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ISSN 2096-7780 CN 10-1665/P

呼伦贝尔市测震台站背景噪声特征分析

Analysis of Background Noise Characteristics of Seismic Stations in Hulunbuir

  • 摘要: 本文通过2023年1月1日~2024年12月31日台站连续记录数据,采用Welch平均周期图法测定呼伦贝尔市辖区测震台站噪声功率谱密度(PSD)值;基于帕塞瓦尔定理积分法计算波形(0.1~1.0 Hz)微震频段与(1.0~20 Hz)文化噪声频段的地动速度均方根(RMS)值,开展台站噪声水平趋势分级与时空变化特征分析。结果表明:除呼吉日诺尔(HJN)台因仪器故障导致断记时段(2023年8月15日—9月22日)外,所有台站PSD符合全球标准噪声模型(NLNM/NHNM)合理范围内;微震频段(0.1~1.0 Hz)RMS值均呈现季节性变化趋势一致:冬季高夏季低,比值差约2~3倍;而文化噪声频段(1.0~20 Hz)RMS值变化等级台站依次排序:第一级(低噪声台站):莫尔道嘎(MDG)台、绰尔(CHR)台、根河(GNH)台;第二级(中等噪声台站):海拉尔(HLR)台、新右旗(XIQ)台、扎兰屯(ZLT)台、那吉屯(NJT)台;第三级(较高噪声台站):满洲里(MZL)台,呼吉日诺尔(HJN)台。

     

    Abstract: Based on continuous recording data from seismic stations within Hulunbuir City from January 1, 2023, to December 31, 2024, this study employs the Welch averaged periodogram method to determine the power spectral density (PSD) of noise at each station. Using the Parseval theorem integration method, the root-mean-square (RMS) values of ground-motion velocity are calculated for the microseismic band (0.1–1.0 Hz) and the cultural noise band (1.0–20 Hz). These values are then used to classify noise level trends and analyze spatiotemporal variation characteristics. The results show that, Except for the Hujirinuoer (HJN) station, where data gaps occurred due to instrument malfunction during the period from August 15 to September 22, 2023, the PSD values of all other stations fall within the reasonable range defined by the global standard noise models (NLNM/NHNM). In the microseismic band (0.1–1.0 Hz), the RMS values exhibit a consistent seasonal pattern across all stations, with higher values in winter and lower values in summer, and a ratio difference of approximately 2 to 3 times. For the cultural noise band (1.0–20 Hz), the stations are ranked by RMS variation levels as follows: Level 1 (low-noise stations): Moerdaogao (MDG), Chuoer (CHR), and Genhe (GNH); Level 2 (moderate-noise stations): Hailaer (HLR), Xinyouqi (XIQ), Zhalantun (ZLT), and Najitun (NJT); Level 3 (relatively high-noise station): Manzhouli (MZL), Hujirinuoer (HJN).

     

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