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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-21-14351-2021</article-id><title-group><article-title>Polycyclic aromatic hydrocarbons (PAHs) and their nitrated and oxygenated
derivatives in the Arctic boundary layer: seasonal trends and local
anthropogenic influence</article-title><alt-title>PAHs and their nitrated and oxygenated
derivatives in the Arctic boundary layer</alt-title>
      </title-group><?xmltex \runningtitle{PAHs and their nitrated and oxygenated
derivatives in the Arctic boundary layer}?><?xmltex \runningauthor{T.~Drotikova et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Drotikova</surname><given-names>Tatiana</given-names></name>
          <email>tatiana.drotikova@unis.no</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Dekhtyareva</surname><given-names>Alena</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Kallenborn</surname><given-names>Roland</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff4">
          <name><surname>Albinet</surname><given-names>Alexandre</given-names></name>
          <email>alexandre.albinet@ineris.fr</email>
        <ext-link>https://orcid.org/0000-0002-7727-8647</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Arctic Technology, University Centre in Svalbard (UNIS),
Longyearbyen, 9171, Norway</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Faculty of Chemistry, Biotechnology and Food Science, Norwegian
University of Life Sciences (NMBU), <?xmltex \hack{\break}?>Ås, 1432, Norway</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Geophysical Institute, University of Bergen and Bjerknes Centre for
Climate Research, Bergen, 5020, Norway</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>French National Institute for Industrial Environment and Risks
(Ineris), Verneuil-en-Halatte, 60550, France</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Tatiana Drotikova (tatiana.drotikova@unis.no) and Alexandre Albinet (alexandre.albinet@ineris.fr)</corresp></author-notes><pub-date><day>28</day><month>September</month><year>2021</year></pub-date>
      
      <volume>21</volume>
      <issue>18</issue>
      <fpage>14351</fpage><lpage>14370</lpage>
      <history>
        <date date-type="received"><day>3</day><month>March</month><year>2021</year></date>
           <date date-type="rev-request"><day>11</day><month>March</month><year>2021</year></date>
           <date date-type="rev-recd"><day>1</day><month>August</month><year>2021</year></date>
           <date date-type="accepted"><day>11</day><month>August</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Tatiana Drotikova et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021.html">This article is available from https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e133">A total of 22 polycyclic aromatic hydrocarbons (PAHs), 29 oxy-PAHs, and 35 nitro-PAHs (polycyclic aromatic
compounds, PACs) were measured in gaseous and particulate phases in the
ambient air of Longyearbyen, the most populated settlement in Svalbard, the
European Arctic. The sampling campaign started in the polar night in November
2017 and lasted for 8 months until June 2018, when a light cycle reached a
sunlit period with no night. The transport regimes of the near-surface,
potentially polluted air masses from midlatitudes to the Arctic and the
polar boundary layer meteorology were studied. The data analysis showed the
observed winter PAC levels were mainly influenced by the lower-latitude
sources in northwestern Eurasia, while local emissions dominated in spring
and summer. The highest PAC concentrations observed in spring, with PAH
concentrations a factor of 30 higher compared to the measurements at the
closest background station in Svalbard (Zeppelin, 115 km distance from
Longyearbyen), were attributed to local snowmobile-driving emissions. The
lowest PAC concentrations were expected in summer due to enhanced
photochemical degradation under the 24 h midnight sun conditions and
inhibited long-range atmospheric transport. In contrast, the measured summer
concentrations were notably higher than those in winter due to the harbour
(ship) emissions.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e145">Polycyclic aromatic hydrocarbons (PAHs) are toxic and carcinogenic compounds
(International Agency for Research on Cancer, 2010;
Kim et al., 2013) released into the atmosphere primarily through incomplete
combustion of fossil fuels and biomass (Ravindra et
al., 2008). PAHs react with several atmospheric oxidants and form toxic
oxygenated and nitrated PAH derivatives (oxy-PAHs and nitro-PAHs;
Clergé et al., 2019; WHO, 2003; Bolton et al., 2000; Idowu et al., 2019;
IARC, 2012), which can also be present in primary emissions (Keyte et
al., 2013; Bandowe and Meusel, 2017; Walgraeve et al., 2010; Abbas et al.,
2018). PAHs, nitro- and oxy-PAHs (polycyclic aromatic compounds, PACs) are
semi-volatile compounds partitioning between gaseous and particulate phases
in response to ambient pressure and temperature and thus have different
photolysis rates and long-range atmospheric transport (LRAT) potentials
(Mulder et al., 2019; Tomaz et al., 2016; Albinet et al., 2007, 2008; Keyte et al., 2013; Nalin et al., 2016; Huang et al., 2014;
Odabasi et al., 1999; Shahpoury et al., 2016). Once emitted in the
atmosphere, PACs are subjected to dry and wet deposition with different
efficiencies depending on compound physical properties (e.g. vapour pressure,
water solubility, polarity, particle size and mass), ambient conditions
(e.g. air temperature, wind speed, atmospheric stratification), and
precipitation intensity (Keyte et al., 2013; Lei and Wania, 2004;
Shahpoury<?pagebreak page14352?> et al., 2018). The PACs that escape the listed sink processes
disperse via LRAT to remote places, including the Arctic.</p>
      <p id="d1e148">The Arctic region is a receptor of gas- and particulate-phase pollution from
diverse source regions at lower latitudes. However, the lower troposphere of
the high Arctic is in general well isolated from the rest of the atmosphere
due to the very cold air masses located in this region
(Bozem et al., 2019), which build the
so-called polar dome with the Arctic front as its boundary, formed by the
surfaces of constant potential temperature (Klonecki, 2003;
AMAP, 2015). Air masses inside and outside the polar dome have different
chemical compositions (Klonecki, 2003; Bozem et al., 2019; Willis et al.,
2019), confirming the barrier function of the dome. Only the air masses
cooled to similar low potential temperatures to those within the polar dome area
can penetrate it (Klonecki, 2003).</p>
      <p id="d1e151">During the winter and early spring the Arctic front can move as far south as
40<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N with its greatest extent over cold areas of northern Eurasia
(AMAP, 2015). It allows a direct low-level transport of air masses from
the areas located north of the Arctic front (within the polar dome) to the
Arctic lower troposphere. This pathway provides the most rapid
(about 10–15 d; Stohl, 2006) and efficient pollution
delivery to the high Arctic lower troposphere due to low wet scavenging and
absence of photochemical degradation processes during the winter polar night,
which lasts for about 3.5 months. The average precipitation amount per month
is only 14–57 mm during winter and spring in different European Arctic areas
(Hanssen-Bauer et al., 2019).</p>
      <p id="d1e163">At polar sunrise, the number of oxidants significantly increases in the
Arctic troposphere (Barrie and Platt, 1997; Atlas et al., 2003; Simpson
et al., 2007; Monks, 2000). Direct photolysis and reactions with atmospheric
oxidants (e.g. hydroxyl and nitrate radicals, ozone, nitrogen dioxide) in
the gas phase, as well as heterogeneous (gas–particle) reactions, are the
dominant loss processes for most PAHs. PAHs' lifetimes towards photochemical
degradation range between 1 h and 14 d (Keyte et
al., 2013). In the Arctic, the atmospheric reactions play a significant role
during spring as other sink processes, wet and dry deposition, are limited
due to rare precipitation and low vertical turbulence of stably stratified
cold air. This may cause the buildup of nitro- and oxy-PAHs though
nitro-PAHs degrade quickly (lifetimes of both particulate- and gaseous-phase compounds range between 6 min and 3 h; Reisen and Arey, 2005; Fan et
al., 1996) by direct photolysis even under cold conditions. A similar
outcome may be presumed for oxy-PAHs based on their photolysis and
photochemical degradation rates (Miet et al., 2014; Kameda, 2018; Ringuet
et al., 2012; Matsuzawa, 2000).</p>
      <p id="d1e167">At the same time, the Arctic front starts receding during spring, and by
summer, it has significantly retreated northward to about 73.5<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
at longitudes between 134 and 17<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W according to recent estimates (Bozem et al., 2019), though
the front is not symmetrical. This means potential air pollution sources are
located south of the Arctic front barrier. Also, the wintertime atmospheric
transport of air masses from northern Eurasia, promoted by a seasonal
intensification of Siberian high and Icelandic low systems, weakens in
summer due to a change in land–sea temperature contrasts. Consequently, in
