A Probabilistic Tremor Location Method
Abstract A method to locate tremor with an unclear onset is introduced. The method maps envelopes of cross‐correlated records from pairs of seismographs to signal likelihoods using Bayes' theorem. The likelihood time series are then back projected to obtain likelihoods of source location in spa...
| Published in: | Geophysical Research Letters |
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| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
2020
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| Subjects: | |
| Online Access: | https://doi.org/10.1029/2019GL085538 https://doaj.org/article/a9838a61ffa246d99d64324a52110282 |
| Summary: | Abstract A method to locate tremor with an unclear onset is introduced. The method maps envelopes of cross‐correlated records from pairs of seismographs to signal likelihoods using Bayes' theorem. The likelihood time series are then back projected to obtain likelihoods of source location in space. Assuming that information derived from different station pairs is independent, the joint likelihood for all station pairs is the product of all individual station pair likelihoods. Its peak and spread give the most probable source location and its uncertainty. Robustness of the method has been evaluated with synthetic tests. The method recovers true location within 0.5 km with realistic noise characteristics in synthetic data. Uncertainty estimates are consistent with location deviations for sources inside the seismic network. When applied to real data from Katla and Eyjafjallajökull volcanoes in southern Iceland, their likely tremor source is also recovered within 1 km. |
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