High-Speed Railways Interference Signal Characteristics and Multiple Remote References Denoising of Magnetotelluric Data in Jizhong Depression, China
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geophysical and Geoelectrical Methods · Seismic Waves and Analysis · Geophysical Methods and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Science, Langfang 065000, China
Key Laboratory of Geophysical Electromagnetic Probing Technologies of Ministry of Natural Resources, Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Science, Langfang 065000, China
College of Geophysics, Chengdu University of Technology, Chengdu 610059, China
Funding
National Key R&D Program of China · China Geological Survey Project · Chinese Academy of Geological Science
References (43)
Show source-provided references
1. Electric field variations measured continuously in free air over a conductive thin zone in the tilted lias-epsilon black shales near Osnabrück, northwest Germany10.1016/j.jappgeo.2013.01.013 ↗
2. Crustal structure of the RubyMountains and southern Carlin Trend region, Nevada, frommagnetotelluric data10.1016/S0169-1368(02)00089-6 ↗
3. Meng, Y.S., Chen, X.Q., Wang, W.G., Li, R.H., and Wang, G. (2022). Geophysical Implications for Prospective Prediction of Copper Polymetallic Ore Bodies: Northern Margin of Alxa Block, China. Minerals, 12.10.3390/min12050653 ↗
4. The magnetotelluric (MT) investigation of the Diósjenő dislocation belt10.1556/AGeod.38.2003.3.2 ↗
5. Basic theory of the magnetotelluric method of geophysical prospecting10.1190/1.1437915 ↗
6. A quasi-analytical boundary condition for three-dimensional finite difference electromagnetic modeling10.1029/2004RS003029 ↗
7. Magnetotelluric Imaging of Lower Crustal Melt and Lithospheric Hydration in the Rocky Mountain Front Transition Zone, Colorado, USA10.1002/2017JB014474 ↗
8. Error propagation in electromagnetic transfer functions: What role for the magnetotelluric method in detecting earthquake precursors10.1111/j.1365-246X.2006.02948.x ↗
9. Analysis and interpretation of magnetotelluric data in characterization of geothermal resource in Eburru geothermal field, Kenya10.1016/j.geothermics.2019.04.003 ↗
10. The electrical conductivity structure of the Tarim basin in NW China as revealed by three-dimensional magnetotelluric inversion10.1016/j.jseaes.2019.104093 ↗
11. Magnetotelluric soundings across the Taubat Basin, Southeast Brazil, Earth10.1186/BF03353050 ↗
12. Geophysical aspects of manmade electromagnetic noise in the earth—A review10.1007/BF01901627 ↗
13. Anomalous geoelectrical and geomagnetic signals observed at Southern Boso Peninsula, Japan
14. Robust smooth magnetotelluric transfer functions10.1111/j.1365-246X.1996.tb05639.x ↗
15. Magnetotelluric data analysis: Removal of bias10.1190/1.1440885 ↗
16. Magnetotellurics with a remote magnetic reference10.1190/1.1440923 ↗
17. Robust estimation of geomagnetic transfer functions10.1111/j.1365-246X.1986.tb04552.x ↗
18. Hilbert-Huang transform and time-frequency analysis of magnetotelluric signal
19. Wavelet filtering of magnetotelluric data10.1190/1.1444742 ↗
20. Mathematical morphology filtering and noise suppression of magnetotelluric sounding data
21. Application of reference based blind source separation method in the reduction of near field noise of geomagnetic measurements
22. Application of robust processing of magnetotelluric data using single and remote reference sites
23. Noise reduction in magnetotelluric time-series with a new signal-noise separation method and its application to a field experiment in the Saxonian Granulite Massif10.1046/j.1365-246X.2001.00473.x ↗
24. How remote can the far remote reference site for magnetotelluric measurements be?10.1029/2000JB000119 ↗
25. Source effect on magnetotelluric data due to mining area and its suppression
26. Structural genetic types of paleoburied hill in Jizhong depression, Bohai Bay Basin
27. Study on application of deep thermal reservoir by using geophysical and geochemical methods in the Jizhong depression zone
28. Investigation of oil and gas reservoir in Jizhong depression based on time-frequency electromagnetic method
29. Selective-tripping scheme for power supply arm on high-speed railway based on correlation analysis between feeder current fault components in multisite10.1002/tee.22864 ↗
30. Audio-frequency magnetotellurics with a grounded electric dipole source10.1190/1.1440558 ↗
31. Tensor CSAMT and AMT Studies of the Xiarihamu Ni-Cu Sulfide Deposit in Qinghai, China10.1016/j.jappgeo.2018.09.031 ↗
32. Controlled Source Audio-Frequency Magnetotellurics10.1190/1.9781560802686.ch9 ↗
33. Error analysis for remote reference Magnetotellurics10.1190/1.1440988 ↗
34. Bounded influence magnetotelluric response function estimation10.1111/j.1365-246X.2004.02203.x ↗
35. Razorback, an open source Python library for robust processing of magnetotelluric data10.3389/feart.2020.00296 ↗
36. Nonlinear conjugate gradients algorithm for 2-D magnetotelluric inversion10.1190/1.1444893 ↗
37. Two-dimensional magnetotelluric inversion of blocky geoelectrical structures10.1029/2001JB000191 ↗
38. Mehanee, S., Golubev, N., and Zhdanov, M. (1998). Expanded Abstract Presented at the 68th International and Meeting, Society of Exploration Geophysicists.
39. Characteristics of geologic framework of buried-hill in Jizhong depression, Bohai Bay Basin
40. Deep structure in shijiazhuang and the vicinity by magnetotellurics
41. 3-D geologic architecture of Xiong’an New Area: Constraints from seismic reflection data10.1007/s11430-017-9188-4 ↗
42. On the interference of man-made EM fields in the magnetotelluric ‘dead band’10.1046/j.1365-2478.1999.00153.x ↗
43. Robust processing of magnetotelluric data in the AMT dead band using the continuous wavelet transform10.1190/1.2987375 ↗