Seismogenic characteristics of the 2025 Dingri M 6.8 earthquake: Insights from GNSS observations

This study investigates the seismogenic characteristics of the 2025 Dingri M S 6.8 earthquake through multi-parametric GNSS analyses of velocity field, strain rate evolution and displacement patterns across pre-seismic and co-seismic phases. Our findings demonstrate spatiotemporally heterogeneous crustal deformation exhibiting kinematic precursors correlating with subsequent rupture propagation. The epicentral region exhibited prolonged N-S compressional strain accumulation accompanied by accelerated E-W extensional deformation and progressive counterclockwise rotation of principal strain axes three years prior, indicating enhanced local normal fault activities. Co-seismic observations delineate significant displacement domains, with the XZSJ (∼95 ​mm) site documenting the largest northeastward motion, consistent with rupture propagation along secondary N-E trending structures. Co-seismic strain analysis identifies concentrated seismic moment release primarily west of the Xainza-Dinggye Fault and north of the Southern Qinghai-Xizang Detachment Fault system, displaying normal fault kinematics in agreement with the seismic source mechanism. The co-seismic strain partitioning pattern shows critical implications for regional N-S trending normal fault system, necessitating sustained geodetic monitoring to advance understanding of seismic cycle deformation in this area.

Authors

Institutions

Publication Details

Journal
Earthquake research advances
Published
2025-03-25
DOI
https://doi.org/10.1016/j.eqrea.2025.100375
Citations
4
Primary Topic
earthquake and tectonic studies
Type
article
Field-Weighted Citation Impact
7.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seismogenic characteristics of the 2025 Dingri M 6.8 earthquake: Insights from GNSS observations

Hongbo Shi, Yu Li, Tan Wang, Yuebing Wang et al.
4 citations
Earthquake research advances
earthquake and tectonic studies
7.47
article

Seismogenic characteristics of the 2025 Dingri M 6.8 earthquake: Insights from GNSS observations

Hongbo Shi, Yu Li, Tan Wang, Yuebing Wang, Yinxing Shao
article en
4 citations

Abstract

This study investigates the seismogenic characteristics of the 2025 Dingri M S 6.8 earthquake through multi-parametric GNSS analyses of velocity field, strain rate evolution and displacement patterns across pre-seismic and co-seismic phases. Our findings demonstrate spatiotemporally heterogeneous crustal deformation exhibiting kinematic precursors correlating with subsequent rupture propagation. The epicentral region exhibited prolonged N-S compressional strain accumulation accompanied by accelerated E-W extensional deformation and progressive counterclockwise rotation of principal strain axes three years prior, indicating enhanced local normal fault activities. Co-seismic observations delineate significant displacement domains, with the XZSJ (∼95 ​mm) site documenting the largest northeastward motion, consistent with rupture propagation along secondary N-E trending structures. Co-seismic strain analysis identifies concentrated seismic moment release primarily west of the Xainza-Dinggye Fault and north of the Southern Qinghai-Xizang Detachment Fault system, displaying normal fault kinematics in agreement with the seismic source mechanism. The co-seismic strain partitioning pattern shows critical implications for regional N-S trending normal fault system, necessitating sustained geodetic monitoring to advance understanding of seismic cycle deformation in this area.

Earthquake research advancesVol. 5(4)
China Earthquake Administration (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 3%
earthquake and tectonic studies
7.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.