summer, the LRAT path to the Arctic shifts to a cleaner one, from the North
Atlantic Ocean (Stohl, 2006) with no significant potentially
impacting PAC sources along the LRAT route. The summer LRAT to the Arctic is
a slow process, as uplifted (at source or at the Arctic front) emissions are
transported to the higher troposphere with further descent into the Arctic
lower troposphere from above through radiative cooling (about 1 K d<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Klonecki, 2003). Descent from the upper troposphere to the
near-ground layer typically takes several weeks (AMAP, 2015). This is a
long time of exposure to 24 h midnight sun Arctic summer conditions. PACs
may significantly degrade (Singh et al., 2017; Kameda, 2018; Matsuzawa,
2000; Cvrčková and Ciganek, 2005; Cvrčková et al., 2006;
Ringuet et al., 2012). Furthermore, the lifting of polluted air masses at
lower latitudes is typically associated with cloud formation and
precipitation (AMAP, 2015) by which soluble and particle-associated
PACs can be scavenged from the atmosphere before entering the Arctic dome as
well as within the Arctic (Willis et al., 2018).</p>
      <p id="d1e200">Thereby, the Arctic front location and permeability, the large-scale
circulation in the Arctic, available solar radiation, and the precipitation
regime affect the magnitude of PACs' LRAT to the Arctic lower troposphere,
enhancing transport during winter and inhibiting it during summer
(Klonecki, 2003; Stohl, 2006; Bozem et al., 2019), when local regional
sources become more important and differ across the Arctic (Wang et al.,
2010; Stohl, 2006; Keegan et al., 2014; Berthiaume et al., 2020). It also
depends on the Arctic oscillation mode (Eckhardt et al., 2003; Madonna et
al., 2014; Stohl et al., 2002), weather along the transport pathway (sea ice
extent, air and ocean temperatures as they influence phase partitioning and
vertical turbulence), primary emissions strength at lower latitudes, and
local high Arctic meteorological conditions.</p>
      <p id="d1e203">The Svalbard archipelago (74–81<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–35<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) is the northernmost land in the European Arctic. Due to
its location relative to the low-pressure systems in the Norwegian Sea
(Hanssen-Bauer et al., 2019), Svalbard frequently receives air masses
from Eurasia. Svalbard is located at the gateway of both atmospheric and
oceanic heat transport into the central Arctic (Serreze et
al., 2007) as the Gulf Stream and the North Atlantic cyclone track are along
its west coast. The region has experienced its greatest temperature increase
during the last 3 decades (Nordli et al., 2014; Isaksen et al.,
2016), and it is the warmest location in the Arctic above 76<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
latitude (Wickström, 2020) with consequently one of the most
visible changes associated with Arctic amplification (Hanssen-Bauer
et al., 2019; Isaksen et al., 2016; van Pelt et al., 2016; Onarheim et al.,
2014; Dahlke et al., 2020; Wickström et al., 2020a). Thus, Svalbard is
currently identified as an<?pagebreak page14353?> epicentre of climate change and perhaps the main
receiver of air pollution from high-latitude Eurasian sources.</p>
      <p id="d1e233">PAHs are chemicals of emerging concern in the Arctic (Balmer and
Muir, 2017). Their occurrence has been monitored at several Arctic stations
for over 30 years (Yu et al., 2019; Balmer et al., 2019), including one
in Svalbard (Zeppelin station, Ny-Ålesund; 78<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N,
11<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>53<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 474 m a.s.l.). Located on the mountaintop, the
station is often above a temperature inversion layer, making it ideal for
LRAT pollution observations with minimal influence of near-ground pollution
plumes (Eckhardt et al., 2013). On the other hand,
local source emissions are often not detected at this elevation and are
systematically considered negligible though their emissions may
significantly contribute to Arctic air pollution (Eckhardt et al., 2013;
Aliabadi et al., 2015; Ferrero et al., 2016; Law et al., 2017; Schmale et
al., 2018). Thus, the primary purpose of this work was to quantify the
occurrence of 86 PACs in the high Arctic lower troposphere, including PAHs,
as well as nitro- and oxy-PAHs (a list of the compounds and abbreviations is
available in Tables S1–S3), which are not yet included in the circum-Arctic
monitoring programmes. This study was performed over 8 months in Svalbard, 115 km southwest of Ny-Ålesund, in the most populated town of Longyearbyen.
During this period, seasonal changes were observed in terms of ambient
temperature, absolute humidity, surface albedo, prevailing wind direction,
air mass inflow, chemical composition of the troposphere, precipitation
type and intensity, and cloud height and thickness, as well as an extreme shift
from polar night conditions to a completely sunlit period and a seasonal
variation in human activities. The detailed objectives in this work were to
investigate the PACs' seasonal variations in concentrations and substance
patterns and study the potential influence of local anthropogenic emissions
on them, as the air samples (gaseous and particulate phases) were collected
within the boundary layer.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Sampling site</title>
      <p id="d1e287">The study was performed in the Arctic town of Longyearbyen (78.22<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 15.65<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) on the west coast of Svalbard (Fig. S1) from November 2017 to June 2018. As a result of the high-latitude location, the sun in
Longyearbyen remains below the horizon between late October and mid-February
(polar night). On the contrary, it does not set between mid-April and the
end of August (midnight sun or polar day; Fig. S2).</p>
      <p id="d1e308">Longyearbyen is the largest populated place among the northernmost settlements,
with about 2400 permanent residents (Statistics Norway, 2020) and a
seasonal increase due to tourism, mainly in spring and summer. The local
coal-fired power plant (30 771 t yr<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of coal and 419 t yr<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of diesel consumption (Miljødirektoratet, 2018)) and
car traffic (1558 vehicles (Statistics Norway, 2018)) are the main
permanent local sources of PAC/anthropogenic emissions
(Drotikova et al., 2020), while snowmobiles (2135
vehicles (Statistics Norway, 2018)) and marine (718 local boats
(Statistics Norway, 2018) and 345 cruise ships (Kystdatahuset,
2018)) traffic are seasonal. There is no local waste incineration and wood
burning registered in the town.</p>
      <p id="d1e335">Svalbard's topography is predominantly mountainous. The prevailing wind
direction over the archipelago is from the eastern sector as a consequence
of Svalbard's location relative to the low-pressure systems in the Norwegian
Sea (Isaksen et al., 2016). Influenced by local
orography, it creates the predominant southeasterly winds in Longyearbyen.
Sampling equipment was installed on the roof of the University Centre in
Svalbard (UNIS, 25 m a.s.l.), which is considered to represent near-surface air
pollution. UNIS is located in Adventdalen (Advent Valley in English), 300 m from Adventfjørden,
and surrounded by mountaintops primarily below 1000 m (Fig. S1c).
Considering the southeasterly prevailing wind direction and katabatic winds
from the glaciers Longyearbreen and Larsbreen, nearly all year round UNIS is
located downwind of the town (600 m distance) and the two main gateways
(Adventdalen and Longyeardalen – Longyear Valley in English) that are largely used for snowmobile driving
during winter and spring. In summer, the wind direction can temporarily
change to northwesterly (Dekhtyareva et al., 2016;
Niedźwiedź, 2013), making the UNIS position downwind of the coal-burning
power plant (1 km distance from UNIS) and the harbour (5 km distance from UNIS).
UNIS is also surrounded by paved roads that are used by cars all year round
(Fig. S1c).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Sample collection</title>
      <p id="d1e346">Particulate and gaseous PACs were collected on quartz fibre filters (QFFs;
pre-burnt at 450 <inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 6 h; <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mi mathvariant="normal">∅</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">103</mml:mn></mml:mrow></mml:math></inline-formula> mm; no binder;
Munktell Ahlstrom, Finland) and polyurethane foams (PUFs; Soxhlet pre-cleaned
in toluene for 24 h followed by 24 h acetone wash; <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mi mathvariant="normal">∅</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">65</mml:mn></mml:mrow></mml:math></inline-formula> mm; <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi>L</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> mm; Klaus Ziemer GmbH, Germany), respectively, using a high-volume
air sampler (TISCH-1000-BLXZ, Tisch Environmental Inc., USA). On average,
370 m<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of ambient air was collected over 24 h per sample (Table S4).
