Seismic Background Noise Analysis from the Seismic Station Located at the University of Abuja, Northcentral Nigeria

IF 0.5 Q4 PHYSICS, MULTIDISCIPLINARY Jordan Journal of Physics Pub Date : 2023-08-31 DOI:10.47011/16.3.4
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Abstract

Abstract: In October 2018, the Federal Government of Nigeria established several seismic stations in different places in the country. Three of these stations are located in the Abuja region (the Federal Capital Territory, or FCT) and are managed by the Nigerian Geological Survey Agency. Over the past few years, several low to intermediate earthquakes have been recorded within and around the Abuja region. These occurrences have provided valuable opportunities to study seismic earth noise using the dataset collected from the VolksMeter II seismometer installed at the University of Abuja. The data was processed using the Win QUAKE software to analyze the seismic background noise by identifying its sources. This analysis aimed to examine the seasonal and/or daily noise levels and check the seismometer’s stability through spectral display. The physical examination and/or quantitative observation of the spectrum revealed that there was a distinct area with densely high ranges between 0.08 and 10 s, corresponding to a frequency range of 0.1Hz–12.53Hz. This assessment involved a full Fast Fourier Transform (FFT) calculation. The spectral analysis indicated the presence of noise burbles, primarily attributable to instrumental noise. These noise burbles were prominent in the east-west direction during the months of March, April, May, and June 2019, with frequencies of 0.03Hz, 0.04Hz, 0.03Hz, and 0.03Hz, respectively. A similar pattern was observed in the north-south direction, with noise peaks of 0.07Hz in the months of January, April, and July 2019. The findings from this study of seismic noise amplitude demonstrate a clear correlation with the global seismic noise models. The sources contributing to the station’s noise levels encompass factors such as wind, geological influences, instrumental noise, and human activities including machinery and airport operations as well as vehicular traffic. These observations highlight the potential of using background seismic noise to quantify tremors and monitor their spatial variations, a task that remains difficult with traditional approaches. Keywords: VolksMeter II, Seismic station, Background noise, Spectrum, University of Abuja.
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尼日利亚中北部阿布贾大学地震台站地震背景噪声分析
摘要:2018年10月,尼日利亚联邦政府在全国各地建立了多个地震台站。其中三个监测站位于阿布贾地区(联邦首都直辖区),由尼日利亚地质调查局管理。在过去几年中,阿布贾地区内部和周边地区记录了几次低至中等地震。这些事件为利用安装在阿布贾大学的VolksMeter II地震仪收集的数据集研究地震地球噪声提供了宝贵的机会。利用Win QUAKE软件对数据进行处理,分析地震背景噪声的来源。该分析旨在检查季节性和/或日常噪音水平,并通过频谱显示检查地震仪的稳定性。光谱的物理检查和/或定量观察表明,在0.08 ~ 10 s之间有一个明显的密集高范围区域,对应0.1Hz-12.53Hz的频率范围。这个评估涉及到一个完整的快速傅立叶变换(FFT)计算。光谱分析表明存在噪声气泡,主要归因于仪器噪声。2019年3月、4月、5月和6月,东西向的噪声气泡较为突出,频率分别为0.03Hz、0.04Hz、0.03Hz和0.03Hz。在南北方向上也观察到类似的模式,2019年1月、4月和7月的噪声峰值为0.07Hz。地震噪声振幅的研究结果与全球地震噪声模型有明显的相关性。造成监测站噪音水平的来源包括风、地质影响、仪器噪音、人类活动(包括机械和机场运作)以及车辆交通等因素。这些观测结果突出了利用背景地震噪声来量化地震并监测其空间变化的潜力,这是传统方法仍然难以完成的任务。关键词:VolksMeter II,地震台站,背景噪声,频谱,阿布贾大学。
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来源期刊
Jordan Journal of Physics
Jordan Journal of Physics PHYSICS, MULTIDISCIPLINARY-
CiteScore
0.90
自引率
14.30%
发文量
38
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