Jiazheng Zhang
Chinese Academy of Sciences
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Featured researches published by Jiazheng Zhang.
Geophysical Research Letters | 2015
Jiabiao Li; Hanchao Jian; Yongshun John Chen; Satish C. Singh; Aiguo Ruan; Xuelin Qiu; Minghui Zhao; X. G. Wang; Xiongwei Niu; Jianyu Ni; Jiazheng Zhang
The oceanic crust is formed by a combination of magmatic and tectonic processes at mid-ocean spreading centers. Under ultraslow spreading environment, however, observations of thin crust and mantle-derived peridotites on the seafloor suggest that a large portion of crust is formed mainly by tectonic processes, with little or absence of magmatism. Using three-dimensional seismic tomography at an ultraslow spreading Southwest Indian Ridge segment containing a central volcano at 50°28′E, here we report the presence of an extremely magmatic accretion of the oceanic crust. Our results reveal a low-velocity anomaly (−0.6 km/s) in the lower crust beneath the central volcano, suggesting the presence of partial melt, which is accompanied by an unusually thick crust (~9.5 km). We also observe a strong along-axis variation in crustal thickness from 9.5 to 4 km within 30–50 km distance, requiring a highly focused melt delivery from the mantle. We conclude that the extremely magmatic accretion is due to localized melt flow toward the central volcano, which was enhanced by the significant along-axis variation in lithosphere thickness at the ultraslow spreading Southwest Indian Ridge.
Acta Oceanologica Sinica | 2013
Jiazheng Zhang; Minghui Zhao; Xuelin Qiu; Jiabiao Li; Aiguo Ruan
The Moho interface provides critical evidence for crustal thickness and the mode of oceanic crust accretion. The seismic Moho interface has not been identified yet at the magma-rich segments (46°–52°E) of the ultraslow spreading Southwestern Indian Ridge (SWIR). This paper firstly deduces the characteristics and domains of seismic phases based on a theoretical oceanic crust model. Then, topographic correction is carried out for the OBS record sections along Profile Y3Y4 using the latest OBS data acquired from the detailed 3D seismic survey at the SWIR in 2010. Seismic phases are identified and analyzed, especially for the reflected and refracted seismic phases from the Moho. A 2D crustal model is finally established using the ray tracing and travel-time simulation method. The presence of reflected seismic phases at Segment 28 shows that the crustal rocks have been separated from the mantle by cooling and the Moho interface has already formed at zero age. The 2D seismic velocity structure across the axis of Segment 28 indicates that detachment faults play a key role during the processes of asymmetric oceanic crust accretion.
Marine Geodesy | 2018
Feng Du; Jiazheng Zhang; Fudong Yang; Minghui Zhao; Qiang Wang; Xuelin Qiu
Abstract The relocation of ocean bottom seismometers (OBSs) is a key step in analyzing the three-dimensional seismic tomographic structure of crust and mantle. In order to get the accurate location of OBSs on the seafloor, we analyze the travel times of direct water waves emitted by air-guns. The Monte Carlo and least square methods have been adopted to calculate the true OBS location. The secondary time correction is necessary if the arrivals of direct water waves show overall time drift during relocation which maybe originates from remnant of linear clock drift correction and average errors of travel time picking, mean water velocity assumption, and experiment geometry. We have improved the original OBS relocation procedure which we used previously for other experiments by deliberateness of a secondary time correction and automatically approaching the really mean water velocity. A series of synthetic tests are carried out firstly to document the feasibility of our procedure and then it is applied on a real experiment. In here, we relocate 28 OBSs in total were relocated in 3D seismic survey near Bashi Channel. Relocation results show that the drifting distances for the 28 OBSs range from 65 to 1136 m between the deployed and relocated locations deduced by relocation results. The Pearson correlation coefficient between OBS drifting direction and sea current direction is 0.79, indicating that the two sets of data are highly linearly related and further manifest the sea current as the most possible driving force for OBS drifting during landing on the seafloor but its detailed influence mechanism is unclear by now. This research is necessary and critical for velocity structure modeling, and the optimal relocation program provides valuable experiences for 3D seismic survey in other area.
Geochemistry Geophysics Geosystems | 2013
Minghui Zhao; Xuelin Qiu; Jiabiao Li; Daniel Sauter; Aiguo Ruan; John Chen; Mathilde Cannat; Satish C. Singh; Jiazheng Zhang; Zhenli Wu; Xiongwei Niu
Chinese Journal of Geophysics | 2010
Wei Ao; Minghui Zhao; Xuelin Qiu; Jia‐Biao Li; Aiguo Ruan; Shou‐Jun Li; Jiazheng Zhang
Journal of Asian Earth Sciences | 2016
Enyuan He; Minghui Zhao; Xuelin Qiu; Jean-Claude Sibuet; Jian Wang; Jiazheng Zhang
Geological Journal | 2016
Jian Wang; Minghui Zhao; Xuelin Qiu; Jean-Claude Sibuet; Enyuan He; Jiazheng Zhang; Chunhui Tao
Tectonophysics | 2018
Siqing Liu; Minghui Zhao; Jean-Claude Sibuet; Xuelin Qiu; Jonny Wu; Jiazheng Zhang; Chuanxu Chen; Ya Xu; Longtao Sun
Marine Geophysical Researches | 2017
Wei Luo; Minghui Zhao; Jiazheng Zhang; Chunhui Tao; Xuelin Qiu; Yu Ren
International Geophysical Conference, Qingdao, China, 17-20 April 2017 | 2017
Xuelin Qiu; Haibo Huang; Jiazheng Zhang; Minghui Zhao; Huilong Xu