• ISSN 2097-1893
    • CN 10-1855/P

    云南水管倾斜仪台网的高频背景噪声水平和机理

    High-frequency background noise levels on water-tube tiltmeters in Yunnan Province, SW China

    • 摘要: 我国数字化水管倾斜仪台网观测的时长已达数十年,其高频背景噪声水平及噪声源究竟如何,仍是一个待解的科学问题. 为此,本文以云南地区的11个水管倾斜仪台站为例,并尝试采用功率谱密度和概率密度函数法,率先解算了该区水管倾斜仪台站的高频背景噪声水平. 结果表明:(1)在10−4~8.3×10−3 Hz频带,各台背景噪声水平会随频率的增加而呈非线性衰减的规律;其中,10−4~5×10−4 Hz频段的噪声源主要来自气压波动,而5×10−4~8.3×10−3 Hz频段的噪声源则复杂多样. (2)勐腊、云县、云龙、丽江、昭通、永胜、弥渡和保山台的高频背景噪声水平最低,楚雄和昆明台次之,洱源台则最高. (3)对于大部分单台而言,其NS和EW分量之间的高频背景噪声水平相近. 上述方法和结果,不仅可以为我国水管倾斜仪台网高频背景噪声水平的定量评估提供算法参考,而且还能为其噪声模型构建提供实证.

       

      Abstract: The duration of observation of China digital water-tube tiltmeter network has spanned several decades, raising the scientific question regarding the level of high-frequency background noise and the source of the noise. To address this question, this study is the first to examine 11 water-tube tiltmeter observatories in Yunnan Province (SW China) using the power spectral density and probability density function method to establish the high-frequency background noise levels for the water-tube tiltmeters in this region. The findings reveal that: (1) Within the frequency band of 10−4–8.3×10−3 Hz, the background noise level of each observatory exhibits a nonlinear attenuation pattern as frequency increases; among them, the noise sources in the frequency band of 10−4–5×10−4 Hz are mainly from the fluctuation of barometric pressure, while those in the frequency band of 5×10−4–8.3×10−3 Hz are complicated and diverse. (2) The Mengla, Yunxian, Yunlong, Lijiang, Zhaotong, Yongsheng, Midu, and Baoshan stations had the lowest high-frequency background noise levels, followed by the Chuxiong and Kunming observatories, whereas the Eryuan observatory had the highest. (3) Most individual observatories had similar background noise levels between the NS and EW components. These results demonstrate that the above methods and results can provide a reference for the calculation of high-frequency background noise levels of China water-tube tiltmeter network and provide empirical evidence for establishing its noise model.

       

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