Meteorological parameters, including ambient temperature, atmospheric
pressure, wind speed and direction, relative humidity, and UV radiation,
were recorded at Gruvefjellet (78<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>12<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 15<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>37<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 464 m a.s.l.) and Adventdalen (78<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>12<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 15<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>49<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 15 m a.s.l.)
automatic weather stations at a 2.6 and 4.6 km distance from the sampling site,
respectively (Table S6).</p>
      <p id="d1e480">A total of 31 samples (31 QFFs and 31 PUFs) and 8 field blanks were
collected. All samples were kept intact inside the sampling unit after
collection. In order to reduce the risk of post-collection contamination,
the unit was sealed in two plastic bags for transportation to the lab, where
samples were<?pagebreak page14354?> removed from the unit, sealed with layers of aluminium foil,
and stored airtightly in two plastic bags. Samples were kept frozen at <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C until sent to the French National Institute for Industrial Environment
and Risks (Ineris, France) by express delivery using cool, insulated
containers, and then they were stored at <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C until analysis.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Atmospheric stability, boundary layer height (BLH), and LRAT evaluation</title>
      <p id="d1e529">The atmospheric layer between the Adventdalen (17 m a.s.l.) and Gruvefjellet
(466 m a.s.l.) weather stations was studied. The potential temperatures <inline-formula><mml:math id="M33" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> at 17 and 466 m a.s.l. heights were calculated following Wallace and Hobbs
(2006):
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M34" display="block"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:mi>T</mml:mi><mml:mo>⋅</mml:mo><mml:msup><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1000</mml:mn><mml:mi>p</mml:mi></mml:mfrac></mml:mstyle></mml:mfenced><mml:mi>k</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M35" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula> is temperature [K], <inline-formula><mml:math id="M36" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> is pressure [mbar], and <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.286</mml:mn></mml:mrow></mml:math></inline-formula> is a gas
constant derived from the Poisson equation. The average temperature
inversion strength (TIS) [K], expressed as the potential temperature
difference <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">466</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">17</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, was evaluated
(Arya, 1999).</p>
      <p id="d1e610">Turbulence probability (atmospheric stratification) within the atmospheric
layer of 449 m thickness between the stations was assessed via the bulk
Richardson number (<inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>):
            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M40" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mi>g</mml:mi><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi>U</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the average virtual potential temperature between the two
stations and <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>U</mml:mi></mml:mrow></mml:math></inline-formula> are the
differences in height, virtual potential temperature, and wind speed at the
two stations, respectively (Wallace and Hobbs, 2006). As the layer is
thick, likely some sharp gradients of temperature and wind speed in the
subregions of this layer are averaged out; a thus higher value of critical
<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was used to assess the probability of turbulence. The turbulence
probability decreases linearly as the value of <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> increases from
0.25 to 10.25 (Stull, 1988). The <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> value of 5.25 was used to
indicate a probability of turbulent mixing within the layer
between the two stations, i.e. stable stratification, of less than 50 %.</p>
      <p id="d1e751">ERA5 data have been utilized to investigate the synoptic-scale
meteorological conditions and BLH over Svalbard for the measurement period.
ERA5 is the global reanalysis data set with an hourly output frequency and the
horizontal and vertical resolutions of 31 km and 137 levels, respectively
(Copernicus C3S, 2017; Hersbach et al., 2020). BLH in the ERA5 data set
is based on <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> calculations for the specific vertical layer and
surface. The values of <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mi>i</mml:mi></mml:mrow></mml:math></inline-formula> superior to 0.25 indicate stable stratification,
and the BLH is diagnosed where the <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> exceeds this critical value
(ECMWF, 2017).</p>
      <p id="d1e786">An extended version of the FLEXPART air parcel trajectory data set of
Läderach and Sodemann (2016) and Fremme and Sodemann (2019) was used to
study the LRAT of pollutants to the measurement sites. FLEXPART V8.2 is a
3-dimensional Lagrangian particle dispersion model driven with the
meteorological data from the European Centre for Medium-Range Weather Forecasts
(ECMWF) ERA-Interim reanalysis (Stohl et al., 2005; Dee et al., 2011)
with a spatial resolution of approximately 80 km and temporal resolution of
6 h. The current FLEXPART data set contains the horizontal and vertical
position of 5 million air parcels that represent the global atmosphere.</p>
      <p id="d1e790">The 10 d backward trajectories have been extracted from the data set. The
trajectories' points corresponding to the first day of the simulation were
not considered since most of them were over the Svalbard region. The
trajectories start at the height between 0 and 500 m above the ground in the
region covering both Ny-Ålesund and Longyearbyen (from 77.5
to 79.5<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and from 10 to 20<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). The
number of trajectories starting in this vertical layer in the data set
varied from 1395 to 4659 per season (Table S5). To investigate the LRAT of air
pollutants from mid-latitudes to Svalbard, only the trajectories that reach
latitudes below 70<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and end up below the local BLH were
considered. The air masses that fit these criteria are potential sources of
long-range air pollution to the Arctic from ground-based emissions at the
lower latitudes. Additionally, in order to assess atmospheric pollutants'
possible removal via precipitation, the specific humidity was extracted at
each time step along the trajectories. The specific humidity reduction on a
value of <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>q</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> g kg<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at the consecutive time
steps indicates the removal of water vapour from air masses and precipitation
events (Läderach and Sodemann, 2016). The precipitation from
the air parcels with temperatures above (below) 0 <inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C was
considered rainfall (snowfalls).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Analytical procedures</title>
      <p id="d1e864">A detailed description of the analytical protocols used has been published
previously (Tomaz et al., 2016; Albinet et al., 2006,
2013, 2014; Srivastava et al., 2018). Slight modifications
have been applied here. In brief, a known amount of several surrogates
(6-methylchrysene, three deuterated oxy-PAHs, including
benzo[<italic>a</italic>]anthracene-7,12-dione-d4 (98 %, TRC, Canada) to quantify the
heavier oxy-PAHs, and seven deuterated nitro-PAHs) were added to the samples
prior to extraction. Gaseous-phase PACs were extracted from PUF samples with
acetone (two cycles of 80 <inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, 100 bar, 5 min heat time, 15 min
static time) using pressurized liquid extraction (ASE 350, Thermo
Scientific, USA). Sample extracts were then reduced under a nitrogen stream
to a volume of about 200 <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> (TurboVap II, Zymark, USA) and adjusted to
1 mL with acetonitrile. A fraction (900 <inline-formula><mml:math id="M59" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>) was dedicated to the PAH
analyses, while another (100 <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>) was used for nitro- and oxy-PAH
quantification. Particulate-phase PACs were extracted from a 47 mm diameter
QFF sample punch applying a QuEChERS (quick, easy, cheap, effective, rugged,
and safe)-like method with 7 mL acetonitrile (Albinet et al., 2013, 2014). The 2 and 3.5 mL of supernatant were then reduced<?pagebreak page14355?> to near
dryness under a nitrogen stream and reconstituted into 500 and 100 <inline-formula><mml:math id="M61" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> of acetonitrile for PAH and nitro-/oxy-PAH analyses, respectively.
