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<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0">
  <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-21-4561-2021</article-id><title-group><article-title>Measurement report: Exploring NH<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> behavior in urban and suburban
Beijing: comparison and implications</article-title><alt-title>Exploring NH<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> behavior in urban and suburban
Beijing</alt-title>
      </title-group><?xmltex \runningtitle{Exploring NH${}_{{3}}$ behavior in urban and suburban
Beijing}?><?xmltex \runningauthor{Z.~Lan et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lan</surname><given-names>Ziru</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Lin</surname><given-names>Weili</given-names></name>
          <email>linwl@muc.edu.cn</email>
        <ext-link>https://orcid.org/0000-0002-0711-6378</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Pu</surname><given-names>Weiwei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Ma</surname><given-names>Zhiqiang</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>College of Life and Environmental Sciences, Minzu University of China,
Beijing, 100081, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Environmental Meteorological Forecast Center of
Beijing–Tianjin–Hebei, Beijing, 100089, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Beijing Shangdianzi Regional Atmosphere Watch Station, Beijing,
101507, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Weili Lin (linwl@muc.edu.cn)</corresp></author-notes><pub-date><day>24</day><month>March</month><year>2021</year></pub-date>
      
      <volume>21</volume>
      <issue>6</issue>
      <fpage>4561</fpage><lpage>4573</lpage>
      <history>
        <date date-type="received"><day>8</day><month>October</month><year>2020</year></date>
           <date date-type="rev-request"><day>2</day><month>November</month><year>2020</year></date>
           <date date-type="rev-recd"><day>22</day><month>February</month><year>2021</year></date>
           <date date-type="accepted"><day>23</day><month>February</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 </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/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e140">Ammonia (NH<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) plays an important role in particulate matter formation;
hence, its atmospheric level is relevant to human health and climate
change. Due to different relative distributions of NH<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources,
concentrations of atmospheric NH<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> may behave differently in urban and
rural areas. However, few parallel long-term observations of NH<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exist to
reveal the different behaviors of NH<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at urban
and rural sites in a same region. In this study, online ammonia analyzers
were used to continuously observe atmospheric NH<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at an
urban site and a suburban site in Beijing from 13 January 2018 to 13 January 2019. The observed mixing ratio of NH<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> averaged <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mn mathvariant="normal">21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula> ppb
(range of 1.6–133 ppb) at the urban site and <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mn mathvariant="normal">22</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> ppb (range of
0.8–199 ppb) at the suburban site. The NH<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the urban
and suburban sites exhibited similar seasonal variations, with high values
in summer and spring and low values in autumn and winter. The hourly mean
NH<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the urban site were highly correlated (<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.849</mml:mn></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) with those at the suburban site; however, the average
diurnal variations in the NH<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the urban and suburban
sites differed significantly, which implies different contributions from
NH<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources and sinks at the urban and suburban sites. In addition to
the emission sources, meteorological factors were closely related to the
changes in the NH<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations. For the same temperature (relative
humidity) at the urban and suburban sites, the NH<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios
increased with relative humidity (temperature). Relative humidity was the
factor with the strongest influence on the NH<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio in
different seasons at the two sites. The relationships between the NH<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations and temperature (relative humidity) varied from season to
season and showed differences between the urban and suburban sites. The
reasons for the different relationships need to be investigated in future
studies. Higher wind speed mainly from the northwest sector lowered the
NH<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at both sites. Similarly to other primary pollutants
in Beijing, the NH<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios were high when impacted by air masses
from the southern sector.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e356">Ammonia (NH<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) is the most abundant alkaline trace gas in the atmosphere
(Meng et al., 2017). An excessive NH<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration directly harms the
ecosystem; causes water eutrophication and soil acidification; and leads to
forest soil erosion, biodiversity reduction, and carbon uptake variations (Pearson and Stewart, 1993; Reay et al., 2008; Van Breemen et
al., 1983; Erisman et al., 2007). NH<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can react with acidic gases to
form ammonium salts, which might significantly influence the mass
concentration and composition of particulate matter (Wu et al., 2009). As
major components of fine particulate matter, ammonium salts contribute largely to the
scattering of solar radiation and, hence, influence climate change (Charlson
et al., 1991). Therefore, atmospheric NH<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is one of the key species
relevant to human health as well as ecosystem and climate change.</p>
      <p id="d1e395">After the implementation of policies such as the “12th Five-Year Plan for the Key Regional Air Pollution Prevention and Control in Key Regions” (Ministry of Ecology and
Environment of the People's Republic of China, 2012) and the “Air Pollution Prevention and Control Action Plan” (General<?pagebreak page4562?> Office
of the State Council, PRC, 2013), China, especially the capital city
Beijing, has been effectively controlling the emissions of sulfur dioxide
(SO<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and nitrogen oxide (NO<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>), which are key precursors of fine
particles. However, the pollution caused by fine particles is still serious
(Krotkov et al., 2016; UN Environment, 2019), particularly in winter in the
North China Plain, where excess NH<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> promotes haze formation through
heterogeneous reactions (Ge et al., 2019). Studies have indicated that when
the SO<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations are reduced to a certain extent,
reducing NH<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emissions is the most economical and effective method to
decrease the PM<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentration (Pinder et al., 2008). In China, the
main anthropogenic sources of NH<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> are livestock and poultry feces
(54 %) and fertilizer volatilization (33 %) (Huang et al., 2012).
