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Featured researches published by Tuo Tong.


Journal of Geophysical Research | 2017

Crustal structure beneath Namche Barwa, eastern Himalayan syntaxis: New insights from three-dimensional magnetotelluric imaging

Changhong Lin; Miao Peng; Handong Tan; Zhiqin Xu; Zhong-Hai Li; Wenxin Kong; Tuo Tong; Mao Wang; Weihua Zeng

The eastern terminations of the Himalayan orogeny, named Namche Barwa, are considered a vital natural laboratory in the Tibetan plateau for geodynamics due to its distinctive geological and geomorphological characteristics. Magnetotelluric (MT) data measured at 83 sites around the Namche Barwa are imaged by three-dimensional (3D) inversion to better reveal the crustal structure of the eastern Himalaya. The results show a complex and heterogeneous electrical structure beneath the Namche Barwa. The electrical conductors distributed in the middle and lower crust around the Namche Barwa provide additional evidence for the “crustal flow” model if they are considered as some parts of the flow in a relatively large-scale region. The near-surface resistivity model beneath the inner part of Namche Barwa conforms with the locations of hot spring and fluid inclusions, the brittle–ductile transition and the 300 °C–400 °C isotherm from previous hydrothermal studies. Relatively resistive upper crust (>800 Ωm) is underlain by a more conductive middle to lower crust (<80 Ωm). The electrical characteristics of the thermal structure at shallow depth indicate an accumulation of hydrous melting, a localized conductive steep dipping zone for decompression melting consistent with the “tectonic aneurysm” model for explaining the exhumation mechanism of metamorphic rocks at Namche Barwa. The results also imply that both surface processes and local tectonic responses play a vital role in the evolution of Namche Barwa. An alternative hypothesis that the primary sustained heat source accounts for the local thermal–rheological structure beneath Namche Barwa is also discussed.


Applied Geophysics | 2012

Three-dimensional interpretation of sparse survey line MT data: Synthetic examples

Changhong Lin; Handong Tan; Qing Shu; Tuo Tong; Yu-Mei Zhang

Currently, most of MT (magnetotelluric) data are still collected on sparse survey lines and interpreted using 2D inversion methods because of the field work cost, the work area environment, and so on. However, there are some 2D interpretation limitations of the MT data from 3D geoelectrical structures which always leads to wrong geological interpretations. In this paper, we used the 3D inversion method to interpret the MT sparse lines data. In model testing, the sparse lines data are the MT full information data generated from a test model and processed using the 3D conjugate gradients inversion code. The inversion results show that this inversion method is reasonable and effective. Meanwhile, we prove that for inversion results with different element parameters, the results by joint inversion of both the impedance tensor data and the tipper data are more accurate and closer to the test model.


Exploration Geophysics | 2017

Three-dimensional inversion of CSAMT data in the presence of topography

Changhong Lin; Handong Tan; Wangwang Wang; Tuo Tong; Miao Peng; Mao Wang; Weihua Zeng

3D controlled-source audio frequency magnetotelluric (CSAMT) responses can be distorted strongly by topography and should be accounted for in data inversion and interpretation. In this paper we present a scheme to incorporate topographic distortions into the inversion instead of correcting them. This approach has been verified by comparing the modelling results with 2D FEM CSAMT solutions and synthetic inversion examples. Compared with the responses generated from a half-space model with flat surface, it is found that not only the topography in the survey area but also that at the source position may strongly distort the CSAMT responses. The field example indicates that results with topography are much better than those without considering topography to map the distribution of coal seam underground, which also illustrates the effectiveness of our approach. In this paper, we present a scheme to incorporate 3D controlled-source audio frequency magnetotelluric (CSAMT) topographic distortions into the 3D inversion instead of correcting them. This approach has been verified by comparison with 2D FEM CSAMT solutions and synthetic inversion examples. The field example also illustrates the effectiveness of our approach.


GEM Beijing 2011 | 2011

Three‐dimensional inversion of CSAMT data using conjugate gradient method

Xiong Li; Yaoguo Li; Xiaohong Meng; Changhong Lin; Handong Tan; Tuo Tong

The controlled source audio-frequency magnetotelluric (CSAMT) method plays an important role in the resource exploration. Using a finite difference method in the forward modeling problem and a conjugate gradient method in the regularized inversion problem, we developed a threedimensional (3D) inversion algorithm for CSAMT data. Inversions with the synthetic data demonstrated the validity and stability of the inversion algorithm.


Applied Geophysics | 2008

Three-dimensional conjugate gradient inversion of magnetotelluric sounding data

Changhong Lin; Handong Tan; Tuo Tong


Applied Geophysics | 2009

Parallel rapid relaxation inversion of 3D magnetotelluric data

Changhong Lin; Handong Tan; Tuo Tong


Applied Geophysics | 2011

Three-dimensional conjugate gradient inversion of magnetotelluric full information data

Changhong Lin; Handong Tan; Tuo Tong


Chinese Journal of Geophysics | 2011

The Possibility of Obtaining Nearby 3D Resistivity Structure from Magnetotelluric 2D Profile Data Using 3D Inversion

Changhong Lin; Handong Tan; Tuo Tong


Journal of Earth Science | 2011

Three-Dimensional Conjugate Gradient Inversion of Magnetotelluric Impedance Tensor Data

Changhong Lin; Handong Tan; Tuo Tong


Journal of Environmental and Engineering Geophysics | 2018

The Effects of 3d Electrical Anisotropy On Magnetotelluric Responses: Synthetic Case Studies

Wenxin Kong; Changhong Lin; Handong Tan; Miao Peng; Tuo Tong; Mao Wang

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Changhong Lin

China University of Geosciences

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Handong Tan

China University of Geosciences

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Mao Wang

China University of Geosciences

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Miao Peng

China University of Geosciences

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Weihua Zeng

China University of Geosciences

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Wenxin Kong

China University of Geosciences

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Zhong-Hai Li

Chinese Academy of Sciences

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Wangwang Wang

China University of Geosciences

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Xiaohong Meng

China University of Geosciences

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