The PUF and QFF extracts dedicated to the analysis of oxy- and nitro-PAHs
were purified by solid-phase extraction before analysis: first with neutral
alumina (Al<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, 500 mg, Macherey-Nagel, Germany) and then with
unmodified silica gel (SiOH, 500 mg, Macherey-Nagel, Germany). All the
extract volumes were then reduced to near dryness under a gentle nitrogen
stream, reconstituted with acetonitrile (100 <inline-formula><mml:math id="M64" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> for PUFs and 50 <inline-formula><mml:math id="M65" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> for QFFs) and spiked with a known number of two labelled internal
standards prior to further analysis.</p>
      <p id="d1e958">The 22 PAHs were analysed by ultra-high-performance liquid chromatography (UHPLC) with fluorescence detection (UHPLC-fluorescence; Dionex UltiMate 3000,
Thermo Scientific, USA) using a C18 UHPLC column (Zorbax Eclipse PAH, <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.1</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow><mml:mo>×</mml:mo><mml:mn mathvariant="normal">150</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow><mml:mo>×</mml:mo><mml:mn mathvariant="normal">1.8</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:mrow></mml:math></inline-formula>, Agilent, USA; 3 <inline-formula><mml:math id="M67" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula>
injected). Gas chromatography in combination with negative ion chemical ionization mass spectrometry (GC-NICI/MS) under single ion monitoring (SIM) mode (Agilent 7890A GC coupled to 5975C MS,
Agilent Technologies, USA) was used to quantify 35 nitro-PAHs and 29
oxy-PAHs. The compounds were separated on a Rxi-PAH column (<inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:mo>×</mml:mo><mml:mn mathvariant="normal">250</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.10</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:mrow></mml:math></inline-formula>, Restek, USA). A total of 1 <inline-formula><mml:math id="M69" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">L</mml:mi></mml:mrow></mml:math></inline-formula> of the
purified extracts was injected into the pulsed splitless mode for
analysis. In addition, elemental carbon (EC) and organic carbon (OC) were
measured on dedicated 1.5 cm<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> filter punches using a Sunset
Laboratory analyser according to the EUSAAR-2 thermal protocol
(Cavalli et al., 2010; CEN, 2017).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Quality assurance and quality control</title>
      <p id="d1e1061">In order to evaluate the background contamination related to sample
collection and analysis, PUF and QFF field (<inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>) and laboratory
(<inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>) blanks were performed. Low contamination of laboratory blanks was
confirmed. Field blank contamination higher than 30 % of the seasonal
average concentrations was determined for 2,2<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>-biphenyldicarboxaldehyde,
2,3-naphthalenedicarboxylic anhydride, and 1,8-naphthalic anhydride for the
gaseous phase. These compounds, in this phase, were excluded from the
results. No blank correction was performed for the concentration
calculations. Samples showing PAC concentrations below the limit of
quantification (LOQ) were replaced by LOQ <inline-formula><mml:math id="M74" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 2 for further calculations. The
instrumental LOQ was defined as the lowest concentration of the compound
that can be determined for a signal-to-noise ratio <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mo>/</mml:mo><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>. This
evaluation was performed using the lowest-concentration standard solution.</p>
      <p id="d1e1120">Acceptable PAC surrogate recoveries were obtained and ranged between 53 %–120 %. Quality of the PAH analyses was assessed following the European
Committee for Standardization (CEN) standard procedures EN 15549:2008 and TS
16645:2014 (CEN, 2008, 2014). In addition, Ineris routinely
participates in national and European PAH analytical inter-comparison
biannual exercises. The last exercise results were in good agreement with
reference values, including those for the QuEChERS extraction
(Verlhac et al., 2015; Bailleul and Albinet, 2018).</p>
      <p id="d1e1123">The analytical procedures were also validated (<inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>) using NIST standard
reference material (SRM 1649b, urban dust). The obtained results were in
good agreement with NIST-certified (Table S8), reference, or indicative PAC
values and those previously reported in the literature for oxy- and
nitro-PAHs (Albinet et al., 2013, 2014) as reference
concentration values in SRM do not exist for several compounds.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e1141">Atmospheric temperature, UV radiation, and daily total (gaseous <inline-formula><mml:math id="M77" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> particulate) concentrations of <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Σ</mml:mi><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAHs, <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Σ</mml:mi><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
oxy-PAHs, and <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Σ</mml:mi><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> nitro-PAHs in the urban air of Longyearbyen.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021-f01.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Seasonal variations</title>
      <p id="d1e1206">Individual PAH and oxy- and nitro-PAH, as well as OC and EC, average
concentrations measured in the ambient air of Longyearbyen are presented in
Tables S1–S3, and daily values are presented graphically in Fig. 1. Large
seasonal variations were observed for all the PACs, and the <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
PAH concentration trend was found to differ from the long-term observations
at the background station at Zeppelin mountain (Fig. S3) in Ny-Ålesund,
Svalbard, located 115 km northwest of Longyearbyen. To explain the PAC
concentration trends found here, the measurement data set was divided into four periods (P1–P4) based on weather and light conditions (Fig. S2) and
potential sources as follows: November to January (dark winter, P1),
February (twilight winter, P2), March to April (daylight spring, P3), and
May to June (polar day summer, P4). The full details on sample grouping and
weather conditions are outlined in the Supplement (Tables S4 and S6).</p>
<sec id="Ch1.S3.SS1.SSS1">
  <label>3.1.1</label><title>Winter and spring cold P1–P3 periods</title>
      <p id="d1e1227">The winter season (P1–P2) is characterized by the most considerable weather
fluctuations due to the large-scale temperature and pressure gradients
between midlatitudes and the Arctic (Sjöblom, 2010). During the
sampling period the temperatures ranged from <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, being <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on average. In winter, the Arctic
weather is strongly controlled by extratropical cyclones, commonly referred
to as low-pressure systems, which are at their strongest and most frequent
in December–February (Zhang et al., 2004) and have demonstrated an
increasing tendency in the areas around Svalbard over the last few decades
(Wickström et al., 2020b). These cyclones are the
main atmospheric heat source to the Arctic in winter (Fig. S4), and they are
also associated with high winds and precipitation (Wickström,
2020). Such inflows from southern latitudes interrupt the Arctic atmosphere
thermal stability and cause the BLH fluctuations (Fig. 2). The southeasterly
wind was observed during all the sampling days in the cold P1–P3 periods
(Fig. S5a). Thus, the sampling site was upwind of the coal-burning emissions at
the power plant in winter and spring (Fig. S1c).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1280">Box plots of atmospheric characteristics (boundary layer height
BLH, thermal inversion strength TIS, bulk Richardson number <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> as
characteristic of thermal stability of air layer); summed PAC (G <inline-formula><mml:math id="M88" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> P), EC, and OC
concentrations; and the gasoline emissions PAH diagnostic ratio values
((BghiP <inline-formula><mml:math id="M89" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Cor) <inline-formula><mml:math id="M90" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M91" display="inline"><mml:mo>∑</mml:mo></mml:math></inline-formula>PAH<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:math></inline-formula>). Data are for the November–January (P1;
<inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>), February (P2; <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>), March–April (P3; <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>), and May–June (P4;
<inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula>) periods. The boxes represent the 25th and 75th percentiles
of the data. The lines in the boxes and diamond symbols represent the median
and the mean, respectively. All the outliers beyond the whiskers are shown
individually.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021-f02.png"/>

          </fig>

      <?pagebreak page14356?><p id="d1e1386">The average P1 winter <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAH total (gaseous and particulate,
G <inline-formula><mml:math id="M98" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> P) concentrations were <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mn mathvariant="normal">1068</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">449</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The level of <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxy-PAHs (<inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mn mathvariant="normal">5934</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1480</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) was about 6-fold higher
than PAHs, while <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> nitro-PAHs (<inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mn mathvariant="normal">84</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">19</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were
an order of magnitude lower. As discussed earlier, the LRAT of pollutants to
the Arctic lower troposphere is maximum in winter, and the PAH multidecadal
monitoring data from the Zeppelin station reflect this trend well
(Fig. S3 and Yu et al., 2019). The measured PAH
concentrations in Longyearbyen were similar (about 19 % higher) to those
detected at the Zeppelin station (Table S7), confirming LRAT of
anthropogenic pollutants as a dominant source of PAHs in the Arctic air
during winter. According to the 10 d back-trajectory analysis, the
transported air masses in winter mainly originated from the European sector,
including the areas of Scandinavia, northern Europe, western Russia, and the
West Siberian plain (Fig. 3a). Compared to the winter 2018 PAH levels in the
background continental air in northern Finland (Pallas, Matorova station;
68<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>00<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 24<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>14<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 340 m a.s.l.), from where the air masses
are frequently delivered, the Longyearbyen PAH concentrations are a
factor of 2 lower (Table S7), which may give us a rough estimation of the
PAHs' LRAT efficiency though it largely depends on the weather along the
transport pathway, as discussed earlier.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1542">The 10 d backward trajectory probability maps for the air masses
originating from a source area boundary layer and arriving at 0–500 m above
the region of interest in Svalbard. The trajectories' points corresponding
to the first day of the simulation are not considered since most of the
points for this day are over the Svalbard region. Data are for the
November–January P1 <bold>(a)</bold>, February P2 <bold>(b)</bold>, March–April P3 <bold>(c)</bold>, and May–June
P4 <bold>(d)</bold> periods.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021-f03.png"/>

          </fig>

      <p id="d1e1563">At the end of January, the Longyearbyen area starts receiving sunlight. This
promotes photochemical processes and notably PAC degradation. As a
consequence, a factor of 5 lower PAH concentrations were measured at the
Zeppelin station in spring compared to the winter levels (Table S7), also in
agreement with earlier studies (Singh et al., 2017; Halsall et al., 1997;
Fu et al., 2009). In contrast, a double concentration of <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">86</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PACs (<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mn mathvariant="normal">13</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">277</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1295</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) was detected in Longyearbyen air in February (P2),
and even higher levels (<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mn mathvariant="normal">19</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">281</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4876</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were found during
the March-to-April period P3. A pronounced increase in concentrations was
revealed for most of the compounds. Compared to the winter levels, a 6-fold
increase was detected for <inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAHs (<inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mn mathvariant="normal">5902</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2421</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), and 2-fold-higher concentrations of <inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxy-PAHs
(<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mn mathvariant="normal">13</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">229</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2681</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and <inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> nitro-PAHs (<inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mn mathvariant="normal">150</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">34</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were determined in spring P3. These levels are about 1 order of magnitude lower than the average European urban and suburban PAC
concentrations measured during cold seasons (Tomaz et al., 2016; Albinet
et al., 2008), though the difference is less pronounced with the annual
levels in background air (Nežiková et al., 2020): the
sum spring concentrations of PAHs (<inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula>) and high-molecular-weight (HMW) oxy-PAHs (<inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>) were
about a factor of 2 lower, while low-molecular-weight (LMW) oxy-PAHs (<inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>) and the sum nitro-PAHs
(<inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula>) were in a similar range to up to 1 order of magnitude higher.
