Nonlinear Bayesian estimation of centroid moment tensors using multiple seismic data sets in the Kiskatinaw seismic monitoring and mitigation area
| dc.contributor.advisor | Dettmer, Jan | |
| dc.contributor.author | Hamidbeygi, Mahdi | |
| dc.contributor.committeemember | Eaton, David | |
| dc.contributor.committeemember | Gilbert, Hersh | |
| dc.date.accessioned | 2022-12-22T23:16:55Z | |
| dc.date.available | 2022-12-22T23:16:55Z | |
| dc.date.issued | 2022-12-22 | |
| dc.description.abstract | Centroid moment tensor (CMT) parameters of earthquakes are routinely estimated to gain information on structures and regional tectonics. However, for small earthquakes (M<4) it is still challenging to determine CMTs due to the lack of high-quality waveform data. In this study, we propose to improve solutions for small earthquakes by incorporating multiple seismic data types in Bayesian joint inversion: polarities picked on broadband signals, amplitude spectra for intermediate frequency bands (0.2--2.0 Hz), and waveforms at low frequencies (0.05--0.2 Hz). Both measurement and theory errors are accounted for by iterative estimation of non-Toeplitz covariance matrices, allowing to objectively determine weights for the different data types in the joint parameter estimation. Validity and applicability of the method are demonstrated on simulation and field data. Results demonstrate that the combination of data, such as a single high quality waveform, a few amplitude spectra and many waveform polarities are able to resolve CMT parameters to comparable quality as if many high quality waveforms were available. Results of 10 induced events that occurred in northeastern British Columbia between January 2020 and February 2022 indicate predominant strike slip focal mechanisms with low non double-couple components. These events appear to be located at shallow depth with a short duration as expected for induced seismicity. These results are consistent with previous studies. Therefore, we learn that this method reduces the dependency of source inversion on high-quality waveforms and permits to resolve CMTs for earthquakes as small as ML 1.6. | en_US |
| dc.identifier.citation | Hamidbeygi, M. (2022). Nonlinear Bayesian estimation of centroid moment tensors using multiple seismic data sets in the Kiskatinaw seismic monitoring and mitigation area (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1880/115627 | |
| dc.identifier.uri | https://dx.doi.org/10.11575/PRISM/40561 | |
| dc.language.iso | eng | en_US |
| dc.publisher.faculty | Science | en_US |
| dc.publisher.institution | University of Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | en_US |
| dc.subject | Earthquake source observation | en_US |
| dc.subject | Induced seismicity | en_US |
| dc.subject | Computational seismology | en_US |
| dc.subject | Bayseian joint interference | en_US |
| dc.subject | Dynamics and mechanics of faulting | en_US |
| dc.subject.classification | Geophysics | en_US |
| dc.title | Nonlinear Bayesian estimation of centroid moment tensors using multiple seismic data sets in the Kiskatinaw seismic monitoring and mitigation area | en_US |
| dc.type | master thesis | en_US |
| thesis.degree.discipline | Geoscience | en_US |
| thesis.degree.grantor | University of Calgary | en_US |
| thesis.degree.name | Master of Science (MSc) | en_US |
| ucalgary.item.requestcopy | true | en_US |