Relation between ocean wave activity and wavefield of the ambient noise recorded in northern Poland

Abstract

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.

Investigating the Characteristics of Microseisms using the Australian Seismic Arrays

“…Recent advances in observational seismology studies analyzing the distribution and composition of the microseisms wavefield utilized seismic arrays across the globe using beamforming methods (e.g. Gal et al, 2015;Gerstoft et al, 2008;Landès et al, 2010;Lepore & Grad, 2020;Wang et al, 2021). It is widely acknowledged that coastal regions are the originating areas for PM (Ardhuin et al, 2015); however, the dominant source regions of SM vary in different parts of the world.…”

Dynamic of seismic noise sources in the Mediterranean Sea: implication for monitoring using noise correlations

“…Several approaches have been used to investigate the sources of seismic noise on a continental scale using either distant arrays distributed across Europe [Essen et al, 2003, Chevrot et al, 2007, Juretzek and Hadziioannou, 2016 or even seismic arrays on different continents [Friedrich et al, 1998, Stehly et al, 2006, Retailleau et al, 2017. Other studies have instead focused on the origin of the noise at specific networks and locations [Pedersen and Krüger, 2007, Beucler et al, 2015, Tanimoto et al, 2015, Craig et al, 2016, Lepore and Grad, 2020, Guerin et al, 2022.…”

High‐Resolution Near‐Surface Imaging at the Basin Scale Using Dark Fiber and Distributed Acoustic Sensing: Toward Site Effect Estimation in Urban Environments

“…Park & Miller, 2008; C. Park et al., 2004), spatial autocorrelation‐SPAC (Aki, 1965; Chávez‐García et al., 2006; Hayashi et al., 2022; Kita et al., 2011; Margaryan et al., 2009; Okada & Suto, 2003), multichannel analysis of passive surface waves‐MAPS (Chen et al., 2022; Cheng et al., 2016; Dai et al., 2021; Y. Liu et al., 2020; Mi et al., 2022; Pang et al., 2019; Zhou et al., 2018). In the past two decades, the ambient noise interferometry technique has been widely employed for subsurface structure imaging using ambient seismic energy from natural or anthropogenic sources (e.g., Lehujeur et al., 2016; Lepore & Grad, 2020; F.‐C. Lin et al., 2009; Martins et al., 2020; Nakata et al., 2011; Pan et al., 2016; Planès et al., 2020; Yao & van der Hilst, 2009).…”

“…Liu et al, 2020;Mi et al, 2022;Pang et al, 2019;Zhou et al, 2018). In the past two decades, the ambient noise interferometry technique has been widely employed for subsurface structure imaging using ambient seismic energy from natural or anthropogenic sources (e.g., Lehujeur et al, 2016;Lepore & Grad, 2020;F.-C. Lin et al, 2009;Martins et al, 2020;Nakata et al, 2011;Pan et al, 2016;Planès et al, 2020;Yao & van der Hilst, 2009). Campillo and Paul (2003) indicated that one can extract the empirical Green's function between two receivers by cross-correlating their ambient seismic noise recordings.…”