Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China.
Detection of urban hidden faults using group-velocity ambient noise tomography beneath Zhenjiang area, China.
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中国镇江地区群速度环境噪声层析成像技术检测城市隐伏断层
DOI：
10.1038/s41598-020-80249-6
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发表时间：
2021-01-13
影响因子：
4.6
通讯作者：
Zheng T
中科院分区：
文献类型：
--
作者：
Zheng L;Fan X;Zhang P;Hao J;Qian H;Zheng T
幕阜山-焦山断裂是位于宁镇山脉北侧的一条隐伏活动断裂，沿着长江在镇江地区发育。本文利用群速度背景噪声层析成像技术对MJF的结构进行了探测和研究。在研究区域（18 km × 25 km），部署了47个短周期地震台站，平均台站间距约3 km，收集了24天（2019年2月27日至3月22日）的连续环境噪声记录。利用垂直分量数据提取了510条周期为0.5~5s的群速度频散曲线。然后利用直接面波层析成像方法，利用群频散数据反演了三维横波速度结构。结果表明，在0.6-1.5km深度范围内，MJF北侧为相对高速，南侧为高低速相间的分布格局。而在1.5-2.0km深度范围内，剪切波速度（Vs）模型相对简单，北侧速度相对较低，南侧速度相对较高。Vs梯度带可能是MJF主破裂面的位置。Vs模型与断层结构之间的良好对应表明，背景噪声层析成像方法可以作为一种有效的方法来检测城市环境中的隐藏故障。
The Mufushan-Jiaoshan fault (MJF) is a hidden active fault located on the north side of the Ningzhen Mountain Range and developed along the Yangtze River in Zhenjiang area, China. In this paper, the structure of MJF is detected and studied using group-velocity ambient noise tomography. In the study area (18 km × 25 km), 47 short-period seismic stations were deployed with the average station spacing of about 3 km and 24 days (from 27 February to 22 March 2019) of continuous ambient-noise recordings were collected. And 510 group velocity dispersion curves in the period band 0.5–5 s were extracted using the vertical component data. And then the three-dimensional shear-wave velocity structure was inverted using group dispersion data by the direct surface-wave tomographic method. Our results are consistent with the geological background of the study area, showing that in the depth range of 0.6–1.5 km, the north side of MJF presents a relatively high velocity, and the south side presents a distribution pattern of high and low velocity. While in the depth range of 1.5–2.0 km, the shear-wave velocity (Vs) model is relatively simple with relatively low velocity on the north side and relatively high velocity on the south side. And the gradient zone of Vs may be the location of the main fracture surface of MJF. The good correspondence between the Vs model and the fault structure indicates that the ambient noise tomography method can be used as an effective method for detecting hidden faults in urban environments.
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