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Relation between ocean wave activity and wavefield of the ambient noise recorded in northern Poland
Journal of Seismology ( IF 1.6 ) Pub Date : 2020-11-04 , DOI: 10.1007/s10950-020-09963-y
Simone Lepore , Marek Grad

The temporal and spatial variations of the wavefield of ambient noise recorded at ‘13 BB star’ array located in northern Poland were related to the activity of high, long-period ocean waves generated by strong storms in the Northern Indian Ocean, the Atlantic Ocean, and the Northern Pacific Ocean between 2013 and 2016. Once pre-processed, the raw noise records in time- and frequency-domains, and spectral analysis and high-resolution three-component beamforming techniques were applied to the broadband noise data. The power spectral density was analysed to quantify the noise wavefield, observing the primary (0.04–0.1 Hz) microseism peak and the splitting of the secondary microseism into long-period (0.2–0.3 Hz) and short-period (0.3–0.8 Hz) peaks. The beam-power analysis allowed to determine the changes in the azimuth of noise sources and the velocity of surface waves. The significant wave height, obtained by combining observed data and forecast model results for wave height and period, was analysed to characterise ocean wave activity during strong storms. The comparison of wave activity and beam-power led to distinguish the sources of Rayleigh and Love waves associated to long-period microseisms, of short-period microseisms, and of primary microseisms. High, long-period ocean waves hitting the coastline were found to be the main source of noise wavefield. The source of long-period microseisms was correlated to such waves in the open sea able to reach the shore, whereas the source of primary microseisms was tied to waves interacting with the seafloor very close to the coastlines. The source of short-period microseisms was attributed to strong storms constituted of short-period waves not reaching the coast.



中文翻译:

波兰北部记录的海浪活动与环境噪声波场之间的关系

位于波兰北部的“ 13 BB星”阵列记录的环境噪声波场的时空变化与北印度洋,大西洋,以及2013年至2016年之间的北太平洋地区。一旦进行了预处理,宽带时域噪声数据就将时域​​和频域中的原始噪声记录以及频谱分析和高分辨率三分量波束形成技术应用到宽带噪声数据中。分析功率谱密度以量化噪声波场,观察主要的(0.04-0.1 Hz)微震峰,并将次要的微震分为长周期(0.2-0.3 Hz)和短周期(0.3-0.8 Hz)高峰。光束功率分析可以确定噪声源的方位角和表面波速度的变化。分析了结合观测数据和预报模型结果得到的有效波高和波高和周期,以表征强风暴期间的海浪活动。通过比较波活动度和波束功率,可以区分与长周期微震,短周期微震和原始微震相关的瑞利波和洛夫波的来源。人们发现,撞击海岸线的高强度,长周期海浪是噪声波场的主要来源。长期微地震的来源与能够到达海岸的公海中的此类波浪有关,而初级微地震的来源则与与非常接近海岸线的海底相互作用的海浪有关。

更新日期:2020-11-06
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