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Characterization of Electric Field Observation Interference and Analysis of Influencing Factors in Yanqing Zhangzhuang Tableland

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DOI: 10.23977/geors.2025.080101 | Downloads: 8 | Views: 284

Author(s)

Yi Han 1, Xiaodong Wu 1, Huayong Mu 1, Luqing Xu 1, Zhihui Wang 1, Weixin Zhang 1, Zu'an Chen 1

Affiliation(s)

1 Beijing Earthquake Agency, Beijing, 100080, China

Corresponding Author

Yi Han

ABSTRACT

Based on the meticulous research of the geoelectric field observation data collected at the Yanqing Seismic Station spanning from 2020 to 2023, this paper delves comprehensively into the main interference factors plaguing geoelectric fields. Geoelectric field observations are highly susceptible to multiple external elements. Industrial electrical activities, for instance, can introduce high-frequency electromagnetic interference due to the large-scale operation of electrical machinery. Meteorological factors also play a significant role; rainfall might cause changes in soil conductivity, leading to fluctuations in the observed data.Moreover, human activities near the station, like the construction of new infrastructure with heavy machinery usage, can generate artificial electrical noise. By analyzing the root causes behind each type of interference factor and closely examining the distinct characteristics of how the observation data varies, we are able to single out the typical interference factors. This detailed exploration ultimately offers a more nuanced and in-depth reference for accurately discerning the reasons behind abnormal changes witnessed in geoelectrical observation data, facilitating more precise seismic monitoring and related research.

KEYWORDS

Geoelectric Field; Yanqing Seismic Station; Variation Characteristics; Typical Event

CITE THIS PAPER

Yi Han, Xiaodong Wu, Huayong Mu, Luqing Xu, Zhihui Wang, Weixin Zhang, Zu'an Chen, Characterization of Electric Field Observation Interference and Analysis of Influencing Factors in Yanqing Zhangzhuang Tableland. Geoscience and Remote Sensing (2025) Vol. 8: 1-10. DOI: http://dx.doi.org/10.23977/geors.2025.080101.

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