Several individual PAC concentrations increased by a factor of 2 to 525
(depending on the compound) compared to the winter levels, and several of
them significantly exceeded (more than twice) the annual mean urban levels
in central Europe (Tables S1 to S3; Tomaz et al., 2016; Albinet et al.,
2008). As for the Arctic scale, the <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAH concentrations
measured at UNIS were a factor of 30 higher than those at the Zeppelin
background station (oxy- and nitro-PAHs are not monitored at the station;
Table S7). Such a large difference implies a significant contribution of
local emissions to the overall PAC levels in Longyearbyen as the UNIS and
Zeppelin stations have similar air masses transport from lower latitudes.
According to the backward trajectory probability analysis, in spring, the
source regions shifted from east to west and significantly northward: from
continental locations in Russia and Europe (P1–P2; Fig.<?pagebreak page14357?> 3a–b) to marine ones
over the North Atlantic (Fig. 3c), mainly from the area north of the 75 <inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude with no significant PAC sources. Thus, the influence
of local emissions might be prevailing in spring.</p>
      <p id="d1e1810">Regional high Arctic weather conditions established by spring favour
pollution accumulation in the near-ground air layer. Continuous radiative
cooling of snow-covered surfaces during several months of the polar night
results in low temperatures at the ground, which creates thermally very
stable air stratification. The median values of <inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">Ri</mml:mi><mml:mi mathvariant="normal">bulk</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for P2 and P3
periods were significantly higher than 5.25 (Fig. 2), indicating reduced
vertical air mixing (Stull, 1988). Strong temperature inversions were
frequent during this period with a median TIS of about 4.5 K. The
inversion events were the most persistent in spring due to typical sustained
cold ambient temperatures (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">13.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on average) in
March and April (P3). The estimated BLHs were as low as <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">79</mml:mn></mml:mrow></mml:math></inline-formula> m
with a minimum of 19 m under calm (1.9 m s<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> wind as the median), cold (<inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)
conditions (Table S6). Thus, the spring near-ground PAC
concentrations were greatly influenced by local emissions, which were
frequently trapped beneath an inversion layer, and their dilution was limited
to a very shallow volume of cold air under suppressed vertical mixing
conditions. In addition, for secondary species<?pagebreak page14358?> such as nitro- and oxy-PAHs,
secondary formation processes could also occur during these periods and
might be promoted by such meteorological conditions. This will be further
discussed in a forthcoming article.</p>
      <p id="d1e1891">Similarly to PACs, about 2-fold-higher EC and OC concentrations were measured
in P2 and P3 periods (Fig. 2 and Table S1), and the peak values were found
on weekends and during the Easter holidays. This highlights that a large
part of OC was probably related to primary combustion emissions in these
periods, although secondary processes (formation of secondary organic
aerosols) may occur (Hallquist et al., 2009; Heald and Kroll, 2020;
Jimenez et al., 2009; Kroll and Seinfeld, 2008). The coal-burning emissions
from the power plant were upwind during all the sampling days. Thus, this
source probably had no impact on the concentrations and patterns observed.
Car traffic intensity is quite steady through winter to spring (P1–P3), and
the same emission intensities are presumed as those of similarly cold ambient
temperatures during these periods. However, significantly higher values of
the ratio (BghiP <inline-formula><mml:math id="M138" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Cor) <inline-formula><mml:math id="M139" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M140" display="inline"><mml:mo>∑</mml:mo></mml:math></inline-formula>PAHp, representative of gasoline emissions
(sum of filter concentrations of 12 PAHs mainly present in the particulate
phase (PAHp), from benzo[<italic>a</italic>]anthracene to coronene according to our
observations; Table S1) (Marchand et al., 2004; Albinet et al., 2007)
were noticed during and after the polar sunrise (P2 and P3, respectively)
compared to in the winter period P1 (Fig. 2). Human activities increase greatly
with the sun's return. The town residents already start driving snowmobiles
predominantly for recreational purposes during the twilight period
P2. This is also the main attraction for tourists, the number of which
significantly increases during the spring period P3 (about 16 000 hotel guest nights monthly are registered in March and April;
Statistics Norway, 2016) when the greatest number of snowmobiles (2135
vehicles; Statistics Norway, 2018) are in use.</p>
      <p id="d1e1918">The Longyearbyen snowmobile park predominantly consists of four-stroke engine
touring vehicles (60–150 hp, ca. 45–112 kW) and a small number (about 10 %) of two-stroke
modern (sport models) and old snowmobiles (registered before 2010). All the
snowmobiles are gasoline driven (10–20 L per 100 km; NS-EN 228 Norwegian
standard winter gasoline 95 no. 2 with up to 15 % MTBE (methyl tert-butyl
ether); Jøran Storø, LNS Spitsbergen, personal communication, 2020)
with an addition of synthetic oil (about 2 L per 100 km) for two-stroke
engines. Snowmobile emissions constitute a significant source of carbon
monoxide, nitrogen oxides (NO<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>), particles, aldehydes, and a large number
of aromatic hydrocarbons (Sive et al., 2003; Bishop et al., 2001; Shively
et al., 2008; Zhou et al., 2010; GYC, 2011); further, several studies have
confirmed significant contamination of snow along a snowmobile track by PAHs
(McDaniel and Zielinska, 2014; Rhea et al., 2005; Oanh et al., 2019). Due
to potentially hazardous consequences related to the emissions, the use of
snowmobiles is regulated and controlled in the USA with the summed hydrocarbons and
carbon monoxide emission limits of 15 and 90 g kW h<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
respectively (U.S. NPS, 2015). Significantly higher
concentrations of numerous aromatic hydrocarbons were measured<?pagebreak page14359?> in
Longyearbyen air in spring 2007 caused by snowmobile driving
(Reimann et al., 2009). The last decade's shift from two- to
four-stroke snowmobile engines, including in Svalbard, has reduced CO
emissions. However, the recent inventory of 2017–2021 production year
snowmobiles (499–1056 cm<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> engine displacement; EPA, 2020) still
shows emissions of hydrocarbons (and
probably PACs) up to an order of magnitude higher from two-stroke modern sleds, the small number of which in
Longyearbyen can cause severe air pollution (Reimann et al.,
2009). In conclusion, the results obtained here highlighted a strong impact
of the snowmobile emissions on the ambient air PAC concentration levels
observed.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <label>3.1.2</label><title>Summer P4 period</title>
      <p id="d1e1959">The Arctic lower troposphere's summer composition is primarily controlled by
local Arctic weather conditions and local anthropogenic and natural emission
sources due to a less efficient LRAT mechanism and enhanced sink processes for
PACs. The influence of the midlatitude emissions is more pronounced at
higher altitudes because the summer atmospheric transport is directed to the
higher troposphere (Klonecki, 2003; Stohl, 2006; Bozem et al., 2019). The
Arctic age of summer air near the surface north of 75<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is 13–17 d (Stohl, 2006), and the estimated travel time for gaseous
pollutants is about 3 weeks (Bozem et al.,
2019) while particles are efficiently scavenged by wet precipitation
(Willis et al., 2018, and Table S5). Thus, local emissions
are of great importance in summer in the high Arctic.</p>
      <p id="d1e1971">Increased incoming solar radiation (24 h of sunlight) and warmer ambient
temperatures are the most notable changes in the high-latitude summer.
