PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 6, 2025Geophysical Research Letters0 citationsOpen Access

Along‐Strike Variation of the Unilateral Rupture of the 2025 M w 7.1 Dingri, Xizang Earthquake: One of the Shallowest M7+ Normal‐Faulting Events on the Tibetan Plateau

View Full Paper
XZXu ZhaoZXZhuowei XiaoJLJuan Li

Key Points

  • The fault model indicates a complex rupture mechanism involving segments of the main fault.
  • Findings highlight a notable shallow slip deficit segment, impacting local risk assessments.
  • Assessment utilized multi-data integration techniques including seismic and InSAR observations.
  • Determination of rupture characteristics implies significant stress release from tectonic activities.

Abstract

Abstract The 2025 M w 7.1 Dingri earthquake, one of the shallowest documented M7+ normal‐faulting earthquakes on the Tibetan Plateau since 1900, exhibited a complex rupture process investigated through source inversion techniques and multi‐data integration, including near‐field strong‐motion recordings, regional broadband waveforms, teleseismic body and surface waves, and InSAR observations. The centroid depth (∼4.8 km) was robustly constrained by seismic and geodetic data. The three‐segment fault model indicates a dominant northward‐propagating rupture with two high‐slip asperities peaking at ∼4 m. The 24‐s rupture involved primarily Faults 1 and 2, with a strike change from N190°E to N150°E and dip angles of 35°–50°. Normal‐faulting dominated above 10 km depth, generating discontinuous surface fractures with vertical offsets up to 2.3 m. This earthquake likely released east‐west extensional stress resulting from the Indo‐Eurasian plate collision. A 14‐km‐long shallow slip deficit segment near Dengme Co was identified, warranting enhanced monitoring for improved seismic hazard assessment.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/694020fd2d562116f28fb579https://doi.org/10.1029/2025gl119397
Ask AI
Helpful
Bookmark
Share
View Full Paper