乌兹别克斯坦天文研究所Dilbarkhon Fazilova团队，使用全球导航系统数据对2018-2023年乌兹别克斯坦塔什干地区的地壳变形进行了模式分析。相关论文于2024年7月16日发表于《大地测量与地球动力学》杂志。

据研究人员介绍，塔什干地区是乌兹别克斯坦构造和地震活动最活跃的地区之一。人们对当前变形过程的理解和量化仍然不完整，特别是在全球导航卫星系统(GNSS)等天基大地测量技术方面。

研究人员采用改进的最小二乘配点法对2018-2023年16个固定GNSS站点的速度场数据进行分析，以得出其应变速率场及其空间特征。结果表明，其运动方向与印度-欧亚板块汇聚方向一致，速度范围为24.7-30.1 mm/yr，由西北向东南逐渐增大。该区域以14.7nanostrain/yr的速率表现出显著的正扩张，而邻近区域则表现出负扩张，扩张幅度在10-30 nanostrain/yr之间。

第二次应变速率不变量的平均值为20nanostrain/yr，主要发生在Karzhantau断层沿线。应变率场的空间特征勾勒出，以天山造山带为界的伸展应变带和挤压应变带。因此，塔什干地区由于具有相对较高的地震风险而值得更多关注。

附：英文原文

Title: The analysis of crustal deformation patterns in the Tashkent region, Uzbekistan, derived from GNSS data over the period 2018–2023

Author: Dilbarkhon Fazilova, Mirshodjon Makhmudov, Bakhtiyor Khalimov 

Issue&Volume: 2024/07/16

Abstract: The Tashkent region is one of the most tectonically and seismically active areas in Uzbekistan. Although it is highly significant, the understanding and quantification of current deformation processes are still incomplete, especially concerning space-based geodetic techniques like the Global Navigation Satellite System (GNSS). Using velocity field data from 16 permanent GNSS sites during 2018–2023, this paper analyzes the strain rate field and its spatial characteristics using an improved least squares collocation method. The results indicate a northeastward motion consistent with India-Eurasian convergence, with velocities ranging from 24.7 to 30.1 mm/yr and increasing from northwest to southeast. The region displays substantial positive dilation at a rate of 14.7 nanostrain/yr, while the neighboring areas demonstrate negative dilation ranging from 10 to 30 nanostrain/yr. The second strain rate invariant with an average value of 20 nanostrain/yr primarily occurs along the Karzhantau fault. The spatial features of strain rate fields delineate the extensional and compressional strain zones, bounded in the west by the Tien Shan orogenic belt. Therefore, these zones warrant increased attention due to their relatively higher seismic risk in the Tashkent region.

DOI: 10.1016/j.geog.2024.07.001

Source: https://www.sciencedirect.com/science/article/pii/S1674984724000740