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Volume 22 Issue 3
Jun 2011
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Journal of Earth Science  > 2011  >  22(3): 386-395.
Changhong Lin, Handong Tan, Tuo Tong. Three-Dimensional Conjugate Gradient Inversion of Magnetotelluric Impedance Tensor Data. Journal of Earth Science, 2011, 22(3): 386-395. doi: 10.1007/s12583-011-0191-8
Citation: Changhong Lin, Handong Tan, Tuo Tong. Three-Dimensional Conjugate Gradient Inversion of Magnetotelluric Impedance Tensor Data. Journal of Earth Science, 2011, 22(3): 386-395. doi: 10.1007/s12583-011-0191-8
shu

Three-Dimensional Conjugate Gradient Inversion of Magnetotelluric Impedance Tensor Data

doi: 10.1007/s12583-011-0191-8
  • 1.

    State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China

  • 2.

    Key Laboratory of Geo-detection, Ministry of Education, Beijing 100083, China

  • 3.

    School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China

Funds:

the National Natural Science Foundation of China 40774029

the National Natural Science Foundation of China 41004028

the Special Fund for Basic Scientific Research of Central Colleges 2010ZY53

the Program for New Century Excellent Talents in University NCET

More Information
  • Corresponding author: Changhong Lin, linchh@cugb.edu.cn
  • Received Date: 20 Dec 2009
  • Accepted Date: 09 Mar 2010
  • Publish Date: 01 Jun 2011
    Abstract
  • We developed a three-dimensional (3D) conjugate gradient inversion algorithm for inverting magnetotelluric impedance tensor measurements. In order to show the importance of including diagonal components of magnetotelluric impedance tensor in 3D inversion, synthetic data were inverted using the 3D conjugate gradient inversion, and the inversion results were compared and analyzed. The results from the 3D inversion of synthetic data indicate that both the off-diagonal and the diagonal components are required in inversions to obtain better inversion results when there are no enough data sites to recover the target resistivity structure. These examples show that lots of information about 3D structure is also contained in the diagonal components; as a result, diagonal components should be included in 3D inversions. The inversion algorithm was also used to invert the impedance tensor data acquired in the Kayabe area in Japan. Inversions with the synthetic and real data demonstrated the validity and practicability of the inversion algorithm.

     

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