Abstract
InSAR observation is widely used for mapping the coseismic deformation and estimating the earthquake source model. However, atmospheric delay noise reduces the accuracy of the mapped coseismic surface deformation, which results in the significant uncertainty of the InSAR-derived faulting model. Therefore, it is significant to mitigate the negative effect of atmospheric noise and improve the InSAR data inversion performance of earthquake source modeling. In this study, a new method of fault slip inversion is proposed, in which InSAR deformation differencing vector (IDV) is utilized as an independent constraint on source modeling instead of the original InSAR observation. According to the experimental result obtained from the simulated InSAR data, the proposed method significantly mitigates the negative effect of atmospheric noise, and the slip residual is reduced by up to ~ 65% when compared to the estimate based on the original InSAR observation. Then, the proposed method is applied to investigate the coseismic faulting of the 2014 Napa, California earthquake. It is found that the surface deformation predicted by the IDV-derived faulting model is more consistent with the GPS observation than the result obtained through the original InSAR-derived faulting model, and that the accuracy is improved by ~ 28%.
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Data availability
The source models estimated by original InSAR deformation and IDV data are available from the corresponding author on reasonable request. The original InSAR and GPS displacements of the Napa earthquake are provided freely on the website of the Jet Propulsion Laboratory.
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Acknowledgements
This research is supported by the Fund for Creative Research Groups of China (Grant No. 41521002), National Science Fund for Distinguished Young Scholars of China (Grant No. 42125702), State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project (SKLGP2021Z016), National Key R&D Program of China (Grant No. 2018YFC1505402, 2018YFC1504901) and National Natural Science Foundation of China (Grant No. 41472255, 41704014 and 41631073).
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Y-HY contributed to conceptualization; Y-HY, L-HL, and JC contributed to methodology; L-HL and X-YL contributed to validation; Y-HY and QC contributed to writing-original draft preparation; QC, J-CH, and QX contributed to writing-review and editing; X-YL contributed to visualization; Y-HY and QC contributed to funding acquisition.
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Yang, YH., Li, HL., Chen, Q. et al. Inferring faulting model using InSAR deformation differencing vector: application to the 2014 Napa earthquake. J Geod 97, 65 (2023). https://doi.org/10.1007/s00190-023-01755-9
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DOI: https://doi.org/10.1007/s00190-023-01755-9