Abstract Traffic noise surface wave exploration holds significant promise for urban shallow subsurface investigations. However, current dispersion data is often limited by poor signal quality. To address these challenges, this research proposed a data quality control method specifically designed for traffic noise. The method enhanced signal-to-noise ratios through data screening and phase-weighted superposition, effectively improving the quality of the traffic noise surface waves. These improvements in signal-to-noise ratio and resolution contribute to more accurate dispersion imaging, as demonstrated by successful application to data from the Guangzhou Huanggang Power Tunnel. This research introduced a robust data quality control approach for traffic noise surface wave exploration, enabling broader use of traffic noise in surface wave investigations.
SONG Changqing,FANG Xiaozheng,XIE Ji'an. Traffic noise data quality control method and its application in surface wave exploration[J]. Hazard Control in Tunnelling and Underground Engineering,
2024, 6(4): 20-26.
