Bao Wenchao, An Quan, Guo Ye, Wang Lujun, Gao Jianxin
Inner Mongolia Autonomous Region Earthquake Administration, Hohhot, Inner Mongolia Autonomous Region, China.
Xilinhot Earthquake Monitoring Center Station, Xilinhot, Inner Mongolia Autonomous Region, China.
PLoS One. 2024 Dec 5;19(12):e0315004. doi: 10.1371/journal.pone.0315004. eCollection 2024.
Analysis of the continuous ambient noise data collected by a dense network of broadband seismic stations reveals the characteristics of ambient noise in densely populated urban areas. A study conducted in central Inner Mongolia utilized ten broadband stations to investigate two distinct repetitive and intense noise signals with predominant frequencies ranging from 1-20 Hz and 0.01-1 Hz. The ambient noise within the 0.01-20 Hz frequency range was assessed using Probability Density Function (PDF) and Power Spectral Density (PSD) approaches, and the stations were categorized according to their noise levels. The research results indicate that stations located in urban agglomerations are subject to varying degrees of noise interference, with the main sources of interference being human activities, traffic vibrations, and industrial noise. The impact of high-frequency noise on stations is inversely correlated with the distance from the noise source. Among them, four stations are affected by three noise sources. Three stations are affected by two noise sources, and three stations are affected by one noise source. Therefore, the development of urban agglomerations has brought a large number of noise sources to the stations, which greatly affects the data quality of the stations. This finding urges further investigation on the human activities, traffic vibrations, and industrial noise, and suggests that the station construction should be far away from the urban agglomeration.
对由密集的宽带地震台站网络收集的连续环境噪声数据进行分析，揭示了人口密集的城市地区环境噪声的特征。在内蒙古中部进行的一项研究利用了10个宽带台站，调查了两种不同的重复且强烈的噪声信号，其主要频率范围为1 - 20赫兹和0.01 - 1赫兹。使用概率密度函数（PDF）和功率谱密度（PSD）方法评估了0.01 - 20赫兹频率范围内的环境噪声，并根据台站的噪声水平对其进行了分类。研究结果表明，位于城市群中的台站受到不同程度的噪声干扰，主要干扰源为人为活动、交通振动和工业噪声。高频噪声对台站的影响与距噪声源的距离呈负相关。其中，4个台站受到三种噪声源的影响。3个台站受到两种噪声源的影响，3个台站受到一种噪声源的影响。因此，城市群的发展给台站带来了大量噪声源，极大地影响了台站的数据质量。这一发现促使对人为活动、交通振动和工业噪声进行进一步调查，并建议台站建设应远离城市群。
