS stations.
At a larger scale, the validation of the dislocation theory of spherically symmetric models is
investigated through the study of post-seismic displacements. But due to the characteristics
of the noise in the GPS time series and other complex phenomenon (i.e. annual
and semi annual signals), there is a debate in the scientific community over the
length of the GPS time series for a reliable estimation of the coseismic offset. This
issue can be similarly linked to some studies of the geodetic velocity estimates.
Previous studies correlate the characteristics of the GPS time series (noise, periodic
signals) and the bias error in the velocity estimate. This work is taking another
approach with the study of the stochastic model of a coseismic offset time series. This
time series is obtained by varying the time window length of the GPS time series
centered on a nominated event when estimating the coseismic offset. An algorithm
is then developed with the application of hypothesis testing onto the coseismic
offset time series. Throughout the study of the correlation of the amplitude of the
coseismic displacement with the parameters such as the velocity rate, the amplitude
of the noise and remaining error due to the estimation of other coseismic offsets,
the results underline how much data is needed to get a reliable estimation of the
coseismic offset. In addition, they also show the adaptive characteristics of the presented
algorithm. |
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