During the sampling period P4 the temperatures ranged from <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">9.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C with an average value of <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on
the sampling days. Loss of land-based snow cover and retreat of sea ice
decrease surface albedo, which consequently creates the dominance of
downward short-wave radiation in contrast to the spring period P3 (Fig. 1).
Moreover, large areas of open ocean and increased solar insolation create
relatively high atmospheric humidity. It allows the formation of low-level
liquid-containing clouds (Browse et al., 2012), which
are ubiquitous in the Arctic during summer (Lawson et al., 2001; Cesana
et al., 2012). These low-level clouds and fogs produce frequent drizzle,
which leads to efficient removal of particle-associated
(Browse et al., 2012) and gaseous-phase
water-soluble pollutants, including the PACs (Lei and Wania, 2004;
Shahpoury et al., 2018). Thereby, the Arctic troposphere during summer is
generally cleaner than in winter (AMAP, 2006; Stohl et al., 2007) and is
often considered pristine (Browse et al., 2012; Garrett et al., 2010).
The 2-decade atmospheric measurements at several high Arctic monitoring
stations confirm that PAH concentrations throughout the year are minimal
during summers (Yu et al., 2019). The summer PAH levels
are usually 1–2 orders of magnitude lower than in winter and often close to
detection limits (Table S7 and Yu et al., 2019; Prevedouros et al., 2004;
Singh et al., 2017). Nonetheless, summer <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAHs concentrations
(<inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mn mathvariant="normal">1779</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1210</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) measured in Longyearbyen air were about
67 % higher than the winter P1 levels (Table S1). For individual PAHs, the
largest differences (concentrations <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> times higher in summer) were
observed for phenanthrene, 1- and 2-methylnaphthalene, pyrene, acenaphthene,
and chrysene while other compounds showed comparable concentrations in both
seasons. The <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxy-PAH (<inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mn mathvariant="normal">7219</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1692</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
concentrations were 22 % higher, while the levels of <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
nitro-PAHs (<inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mn mathvariant="normal">66</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were 22 % lower (Tables S2–S3) during
P4 compared to winter P1. The PAH levels observed in Longyearbyen were a
factor of 19 higher compared to levels measured at the Zeppelin background
station during the same period of summer 2018 (Table S7), stressing the
predominant contribution of the local anthropogenic emissions. Due to the
town's lower demand for electricity and central heating during brighter and
warmer midnight sun conditions, coal-burning emissions at the power plant
decrease (Bøckman, 2019) as do car traffic emissions
(Statistics Norway, 2016), also because of preferences for biking and
walking within the town. Meanwhile, boat traffic increases dramatically,
mainly due to tourist cruises (about 53 000 vessel passengers during the
summer season; Statistics Norway, 2016) and cargo delivery, and can
significantly contribute to the local air pollution (Eckhardt et al.,
2013; Zhan et al., 2014; Law et al., 2017; Ferrero et al., 2016).</p>
      <p id="d1e2139">Due to the town's coastal location and the summer-specific land–sea thermal
gradient, the northwesterly winds become frequent during summer. These winds
are characterized by lower velocity (4.0 m s<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> as the median) compared to winds that are
southeasterly (7.4 m s<inline-formula><mml:math id="M161" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> as the median), the annual prevailing wind
direction (Table S6). About half of the P4 period air samples were collected
under northwesterly wind conditions (Fig. S5c) when the sampling site was
downwind of the coal power plant and the harbour (Fig. S1c and d). The
Flu <inline-formula><mml:math id="M162" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (Flu <inline-formula><mml:math id="M163" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Pyr) coal combustion diagnostic ratio value of <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.81</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.09</mml:mn></mml:mrow></mml:math></inline-formula>
was found to be similar to previously reported values
(Drotikova et al., 2020) with low variability over
the entire summer sampling period P4, indicating steady contamination from
the power plant. Also, the power plant plumes are emitted at high elevation
(95 m a.s.l.) and a short distance from UNIS (about 800 m) and thus might not
be easily detectable at the UNIS sampling site due to higher BLH, less
frequent thermal inversion events, increased air layers' convection, and
generally windy conditions during summer (4.9 m s<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during P4 sampling
days). However, about 29 %–88 % higher <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">86</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAC, EC, and OC
concentrations were detected on the days with a northwesterly wind, and the
harbour emissions seemed likely responsible for it as substantial air
pollution can be caused by ship emissions when ships are docked and during port
manoeuvering (Huang et al., 2018a). Moreover, these summer PAC
concentrations (measured during the P4 period of May to June 2018) were found to be
about 3-fold higher than<?pagebreak page14360?> those reported previously for the autumn
(measured during the period of late August to September 2018; Drotikova et al., 2020), when ship traffic in the fjord was already
notably lower as the sailing season was close to its end. The average (<inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>) concentrations when the wind blew from the southeast direction (from
Adventdalen; <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>) were for <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAHs <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mn mathvariant="normal">1116</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">278</mml:mn></mml:mrow></mml:math></inline-formula>, for <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxy-PAHs <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mn mathvariant="normal">6557</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1821</mml:mn></mml:mrow></mml:math></inline-formula>, and for <inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> nitro-PAHs <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mn mathvariant="normal">65</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and likely mainly influenced by local car traffic. On average, a factor of 2 and 1.2 higher concentrations of <inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
PAHs (<inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mn mathvariant="normal">2253</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1416</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> oxy-PAHs (<inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mn mathvariant="normal">7691</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1553</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), respectively, were measured on the days with
northwesterly wind (from the harbour; <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>). The <inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
nitro-PAH (<inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mn mathvariant="normal">66</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> pg m<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) level did not change markedly. The
maximum summer concentrations (<inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> PAHs <inline-formula><mml:math id="M187" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4633, <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
oxy-PAHs <inline-formula><mml:math id="M189" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10 256, and <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msub><mml:mo>∑</mml:mo><mml:mn mathvariant="normal">35</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> nitro-PAHs <inline-formula><mml:math id="M191" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 75 pg m<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) were
found downwind of the harbour when the source strength (summed total
tonnage of ships registered in the harbour during the sampling hours) was
maximal and hourly median wind speed varied between 1.8 and 5.7 m s<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
Dispersal of ship plumes and their visibility at a fixed measurement point
are dependent not only on the source strength but also on the atmospheric
stability, wind velocity, and turbulence intensity
(Contini et al., 2011). Higher local air
pollution by ship emissions and its accumulation can be expected at lower
wind speeds, similarly to in the summer 2009 case study in Ny-Ålesund,
Svalbard (Eckhardt et al., 2013).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2523">Correlations of the diagnostic ratios and the sum gross tonnage
(dimensionless) of vessels arriving and departing the harbour of
Longyearbyen during sampling hours on the summer period P4 days when the
UNIS station was downwind of the harbour (<inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>).</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021-f04.png"/>

          </fig>

      <p id="d1e2544">To further highlight ship emissions' influence, only samples collected when the
moderate wind (4.0 m s<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> as the median) blew from the northwesterly sector
(292–313<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>; <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>) were considered (Fig. 4).
The total (arrival <inline-formula><mml:math id="M198" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> departure) gross tonnage of vessels
(Kystdatahuset, 2018) was used as an indicator of local ship traffic. A
correspondence was found between the summed total tonnage of ships
registered in the harbour during the sampling hours and the Flt <inline-formula><mml:math id="M199" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (Flt <inline-formula><mml:math id="M200" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Pyr)
and BaAnt <inline-formula><mml:math id="M201" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> (BaAnt <inline-formula><mml:math id="M202" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> Chry) diagnostic ratios, providing clear evidence of the
harbour emissions' contribution (Zhang et al., 2019; Drotikova et al.,
2020). A factor of 4 higher concentrations of the PAHp were measured on the
days with northwesterly wind compared to the days when wind blew from a
southeast direction, which is also in agreement with a recent study on ship
emissions in the harbour of Longyearbyen (Dekhtyareva, 2019). Such a
large increase in particle-associated PAHs also suggests the harbour being the
predominant influence as only about 6 % of the power plant total PAC
emissions (gaseous <inline-formula><mml:math id="M203" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> particulate phases) were associated with the
particulate phase (Drotikova et al., 2020).
