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ISSN 2096-7780 CN 10-1665/P

新冠疫情防控措施对腾冲火山台网背景噪声影响分析

Analysis of the impact of COVID-19 prevention and control measures on the background noise of Tengchong volcanic network

  • 摘要: 基于腾冲火山台网2019年10月-2020年4月的记录的垂直向连续波形数据,计算其噪声功率谱密度(PSD)及相应的概率密度函数(PDF)分布,从噪声功率谱密度、日变化特征等方面分析新冠疫情防控措施对腾冲火山台网背景噪声的影响。结果表明,疫情防控使人为活动密集的腾冲台、马站台中高频段(1~10 Hz)功率谱密度显著降低,日变化规律因人类活动规律中断而打破;人口稀少区的新华台、热海台受人类活动影响较小,疫情防控前后噪声变化与日变化特征影响不明显。概率密度函数分析显示,人口密集区台站中高频段噪声能量分布向低能偏移,人口稀少区台站PDF特征对防控措施响应微弱。研究结果为腾冲火山监测中噪声干扰的识别与校正、台站优化选址提供理论依据,体现了极端公共卫生事件对地震监测研究的独特价值。

     

    Abstract: Based on the vertical continuous waveform data recorded by Tengchong Volcano Network from October 2019 to April 2020, the noise power spectral density (PSD) and probability density function (PDF) were calculated, and the influence of the new corona epidemic prevention and control measures on the background noise of Tengchong Volcano Network was analyzed from the aspects of noise power spectral density and diurnal variation characteristics. The results show that the epidemic prevention and control has significantly reduced the power spectral density of the middle and high frequency bands (1~10 Hz) of the TCG and MZT with intensive human activities, and the daily variation law has been broken due to the interruption of human activities. XHT and RHT in sparsely populated areas are less affected by human activities, and the influence of noise changes and daily variation characteristics before and after epidemic prevention and control is not obvious. The probability density function analysis shows that the distribution of noise energy in the middle and high frequency bands of stations in densely populated areas shifts to low energy, and the PDF characteristics of stations in sparsely populated areas have weak response to prevention and control measures. The research results provide a theoretical basis for the identification and correction of noise interference in Tengchong volcano monitoring and the optimal site selection of stations, and reflect the unique value of extreme public health events for earthquake monitoring research.

     

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