2022
DOI: 10.1016/j.asr.2022.06.065
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Source mechanism of the 2020 Mw 6.3 Nima earthquake derived from Bayesian inversions with InSAR observations: Insight into E-W extensional activity in the central Tibet

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Cited by 1 publication
(2 citation statements)
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“…There have been several previous studies investigating the fault geometry of the 2020 Nima earthquake [19][20][21][22], showing that the fault plane with strikes ranging from 28 • to 31.3 • and dips ranging from 48.3 • to 51.6 • . For instance, Hu et al [14] used a modified resolution-based decomposition algorithm [51] to downsample the interferograms and inverted the fault geometry using the Bayesian method [58].…”
Section: Comparisons Of the Fault Geometry With Previous Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…There have been several previous studies investigating the fault geometry of the 2020 Nima earthquake [19][20][21][22], showing that the fault plane with strikes ranging from 28 • to 31.3 • and dips ranging from 48.3 • to 51.6 • . For instance, Hu et al [14] used a modified resolution-based decomposition algorithm [51] to downsample the interferograms and inverted the fault geometry using the Bayesian method [58].…”
Section: Comparisons Of the Fault Geometry With Previous Studiesmentioning
confidence: 99%
“…InSAR has been proven to be a powerful tool to monitor precise surface displacements with high spatial resolution and wide coverages, and it has been widely used to map coseismic and postseismic deformation [10][11][12][13][14][15][16][17][18]. Several scholars have used InSAR to investigate the coseismic deformation of the 2020 Nima earthquake and then determine its source parameters, but obvious differences can be observed in the source parameters [19][20][21][22]. On the other hand, postseismic motion following large earthquakes represents the response of host rocks to the redistribution of coseismic stress changes, and its corresponding surface displacement time series is useful in identifying the potential physical mechanisms at depth, which might provide insight into future seismic hazards [10,13].…”
Section: Introductionmentioning
confidence: 99%