Finally, a good correlation of the PAHp <inline-formula><mml:math id="M204" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratio values with the summed
vessels' total tonnage was also found (Fig. 4), highlighting a higher
content of PAHs in OC under such a harbour influence.</p>
      <p id="d1e2630">As a last piece of evidence indicating a significant influence from the harbour, the
OC <inline-formula><mml:math id="M205" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratio values ranged between 2.5 and 7.4 (3.6 as the median) on the
selected days. Marine fuel quality and engine operating conditions cause
large variation in OC and EC emissions. OC <inline-formula><mml:math id="M206" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratio values between 2
and 5 are often detected for low- and high-power diesel-operated vessel
plumes, while the higher values are typical of heavy-fuel-oil engine
emissions (Zhang et al., 2019, 2020; Sippula et al., 2014),
as well as of the ship emissions at low-speed manoeuvering during the
harbour departure and arrival (Zhang et al., 2016; Sippula et al., 2014;
Huang et al., 2018b). Furthermore, a plot of the daily OC <inline-formula><mml:math id="M207" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratio values
versus total tonnage demonstrates the ratio increasing with the tonnage
(Fig. S6).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>PAC chemical profiles and source influences</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>PAH profiles</title>
      <p id="d1e2670">Phenanthrene, fluorene, naphthalene, benzo[<italic>a</italic>]anthracene, and
1-methylnaphthalene accounted for <inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mn mathvariant="normal">76</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> % of total PAHs measured
in Longyearbyen. Phenanthrene was the predominant compound in all the
periods (P1–P4) and accounted for about 30 % on average, being higher
in summer. The contribution of naphthalene varied from 5 % to 24 %,
with a higher proportion in the spring period P3. This compound is not
included in further discussion as it is not source-specific.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2690">Average chemical profiles based on the total (gaseous <inline-formula><mml:math id="M209" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> particulate phases) individual concentrations of PAHs <bold>(a)</bold>, oxy-PAHs <bold>(b)</bold>, and
nitro-PAHs <bold>(c)</bold> for the November–January (P1; <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>), February (P2; <inline-formula><mml:math id="M211" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>),
March–April (P3; <inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>), and May–June (P4; <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula>) periods. Further details
can be found in the Supplement (Fig. S7–S11).</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/14351/2021/acp-21-14351-2021-f05.png"/>

          </fig>

      <p id="d1e2764">The resulting winter profile P1 (Fig. 5a) was dominated by phenanthrene and
fluorene (60 %) with a smaller contribution of about 8 % of
anthracene, which was the highest compared to the other periods. Anthracene is
one of the most reactive PAHs (Keyte et al., 2013).
Its higher proportion in winter may indicate accumulation of anthracene due
to a lower level of atmospheric oxidants under dark conditions during the P1
period.</p>
      <?pagebreak page14362?><p id="d1e2768">The twilight P2 and spring P3 profiles were strongly influenced by
benzo[<italic>a</italic>]anthracene and 1-methylnaphthalene, accounting for 40 % of the
total PAH relative compositions with a higher proportion on weekends and
public holidays, when snowmobile traffic is increased. Comparing the PAH
spring weekend profiles (<inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>) with the rest of the cold-period day
profiles (P1–P3; <inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula>) confirmed a significant increase in the
benzo[<italic>a</italic>]anthracene proportion caused by snowmobiling, as well as the higher
contribution of 1-methylnaphthalene, fluoranthene, acenaphthene, and
coronene to the total PAH profile (Fig. S7). Overall, benzo[<italic>a</italic>]anthracene,
phenanthrene, and 1-methylnaphthalene accounted for 68 % of the average
PAH profile of these days with known high snowmobile traffic. The
predominance of phenanthrene and methylated PAHs in snow samples
contaminated by snowmobile emissions has previously being reported
(McDaniel and Zielinska, 2014), although the contribution of
2-methylnaphthalene and 2-methylfluoranthene in the present study was found to be
negligible. Different engine technologies and fuel quality may have been
responsible for this.</p>
      <p id="d1e2804">Like in winter, phenanthrene and fluorene were the predominant compounds of
the summer PAH profile P4 and accounted for 59 % of it. The proportion of
2-methylnaphthalene was found to be higher in summer. The summer profile
represents an average picture of two sample groups collected under different
wind conditions (direction) and thus influenced by different sources, though
car traffic is similar (Fig. S1c). To investigate the source-specific
emissions, profiles of the days with northwesterly wind (<inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>) were
compared with those samples collected when wind was from Adventdalen (southeasterly wind; <inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>). The difference between the average
profiles was mainly driven by the significantly higher contribution of
fluoranthene, 2-methylfluoranthene, and chrysene on the days with
northwesterly wind from the harbour and the coal power plant (Fig. S8). As
specified above, increased air convection in summer, the sampling site's
proximity to the power plant, and its almost exclusively gaseous emissions
mean that the ground-level emissions from the harbour are more detectable at
UNIS than the high-elevation power plant plumes. Our assumption is supported
by frequent reports of fluoranthene and chrysene as major PAHs in ship
emissions (Huang et al., 2018b; Zhang et al., 2019; Zhao et al., 2020, 2019) and an absence of contribution changes of phenanthrene,
fluorene, and pyrene, the predominant compounds emitted from the power plant
(Drotikova et al., 2020).</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>Oxy-PAH profiles</title>
      <p id="d1e2839">Benzophenone, phthalic anhydride, 9-fluorenone, 1-naphthaldehyde, and
1,2-naphthalic anhydride were the predominant substances and accounted for
<inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mn mathvariant="normal">89</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> % of the total oxy-PAHs in all periods (Fig. 5b). The main
changes in the profiles were caused by a 16 % increased contribution of
benzophenone in spring and a 17 % higher proportion of phthalic anhydride
in summer. Among the minor compounds (ranging from 25 to 400 pg m<inline-formula><mml:math id="M219" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
accounting for about 10 % of the total oxy-PAH profile, higher
proportions of 2,3-naphthalenedicarboxylic anhydride and anthrone were found
in summer. Detailed analysis of the average summer profiles based on
different prevailing wind directions (Fig. S9) did not reveal any primary
local source influence. This may indicate the secondary formation of
phthalic anhydride, 2,3-naphthalenedicarboxylic anhydride, and anthrone from
PAH photochemical reactions (Keyte et al., 2013; Chan et al., 2009;
Perraudin et al., 2007; Bunce et al., 1997; Lee and Lane, 2009). A higher
contribution of 9-fluorenone, 1-naphthaldehyde, 1-acenaphthenone,
6<italic>H</italic>-dibenzo[<italic>b,d</italic>]pyran-6-one, 9,10-anthraquinone, 2-methylanthraquinone, and
benzanthrone to the total oxy-PAH summer profile was discovered on days
with northwesterly wind (Fig. S9). Several of these compounds have previously
been detected in the ship plumes (Zhao et al., 2020; Czech et al., 2017;
Sippula et al., 2014). Note that 9-fluorenone and 9,10-anthraquinone are the
main oxy-PAHs emitted after the local coal burning at the plant
(Drotikova et al., 2020).</p>
      <p id="d1e2872">For the twilight P2 and spring P3 periods, a higher contribution of several
oxy-PAHs was found on weekends and public holidays, namely benzophenone,
9,10-phenanthrenequinone, 2-formyl-<italic>trans</italic>-cinnamaldehyde, anthrone,
9,10-anthraquinone, and benzanthrone (Fig. S10a), and the greatest increases in proportion were found among the minor compounds 1,2-naphthoquinone,
phthaldialdehyde, 2-methylanthraquinone, and 1,8-naphthalic anhydride
(ranging from 33 to 102 pg m<inline-formula><mml:math id="M220" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Fig. S10b). These changes seemed likely
to be caused by higher human activities and mostly snowmobile driving, as
mentioned above. The use of oxidation catalysts as part of four-stroke
snowmobile exhaust after-treatment (Meldrum, 2017) may lead to
efficient oxidation of parent PAHs and consequent formation of their
oxygenated derivatives.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <label>3.2.3</label><title>Nitro-PAH profiles</title>
      <p id="d1e2898">1-Nitronaphthalene and dinitropyrenes accounted for <inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:mn mathvariant="normal">40</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> % of
total nitro-PAHs in all periods (Fig. 5c). The contribution of
1-nitronaphthalene decreased in summer while it increased for
1-nitrobenzo[<italic>a</italic>]pyrene. Different wind directions did not cause notable
changes to the P4 summer profile.</p>
      <p id="d1e2916">The twilight P2 and spring P3 period profiles differ greatly from the winter
P1 and summer P4 total nitro-PAH relative compositions. The P2 and P3
profiles were enhanced by higher proportions of 9-nitroanthracene,
6-nitrochrysene, 3-nitrophenanthrene, 5-nitroacenaphthene, and
3-nitrofluoranthene. A study of daily profiles of the entire cold period
(P1–P3) showed evident pattern changes with a significantly greater
contribution of the listed nitro-PAHs during non-work days (Fig. S11). No
scientific studies on PAC emissions from snowmobiles have been reported yet.
