Applied Sciences (Mar 2023)

High-Speed Railways Interference Signal Characteristics and Multiple Remote References Denoising of Magnetotelluric Data in Jizhong Depression, China

  • Gang Wang,
  • Dayong Wang,
  • Yinsheng Meng,
  • Yongbo Li,
  • Wenguo Wang,
  • Wei Zhu,
  • Aiming Cui,
  • Yi Zhao

DOI
https://doi.org/10.3390/app13074304
Journal volume & issue
Vol. 13, no. 7
p. 4304

Abstract

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In the economically developed Beijing–Tianjin–Hebei region, magnetotelluric data are susceptible to contamination from cultural noise, which can be caused, for example, by urban stray currents, high-speed railways, or high-voltage lines. The multiple remote references method is an effective tool that can be used to suppress interference and improve signal-to-noise ratios. Therefore, this paper first introduces the basic principles of multiple remote references and then takes high-speed railway noise as an example. The characteristics of the time domain and frequency domain of the high-speed railway noise signals are analyzed. Then, we use two remote reference stations (with a single remote reference and multiple remote references) to process the data interfering with the high-speed railway and compare the results. Finally, the multiple remote references method is used to process the data for the entire section. Coupled with the known geological and seismic data, the inversion results well-reflect the deep underground geological structure.

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