F. Basanı et al.
Marine Pollution Bulletin 198 (2024) 115891
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JOMOPANS
Distribution of
ship classes per
station
{ ü )
#7 Fishing
[—] Passenger
7] Cargo
IM Tanker
I Other
— EEZ
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Dominance
L10-2.5%
112.5-7%
E17-15%
MN 15-25%
25 -35%
35 - 50%
"50 - 60%
60 - 75%
75 - 90%
E90 - 100%
16/17-DK-TN1/TN-
Interrev
North Sea Region
Jomopans
“Anegan Regional Development Fun-
= DRAADCARI I AM
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1
02-DK-AN
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x
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Fig. 1. Positions of 18 measurement stations indicated by pie charts depicting the share of ship classes on total traffic within 35 km of each station; contour map in
‘he background exhibits over what percentage of the year 2019 the predicted anthropogenic noise dominates the natural ambient noise by 20 dB or more (broadband
LO Hz - 20 kHz), underlying sound map adopted from (de Jong et al., 2022); note that the 13-NO-LOV station is not depicted in the figure as it is outside the modelled
region; its coordinates are given in Table 2.
pressure fluctuations that result in low frequency signals in the mea-
surements, called flow noise. Flow noise is not part of the ambient noise
aut is a contaminating low frequency signal in sound recordings. Cur-
‚ents can also induce noise in the measurements by for example causing
vibration of the setup (e.g. cable strum), which is referred to as platform
self-noise. The range of the turbulent pressure fluctuation covers the
frequency range between 1 - —100 Hz (cf. Robinson et al., 2014).
Currently, there is no standard method to remove the effect of this noise
from the measurements, but there are practicable approaches to
describe it and exclude the contaminated data from the analysis (van
Seel et al., 2020). This is particularly important when it comes to
assessment (Borsani et al., 2023) and when validating numerical model
-esults (Putland et al., 2022),
ıt is expected that at measuring stations with a strong tidal current
regime, the flow-noise component would be clearly visible in the low
frequency acoustic data (see Fig. 3). The current pattern of the North Sea
is mainly dominated by tides (Sündermann and Pohlmann, 2011).
However, the orbital motion of sea surface waves also creates currents
‘hat decrease with depth (e.g. Soulsby and Smallman, 1986). The depth
:o which orbital motion is still present equals roughly half the wave-
length. With wave periods, ranging approximately from 6 to 8 s
(Bonaduce et al., 2019), the average wavelength in the North Sea is
expected to be between 56 m and 99 m (Holthuijsen, 2007). It is thus
expected that orbital motion of wind driven waves can contribute to
low noise at stations in waters shallower than 50 m. Currents can
further be forced geostrophically or can be caused by other phenomena
such as Langmuir circulation or Ekman spirals (e.g. Li et al., 2013;
Sündermann and Pohlmann, 2011).
This study is structured as follows. First, the acoustic and environ-
mental data are introduced. Second, similarities and differences be-
tween geographical positions are identified, and last correlations of
sound levels with data on wind, shipping and currents are presented.
2. Data
For the presented analyses, acoustic and shipping data (AIS (Auto-
matic Identification System) data purchased from the French company
Quiet Oceans complemented by VMS (Vessel Monitoring System) data
from Denmark, Germany, Norway and Sweden) from the JOMOPANS
project, wind data from the E.U. Copernicus Marine Service, and ocean
zurrent data from the BSH operational hydrodynamic model, were used.
These sources are elaborated in the Sections 2.1 to 2.4 below.
2.1. Acoustic data
Ambient sound was measured at 18 stations across the North Sea and
at one reference station outside the North Sea at the Lofoten Islands
(Fig. 1 and Table 2). The scope of the JOMOPANS project was limited to
waters deeper than 10 m, thus all stations were located relatively far
from the coast. Measurements were conducted in 8 different countries
by representative partner organisations.
Depending on equipment availability, these partner organisations