Ji Tang
China Earthquake Administration
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Featured researches published by Ji Tang.
Geology | 2012
Guoze Zhao; Martyn J. Unsworth; Yan Zhan; Lifeng Wang; Xiao‐Bin Chen; Alan G. Jones; Ji Tang; Qibin Xiao; Jijun Wang; Juntao Cai; Tao Li; Yanzhao Wang; JiHong Zhang
The Longmenshan forms the eastern margin of the Tibetan Plateau adjacent to the Sichuan Basin. This range is anomalous because it formed despite low convergence and slip rates and without the development of a foreland basin. The devastating A.D. 2008 Wenchuan earthquake (Mw = 7.9) has renewed debate about the tectonics of the Longmenshan. A magnetotelluric (MT) study was undertaken subsequent to the earthquake to investigate the crustal structure of the Longmenshan, and inversion of the data reveals a low-resistivity (high-conductivity) layer at a depth of ∼20 km beneath the eastern Tibetan Plateau that terminates ∼25 km west of the Wenchuan-Maoxian fault. Its electrical properties are consistent with it being fluid-rich and mechanically weak. Beneath the Longmenshan and Sichuan Basin, a high-resistivity zone extends through the entire crust, but with a zone of low resistivity in the vicinity of the Wenchuan hypocenter. We show that the MT data, combined with other geological and geophysical observations, support geodynamic models for the uplift of eastern Tibet being caused by southeast-directed crustal flow that is blocked by stable lithosphere beneath the Sichuan Basin and Longmenshan, leading to inflation of the Songpan-Ganzi terrane. This rigid high-resistivity backstop not only provided a block to flow, but also may have accumulated stress prior to the earthquake. The MT observations provide new insights into the generation of the Wenchuan earthquake, which occurred in a region with low convergence rates prior to the earthquake.
Geophysical Research Letters | 2017
Juntao Cai; Xiao‐Bin Chen; Xiwei Xu; Ji Tang; Lifeng Wang; Chunling Guo; Bing Han; Zeyi Dong
A three-dimensional (3-D) resistivity model around the 2014 Ms6.5 Ludian earthquake was obtained. The model shows that the aftershocks were mainly distributed in a shallow inverse L-shaped conductive angular region surrounded by resistive structures. The presences of this shallow conductive zone may be the key factor leading to the severe damage and surface rupture of the Ludian earthquake. A northwest trending local resistive belt along the Baogunao-Xiaohe fault interrupts the northeast trending conductive zone at the Zhaotong-Lianfeng fault zone in the middle crust, which may be the seismogenic structure of the main shock. Based on the 3-D electrical model, combining with GPS, thermal structure, and seismic survey results, a geodynamic model is proposed to interpret the seismotectonics, deep seismogenic background, and deformation characterized by a sinistral strike slip with a tensile component of the Ludian earthquake.
Science China-earth Sciences | 2015
Guoze Zhao; Yaxin Bi; Lifeng Wang; Bing Han; Xiao Wang; Qibin Xiao; Juntao Cai; Yan Zhan; Xiao‐Bin Chen; Ji Tang; Jijun Wang
The alternating electromagnetic (EM) field is one of the most sensitive physical fields related to earthquakes. There have been a number of publications reporting EM anomalies associated with earthquakes. With increasing applications and research of artificial-source extremely low frequency EM and satellite EM technologies in earthquake studies, the amount of observed data from the alternating EM method increases rapidly and exponentially, so it is imperative to develop suitable and effective methods for processing and analyzing the influx of big data. This paper presents research on the self-adaptive filter and wavelet techniques and their applications to analyzing EM data obtained from ground measurements and satellite observations, respectively. Analysis results show that the self-adaptive filter method can identify both natural- and artificial-source EM signals, and enhance the ratio between signal and noise of EM field spectra, apparent resistivity, and others. The wavelet analysis is capable of detecting possible correlation between EM anomalies and seismic events. These techniques are effective in processing and analyzing massive data obtained from EM observations.
Chinese Science Bulletin | 2008
Guoze Zhao; Xiao‐Bin Chen; Lifeng Wang; Jijun Wang; Ji Tang; ZhanSheng Wan; JiHong Zhang; Yan Zhan; Qibin Xiao
Physics of the Earth and Planetary Interiors | 2012
Qibin Xiao; Jin Zhang; Jijun Wang; Guoze Zhao; Ji Tang
Earthquake Science | 2009
Guoze Zhao; Yan Zhan; Lifeng Wang; Jijun Wang; Ji Tang; Qibin Xiao; Xiao‐Bin Chen
Chinese Journal of Geophysics | 2005
Ji Tang; Yan Zhan; Guoze Zhao; Qian‐Hui Deng; Jijun Wang; Xiao‐Bin Chen; Junmeng Zhao; Fei Xuan
Chinese Science Bulletin | 2013
Yan Zhan; Guoze Zhao; Martyn J. Unsworth; Lifeng Wang; Xiao‐Bin Chen; Tao Li; Qibin Xiao; Jijun Wang; Ji Tang; Juntao Cai; Yanzhao Wang
Chinese Journal of Geophysics | 2007
Qibin Xiao; Guoze Zhao; Yan Zhan; Xiao‐Bin Chen; Ji Tang; Jijun Wang; Qian‐Hui Deng
Journal of Asian Earth Sciences | 2015
Zeyi Dong; Ji Tang; Martyn J. Unsworth; Xiao‐Bin Chen