PCA-Based Analysis of Key Influencing Factors on Extremely Low-Frequency Geoelectric Field Intensity

In view of the complexity of influencing factors in the artificial geoelectric field at the same test point over different times, it is difficult to extract effective environmental parameters for field strength prediction. Principal component analysis is used to analyze environmental parameters such as temperature, humidity, PH, conductivity and formation resistance. Through load analysis, the influence of different environmental parameters on geoelectric field is found as follows: Formation resistance > conductivity >PH > humidity > temperature. The effectiveness of the method is evidenced by the test results.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11150248
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
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PCA-Based Analysis of Key Influencing Factors on Extremely Low-Frequency Geoelectric Field Intensity

Mathematics, Computing, and Information Processing
article

PCA-Based Analysis of Key Influencing Factors on Extremely Low-Frequency Geoelectric Field Intensity

article en

Abstract

In view of the complexity of influencing factors in the artificial geoelectric field at the same test point over different times, it is difficult to extract effective environmental parameters for field strength prediction. Principal component analysis is used to analyze environmental parameters such as temperature, humidity, PH, conductivity and formation resistance. Through load analysis, the influence of different environmental parameters on geoelectric field is found as follows: Formation resistance > conductivity >PH > humidity > temperature. The effectiveness of the method is evidenced by the test results.

Beijing Information Science & Technology University (CN)
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Mathematics, Computing, and Information Processing
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PCA-Based Analysis of Key Influencing Factors on Extremely Low-Frequency Geoelectric Field Intensity · (2025) | TGRS Research Map | TGRS