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Propagation of crust deformation anomalies related to the Menyuan MS 6.9 earthquake.

Authors :
Anfu Niu
Chong Yue
Zhengyi Yuan
Jing Zhao
Wei Yan
Yuan Li
Source :
Earthquake Research Advances; Oct2023, Vol. 3 Issue 4, p1-6, 6p
Publication Year :
2023

Abstract

Decoding the variation laws of the deformation field before strong earthquakes has long been recognized as an essential issue in earthquake prediction research. In this paper, the temporal and spatial distribution characteristics of deformation anomalies in the northeastern margin of the Qinghai-Tibetan Plateau before and after the Menyuan M<subscript>S</subscript> 6.9 earthquake were studied by using the Fisher statistical test method. By analyzing the characteristics of these anomalies, we found that: 1) The deformation anomalies are mainly distributed in the marginal front area of the Qinghai-Tibetan Plateau, where short-term deformation anomalies are prone to occur due to a high gradient of gravity; 2) The deformation anomalies along the northeastern margin of the Qinghai-Tibetan Plateau are characterized by spatial propagation, and the migration rate is about 2.4 km/d. The propagation pattern is counterclockwise, consistent with the migration direction of M<subscript>S</subscript> ≥ 6.0 earthquakes; 3) The time and location of the Menyuan earthquake are related to the group migration of earthquakes with M<subscript>S</subscript> ≥ 6.0. Finally, based on the results of gravity field variation and the theory of crust stress wave, the law of deformation anomaly distribution was discussed. We suggest that both the deformation propagation along the northeastern margin of the Qinghai-Tibetan Plateau and the earthquake migration are possibly associated with the variation of the stress field caused by subsurface mass flow. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20969996
Volume :
3
Issue :
4
Database :
Complementary Index
Journal :
Earthquake Research Advances
Publication Type :
Academic Journal
Accession number :
175373662
Full Text :
https://doi.org/10.1016/j.eqrea.2023.100240