Study on the Relationship between GNSS Deformation Characteristics and Earthquakes in Xinjiang and Its Adjacent Regions
Based on GNSS data,the strain rate tensor in Xinjiang and its adjacent areas is calculated by using the spher-ical least squares collocation method.The relationship between the strain rate and the distribution of M≥6.0 earth-quakes in the study area during 1900-2022 is statistically analyzed.Then the indicative significance of GNSS strain rate characteristics for strong-earthquake locations is studied.The major faults'deformation characteristics in the study area are inversed with the three-dimensional elastic block model.And on the basis of the focal mechanism so-lutions,the relationship between the faults'deformation characteristics and the types of strong earthquakes in the study area is analyzed.The results show that the second strain rate value is high in the west Tianshan-Pamir region and in the adjacent areas of the Altyn fault zone,with the highest value near the Pamir structural juncture.The maximum shear strain rate direction in the Southern Tianshan Mountains and Pamir region is mainly NE-NEE,re-flecting the characteristic of the area dominated by dip-slip deformation.The M≥6.0 earthquakes are mainly dis-tributed in the high strain rate areas and their margins,especially in the eastern region of the Pamir tectonic junc-tion.The fault movement in the area has obvious classification features.The faults in the study area are featured as compression movement on the whole.The NE-trending fault zone is mainly left-lateral,strike-slip,and the NW-trending fault is mainly right-lateral,strike-slip.Strong earthquakes concentrate in the western section of the South Tianshan Mountains and the eastern part of the Pamir syntax,where the NE-trending Keping fault zone,the NE-trending Maidan fault zone,the NE-trending Narati fault zone,the NW-trending Kiziletao fault zone,the NE-tren-ding Talas-Fergana fault zone converge.In the area the focal mechanism of strong earthquakes is consistent with the faults'movement pattern.
万方数据
维普