Nonetheless, snowmobile driving is a well-documented major source of a list
of aromatic hydrocarbons (Zhou et al., 2010; Reimann et al., 2009;
Eriksson et al., 2003; Shively et al., 2008), and PAHs were detected in snow
along snowmobile tracks (McDaniel and Zielinska, 2014; Rhea et al.,<?pagebreak page14363?> 2005;
Oanh et al., 2019). Moreover, a factor of 3 higher NO<inline-formula><mml:math id="M222" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions from
snowmobiles compared to gasoline-driven cars in Svalbard are reported by the
Norwegian Climate and Pollution Agency (Vestreng et al., 2009) with the
main contribution from four-stroke snowmobiles. Modern-technology
snowmobiles have a significant side effect of high production of NO<inline-formula><mml:math id="M223" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
(Ray et al., 2012) due to oxidation reactions in exhaust
after-treatment (Aubin et al., 2017). A recent field survey by
Dekhtyareva (2019) in Svalbard also confirmed enhanced NO<inline-formula><mml:math id="M224" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
emissions from snowmobiles. Excess of NO<inline-formula><mml:math id="M225" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> during combustion drives
nitration of PAHs producing nitrated PAH derivatives via electrophilic
substitution (Ringuet et al., 2012; Heeb et al., 2008; Carrara and
Niessner, 2011; Carrara et al., 2010; Hu et al., 2013; Keyte et al., 2013).
Note that pattern changes of the daily total nitro-PAH profiles were the
most easily applicable to recognize snowmobile emissions compared to PAHs and oxy-PAHs,
and 9-nitroanthracene, 6-nitrochrysene, 3-nitrophenanthrene,
5-nitroacenaphthene, and 3-nitrofluoranthene seem to have strong
specificity to the source.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Summary and conclusion</title>
      <p id="d1e2965">LRAT is believed to play a predominant role in Arctic air pollution.
Different seasonal mechanisms of air masses' transport to the Arctic lower
troposphere determine the annual trend of remote sources' contribution with
its maximum in winter and minimum in summer. The results obtained here from
air samples collected within a polar boundary layer at an urban site
revealed the importance of anthropogenic emissions within the Arctic, which
caused a different seasonal trend of PAC concentrations.</p>
      <p id="d1e2968">While the winter PAC levels were found to be mainly influenced by the
northwestern Eurasian emissions, the highest concentrations, with levels
comparable to and even exceeding the European annual mean levels, were measured
in spring, the coldest period in the high Arctic. Low BLH, suppressed
vertical mixing (stable stratification), and frequent thermal inversions
facilitated the accumulation of near-ground emissions during spring. This
period coincided with a significant increase in local human activities
following the several months of winter darkness. Simultaneously, the LRAT was
dislocated to be mainly from the area north of the 75<inline-formula><mml:math id="M226" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude
in the North Atlantic Ocean, with no significant PAC sources. The pollution
was primarily attributed to local snowmobile-related emissions, resulting in PAH concentrations a factor of 30 higher compared to the Zeppelin background
station data. In addition, no typical pristine Arctic summer conditions were
observed in Longyearbyen air. The PAC summer levels outreached the winter
ones, while they are usually an order of magnitude lower as reported from
background stations. Under inhibited LRAT and enhanced PAC photochemical
degradation (24 h sun) conditions during summer, these elevated levels
indicated fresh local emissions. The PAC, OC, and EC levels depended on wind
direction and were found to correlate with the local marine traffic. When
the wind blew from the harbour, the average PAC concentrations were up to
2 times higher.</p>
      <p id="d1e2980">To date, these are the most comprehensive data on the phase-separated
concentrations of non-monitored emerging contaminants in the Arctic, like
oxy- and nitro-PAHs. These results provide insights into their global fate,
persistence in a cold environment (Röhler et al.,
2020), and LRAT potential. Moreover, the here-reported study allows the
influence of the middle-latitude sources (LRAT) to be distinguished from
local sources. This knowledge is essential for authorities working on
national and regional regulatory monitoring and remediation strategies and
might further provide confidence for choosing new candidates to be routinely
measured (Wong et al., 2021) in densely populated areas and in the Arctic
(Röhler et al., 2020). As increased shipping,
industrial development, and further urbanization of local settlements are
predicted to substantially increase in the Arctic due to climate change and
declining sea ice cover, it is crucial to stay alert to the levels of the
emerging contaminants primarily emitted after fossil fuel burning such as
the PACs.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e2988">The data set used in this paper is included in the Supplement, and further
information is available from the corresponding authors at tatiana.drotikova@unis.no and alexandre.albinet@ineris.fr.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2991">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-21-14351-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-21-14351-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3000">TD, RK, and AA designed the study. TD conducted and performed the
fieldwork. AA led and validated the chemical analyses. AD produced the
meteorological data and assisted in their interpretation. RK provided academic
guidance and contributed to the paper preparation. TD and AA interpreted the
data and wrote the manuscript with inputs from all co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3006">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e3012">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3018">The authors thank Valérie Minguet, Arnaud Papin, Ahmad El-Masri,
Faustina Fuvel, and Serguei Stavrovski (Ineris) for sample preparation and
EC <inline-formula><mml:math id="M227" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC and PAC analyses. They acknowledge the Norwegian national archive
NorStore (project NS9054K) for the trajectory data retrieved in this<?pagebreak page14364?> study,
as well as ECMWF for the ERA5 meteorological data, and personally acknowledge Michael
Sprenger (ETH Zurich) for the support in providing the data. They also
acknowledge the Swedish EPA and Katarina Hansson (IVL Swedish Environmental
Research Institute) for the PAH concentration data monitored at the Pallas
(Finland) station and Pernilla Bohlin-Nizzetto and Karl Espen Yttri (NILU)
for the PAH, EC, and OC data from the Zeppelin (Svalbard) station. This
research was financially supported by UNIS and the French Ministry of
Environment.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3030">This paper was edited by Ralf Ebinghaus and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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<abstract-html><p>A total of 22 polycyclic aromatic hydrocarbons (PAHs), 29 oxy-PAHs, and 35 nitro-PAHs (polycyclic aromatic
compounds, PACs) were measured in gaseous and particulate phases in the
ambient air of Longyearbyen, the most populated settlement in Svalbard, the
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2017 and lasted for 8 months until June 2018, when a light cycle reached a
sunlit period with no night. The transport regimes of the near-surface,
potentially polluted air masses from midlatitudes to the Arctic and the
polar boundary layer meteorology were studied. The data analysis showed the
observed winter PAC levels were mainly influenced by the lower-latitude
sources in northwestern Eurasia, while local emissions dominated in spring
and summer. The highest PAC concentrations observed in spring, with PAH
concentrations a factor of 30 higher compared to the measurements at the
closest background station in Svalbard (Zeppelin, 115&thinsp;km distance from
Longyearbyen), were attributed to local snowmobile-driving emissions. The
lowest PAC concentrations were expected in summer due to enhanced
photochemical degradation under the 24&thinsp;h midnight sun conditions and
inhibited long-range atmospheric transport. In contrast, the measured summer
concentrations were notably higher than those in winter due to the harbour
(ship) emissions.</p></abstract-html>
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