Insight into the 2016 Menyuan Mw 5.9 Earthquake with InSAR: A Blind Reverse Event Promoted by Historical Earthquakes

Wei, Xiong; Chen, Wei; Zhao, Bin; Wen, Yangmao; Liu, Gang; Nie, Zhaosheng; Qiao, Xuejun; Xu, Caijun

doi:10.1007/s00024-018-2000-0

Cited by 21 publications

(18 citation statements)

References 37 publications

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“…Given the simple surface deformation produced by the 2016 M w 5.9 earthquake (Figure 2a–2b and 2g–2h), a single plane is adequate to model its fault geometry, as shown in their small residues with single‐peak posterior probability distributions (Figures S1 and S2 in Supporting Information ). The optimal model indicates a thrust‐slip mechanism on a low‐angle, south‐dipping fault plane (strike = 122°, dip = 43°), similar to the source models from previous InSAR studies (e.g., Li et al., 2016; Liu et al., 2018; Wang et al., 2017; Xiong et al., 2019; Zhang et al., 2020).…”

Section: Coseismic Deformation and Fault Geometrysupporting

confidence: 75%

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes

Luo

Wang

2022

Geophysical Research Letters

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The 1,000 km‐long Haiyuan fault is the largest strike‐slip fault system in the northeastern Tibetan Plateau, accommodating part of the plateau's eastward extrusion. However, few large earthquakes have been instrumentally recorded, hindering our understanding of strain partitioning across the fault system. Here, we use synthetic aperture radar images to investigate fault geometries and slip distributions of the adjacent 2016 Mw5.9 and 2022 Mw6.7 Menyuan earthquakes that occurred 35 km apart along the western Haiyuan fault system. The purely strike and purely thrust slips of the 2022 and 2016 events indicate that strain was released separately on shallow steep fault and low‐angle fault at depth. We propose that such strain partitioning is controlled by the ratio between interseismic shear and normal velocities and the branching fault structure beneath the Lenglongling segment. Seismic hazard due to both focal mechanisms has to be considered along the western Haiyuan fault in northeastern Tibet.

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Section: Coseismic Deformation and Fault Geometrysupporting

confidence: 75%

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes

Luo

Wang

2022

Geophysical Research Letters

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“…This may be the reason why the stress elevation Zone II (Figure 6) observed in this study was not identified by Xiong et al. (2018).…”

Section: Discussioncontrasting

confidence: 67%

“…However, the contribution of each historical event to the stress changes on different fault segments in the Tianzhu seismic gap was not clear by Xiong et al. (2018). By comparing the stress changed individually by 12 historical events (Nos.…”

Section: Discussionmentioning

confidence: 97%

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Seismic Activities and Hazards of the Seismic Gaps in the Haiyuan Fault in Northeastern Tibet: Insights From Numerical Modeling Earthquake Interaction

Chen

Liu

Zhang

2022

Earth and Space Science

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“…The elastic response is especially presented in the deformation of U direction, which can be established using the model of load-deformation [22][23][24]. The response of crustal loading can be measured by numerous observation methods, such as GPS [25], InSAR [26], and VLBI [27], etc. GPS can observe the crustal displacement with the virtues of efficiency, accuracy, and all weather [28].…”

Section: Introductionmentioning

confidence: 99%

Inverted Algorithm of Terrestrial Water-Storage Anomalies Based on Machine Learning Combined with Load Model and Its Application in Southwest China

et al. 2021

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Dense Global Position System (GPS) arrays can be used to invert the terrestrial water-storage anomaly (TWSA) with higher accuracy. However, the uneven distribution of GPS stations greatly limits the application of GPS to derive the TWSA. Aiming to solve this problem, we grid the GPS array using regression to raise the reliability of TWSA inversion. First, the study uses the random forest (RF) model to simulate crustal deformation in unobserved grids. Meanwhile, the new Machine-Learning Loading-Inverted Method (MLLIM) is constructed based on the traditional GPS derived method to raise the truthfulness of TWSA inversion. Second, this research selects southwest China as the study region, the MLLIM and traditional GPS inversion methods are used to derive the TWSA, and the inverted results are contrasted with datasets of the Gravity Recovery and Climate Experiment (GRACE) Mascon and the Global Land Data Assimilation System (GLDAS) model. The comparison shows that values of Pearson Correlation Coefficient (PCC) between the MLLIM and GRACE and GRACE Follow-On (GRACE-FO) are equal to 0.91 and 0.88, respectively; and the values of R-squared (R2) are equal to 0.76 and 0.65, respectively; the values of PCC and R2 between MLLIM and GLDAS solutions are equal to 0.79 and 0.65. Compared with the traditional GPS inversion, the MLLIM improves PCC and R2 by 8.85% and 7.99% on average, which indicates that the MLLIM can improve the accuracy of TWSA inversion more than the traditional GPS method. Third, this study applies the MLLIM to invert the TWSA in each province of southwest China and combines the precipitation to analyze the change of TWSA in each province. The results are as follows: (1) The spatial distribution of TWSA and precipitation is coincident, which is highlighted in southwest Yunnan and southeast Guangxi; (2) this study compares TWSA of MLLIM with GRACE and GLDAS solutions in each province, which indicates that the maximum value of PCC is as high as 0.86 and 0.94, respectively, which indicates the MLLIM can be used to invert the TWSA in the regions with sparse GPS stations. The TWSA based on the MLLIM can be used to fill the vacancy between GRACE and GRACE-FO.

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Insight into the 2016 Menyuan Mw 5.9 Earthquake with InSAR: A Blind Reverse Event Promoted by Historical Earthquakes

Cited by 21 publications

References 37 publications

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes

Seismic Activities and Hazards of the Seismic Gaps in the Haiyuan Fault in Northeastern Tibet: Insights From Numerical Modeling Earthquake Interaction

Inverted Algorithm of Terrestrial Water-Storage Anomalies Based on Machine Learning Combined with Load Model and Its Application in Southwest China

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Insight into the 2016 Menyuan Mw 5.9 Earthquake with InSAR: A Blind Reverse Event Promoted by Historical Earthquakes

Cited by 21 publications

References 37 publications

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 Mw5.9 and 2022 Mw6.7 Menyuan Earthquakes

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 Mw5.9 and 2022 Mw6.7 Menyuan Earthquakes

Seismic Activities and Hazards of the Seismic Gaps in the Haiyuan Fault in Northeastern Tibet: Insights From Numerical Modeling Earthquake Interaction

Inverted Algorithm of Terrestrial Water-Storage Anomalies Based on Machine Learning Combined with Load Model and Its Application in Southwest China

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Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes

Strain Partitioning on the Western Haiyuan Fault System Revealed by the Adjacent 2016 M_w5.9 and 2022 M_w6.7 Menyuan Earthquakes