Rapid source models of the 2021 Mw 7.4 Maduo, China, earthquake inferred from high-rate BDS3/2, GPS, Galileo and GLONASS observations

Zang, Jianfei; Wen, Yangmao; Li, Zhicai; Xu, Caijun; He, Ke; Zhang, Peng; Wen, Guoyuan; Fan, Saijun

doi:10.1007/s00190-022-01641-w

Cited by 10 publications

(4 citation statements)

References 46 publications

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“…The processed three‐component displacement waveforms of the high‐rate GNSS measurements are obtained from Zang et al. (2022), a low‐pass filter of 0.2 Hz was applied to both synthetic and observational waveforms before comparison to remove the high‐frequency noise in the original data. The locations of the high‐rate GNSS station are shown in Figure 7.…”

Section: Resultsmentioning

confidence: 99%

“…The surface offsets are available from Pan et al (2022), Ren et al (2022), Yuan et al (2022). The high-rate GNSS observations are available from the corresponding author of Zang et al (2022).…”

Section: Data Availability Statementmentioning

confidence: 99%

“…In order to include all the high-rate GNSS stations and get precise surface displacements, we perform the simulation with a model that have larger domain and denser meshing strategy (Figure S7 in Supporting Information S1). The processed three-component displacement waveforms of the high-rate GNSS measurements are obtained from Zang et al (2022), a low-pass filter of 0.2 Hz was applied to both synthetic and observational waveforms before comparison to remove the high-frequency noise in the original data. The locations of the high-rate GNSS station are shown in Figure 7.…”

Section: Displacement Waveformsmentioning

confidence: 99%

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Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Wen,

Cai,

et al. 2024

JGR Solid Earth

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The 2021 MW 7.4 Maduo event occurred within the Bayan Har block in eastern Tibet, which provides an opportunity to investigate the stress conditions and rheology of faults within the block. Here, we perform dynamic rupture simulations based on the finite element method to explore the physical conditions underlying this earthquake and the factors that controlled the rupture process. We construct the model with a nonplanar fault inferred from the Interferometric Synthetic Aperture Radar (InSAR) data and aftershocks sequence relocation. Our dynamic model is controlled by slip‐weakening friction law with initial stress on fault resolved from a uniform regional stress field. The preferred model produces an average slip of ∼2.2 m with a maximum slip of ∼4.0 m. There are three asperities distributed along the strike, which have captured the main features of the Maduo event. The simulation results are consistent with the static GPS coseismic surface displacements, InSAR data, and displacement waveforms recorded by high‐rate GNSS stations. By comparing the results with the planar fault model and rotated stress fields, we find that the fault geometry and regional stress field are the primary factors that control the rupture process of the event. Moreover, we infer that the unfavorable orientation and fault bend lead to minor slips on the branch fault. Furthermore, we investigate the potential mechanisms of supershear rupture on the eastern fault segment.

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Section: Resultsmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

Section: Displacement Waveformsmentioning

confidence: 99%

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Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Wen,

Cai,

et al. 2024

JGR Solid Earth

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“…All these studies have demonstrated the great potential of high-rate GNSS for real-time earthquake source modeling. However, many studies focus on large earthquakes [34][35][36][37][38][39][40]; there are limited studies about real-time earthquake source modeling with high-rate GNSS for earthquakes with a magnitude less than Mw 7.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations

Zang

Fan

et al. 2022

Remote Sensing

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On 7 January 2022, a Mw 6.6 earthquake struck Menyuan County in the Qinghai province of China and the earthquake caused severe damage to infrastructures. In this study, the performance of the high-rate global navigation satellite system (GNSS) on real-time source modeling of the 2022 Mw 6.6 Menyuan earthquake was validated. We conducted the warning magnitude calculation, centroid moment tensor (CMT) inversion, and static fault slip distribution inversion using displacements collected from 14 1-Hz GNSS stations. Our results indicate that the warning magnitude derived from the peak ground displacement (PGD) first exceeds Mw 6.0 approximately 9 s after the earthquake and tends to be stable after about 45 s. The derived finally stable magnitude is Mw 6.5, which is near the USGS magnitude of Mw 6.6. Based on the inverted CMT and static fault slip distribution results, it can be determined that the 2022 Menyuan earthquake is a left-lateral strike-slip event after about 20 s of the earthquake. Although the fault slips, inverted with the 30-s smoothed coseismic offsets, are unstable after about 40 s, all the inverted slip models after that time present the obvious surface rupture and the most fault motions are concentrated between the depth of 0 km and 8 km. Compared with the results inverted with the 30-s smoothed coseismic offsets, the CMT and fault slips inverted with the 70-s smoothed coseismic offsets are more stable. The results obtained in this study indicate that the high-rate GNSS has the potential to be used for real-time source modeling for earthquakes with a magnitude less than 7; the stability of the inverted CMT and fault slips can be improved by using the coseismic offsets averaged by a relatively long-time sliding window.

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Performance assessment of the BDS-3 PPP-B2b service for real-time earthquake source description: a case study for the 2021 Mw 7.4 Maduo earthquake

Zang,

Fan,

et al. 2023

GPS Solut

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Rapid source models of the 2021 Mw 7.4 Maduo, China, earthquake inferred from high-rate BDS3/2, GPS, Galileo and GLONASS observations

Cited by 10 publications

References 46 publications

Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations

Performance assessment of the BDS-3 PPP-B2b service for real-time earthquake source description: a case study for the 2021 Mw 7.4 Maduo earthquake

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Rapid source models of the 2021 Mw 7.4 Maduo, China, earthquake inferred from high-rate BDS3/2, GPS, Galileo and GLONASS observations

Cited by 10 publications

References 46 publications

Dynamic Rupture of the 2021 MW 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Dynamic Rupture of the 2021 MW 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Real-Time Source Modeling of the 2022 Mw 6.6 Menyuan, China Earthquake with High-Rate GNSS Observations

Performance assessment of the BDS-3 PPP-B2b service for real-time earthquake source description: a case study for the 2021 Mw 7.4 Maduo earthquake

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Product

Resources

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Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry

Dynamic Rupture of the 2021 M_W 7.4 Maduo Earthquake: An Intra‐Block Event Controlled by Fault Geometry