P-Wave Polarization-Based Attitude Estimation and Seismic Source Localization for Three-Component Microseismic Sensors

Microseismic source localization is essential for the early warning of disasters in deep rock mass engineering. Traditional time difference methods require a dense sensor network, which is often impractical in large-scale scenarios with low-density sensor placement. Three-component microseismic sensors offer a promising alternative by utilizing multi-axis sensing, but their application depends on accurate sensor attitude estimation—a challenge due to installation deviations, integration errors, magnetic interference, and ambiguity in P-wave polarization direction. This study proposes an attitude calculation and source localization method based on P-wave polarization analysis. For attitude estimation, a unit vector from the sensor to the event is used as a reference; the P-wave polarization direction is extracted via covariance matrix analysis, and a novel “direction–vector–rotation–matrix cross-optimization” method resolves polarization–vector ambiguity. Multi-event data fusion enhances stability and robustness. For source localization, a “1 three-component + 1 single-component” sensor scheme is introduced, combining distance, azimuth, and distance difference constraints to achieve accurate positioning while substantially reducing hardware and energy costs. Field validation at the Yebatan Hydropower Station shows an average reference vector conversion error of 7.72° and an average localization deviation of 10.72 m compared with a conventional high-precision method, meeting engineering early-warning requirements. The proposed approach provides a cost-effective, efficient technical solution for large-scale microseismic monitoring with low sensor density, supporting sustainable infrastructure development through improved disaster risk management.

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Publication Details

Journal
Sustainability
Published
2026-01-22
DOI
https://doi.org/10.3390/su18021124
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
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article

P-Wave Polarization-Based Attitude Estimation and Seismic Source Localization for Three-Component Microseismic Sensors

R. R. FAN, BingRui Chen, Xinhao Zhu, Yaxun Xiao et al.
Sustainability
Seismology and Earthquake Studies
article

P-Wave Polarization-Based Attitude Estimation and Seismic Source Localization for Three-Component Microseismic Sensors

R. R. FAN, BingRui Chen, Xinhao Zhu, Yaxun Xiao, Jianjun Hao, Qian Liu
article en

Abstract

Microseismic source localization is essential for the early warning of disasters in deep rock mass engineering. Traditional time difference methods require a dense sensor network, which is often impractical in large-scale scenarios with low-density sensor placement. Three-component microseismic sensors offer a promising alternative by utilizing multi-axis sensing, but their application depends on accurate sensor attitude estimation—a challenge due to installation deviations, integration errors, magnetic interference, and ambiguity in P-wave polarization direction. This study proposes an attitude calculation and source localization method based on P-wave polarization analysis. For attitude estimation, a unit vector from the sensor to the event is used as a reference; the P-wave polarization direction is extracted via covariance matrix analysis, and a novel “direction–vector–rotation–matrix cross-optimization” method resolves polarization–vector ambiguity. Multi-event data fusion enhances stability and robustness. For source localization, a “1 three-component + 1 single-component” sensor scheme is introduced, combining distance, azimuth, and distance difference constraints to achieve accurate positioning while substantially reducing hardware and energy costs. Field validation at the Yebatan Hydropower Station shows an average reference vector conversion error of 7.72° and an average localization deviation of 10.72 m compared with a conventional high-precision method, meeting engineering early-warning requirements. The proposed approach provides a cost-effective, efficient technical solution for large-scale microseismic monitoring with low sensor density, supporting sustainable infrastructure development through improved disaster risk management.

SustainabilityVol. 18(2)
Institute of Rock and Soil Mechanics (CN), University of Chinese Academy of Sciences (CN), Northeastern University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Seismology and Earthquake Studies
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