Moreover, the atmospheric NH<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in China has increased with
the expansion of agricultural activities, control of SO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>,
and an increase in temperature (Warner et al., 2017). This increase in the
NH<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration might weaken the effectiveness of SO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and
NO<inline-formula><mml:math id="M41" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emission control in reducing PM<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> pollution (Fu et al.,
2017).</p>
      <p id="d1e538">The North China Plain is a region with high NH<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emissions (Zhang et al.,
2017), and Beijing has one of the highest NH<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in the
world (Chang et al., 2016b; Pan et al., 2018). Compared with studies on
pollutants such as SO<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, considerably fewer studies have
been conducted on the NH<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in Beijing. Chang et al. (2016a) collected gaseous NH<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> samples during the 2014 APEC (Asia-Pacific Economic Cooperation) summit
(18 October to 29 November 2014) in the Beijing urban area and concluded
that the overall contributions of traffic, garbage, livestock, and
fertilizers to the NH<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration were 20.4 %, 25.9 %, 24.0 %,
and 29.7 %, respectively. According to the data from Huang et al. (2012), the
NH<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emissions in Beijing were from livestock and poultry farming
(34.55 %), nitrogen-fixing plants (33.57 %), fertilizer use (13.06 %),
household garbage treatment (8.29 %), traffic emissions (5.20 %),
industrial emissions (0.14 %), biomass combustion (0.42 %), and
agricultural soil (0.84 %). Zhang (2016) measured the NH<inline-formula><mml:math id="M51" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations in urban and rural areas of Beijing from January to July 2014
and found that the NH<inline-formula><mml:math id="M52" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in urban areas was approximately
65 % higher than that in rural areas. Meng et al. (2011) reported that the
highest NH<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in Beijing occurred in summer and the lowest
concentration occurred in winter, and their results indicated that traffic is a
significant source of NH<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in urban areas. Zhang et al. (2018) reported
the vertical variability of NH<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in urban Beijing based on 1-year
passive sampling in 2016–2017 and concluded that local sources such as
traffic emissions were important contributors to urban NH<inline-formula><mml:math id="M56" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. Meng et al. (2020) investigated the significant increase in winter NH<inline-formula><mml:math id="M57" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and its
contribution to the increasing nitrate in PM<inline-formula><mml:math id="M58" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> from 2009 to 2016, and
they also concluded that vehicle exhaust was an important contributor to
NH<inline-formula><mml:math id="M59" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in urban Beijing in winter.</p>
      <p id="d1e696">Currently, NH<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is not included in the routine environmental monitoring
operation in China. Research data on NH<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> monitoring, particularly on
the synchronous observations of NH<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations with a high temporal
resolution in urban and suburban areas, are relatively scarce. In this
study, high-time-resolution observations of NH<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> were obtained
simultaneously at an urban site and a suburban site in Beijing. The
variation characteristics and influencing factors of the NH<inline-formula><mml:math id="M64" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration were analyzed with meteorological data to provide a scientific
basis for NH<inline-formula><mml:math id="M65" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> pollution control in Beijing.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Measurement sites</title>
      <p id="d1e769">From January 2018 to January 2019, continuous and simultaneous observations
of atmospheric NH<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> were conducted at an urban site and a suburban site
in Beijing. The urban site was located on the roof of the Science and
Technology Building of Minzu University of China (39.95<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
116.32<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, altitude: 102 m) and the suburban site was in the
Changping Meteorological Station (40<inline-formula><mml:math id="M69" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>13<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 116<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>13<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E; 77 m altitude). The suburban site is in the northwestern direction
relative to the urban site, and the shortest distance between these two sites
is approximately 32 km (Fig. 1). More farmland and grassland is located around
the suburban site than the urban site.</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="d1e838">Location of the observation sites, the topography, and the land
use for Beijing city.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Measurements and data acquisition</title>
      <p id="d1e855">NH<inline-formula><mml:math id="M73" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations were measured using two NH<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> analyzers (Economical ammonia
analyzer, Los Gatos Research Inc., USA), which have a minimum
detection limit of <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> ppb and a maximum drift of 0.2 ppb over 24 h.
The NH<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> analyzers were deployed in air-conditioned rooms. These
analyzers use off-axis integrated cavity output spectroscopy (OA-ICOS)
technology, which is a fourth-generation cavity-enhanced absorption
technique, to simultaneously measure NH<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and water vapor (H<inline-formula><mml:math id="M78" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O) in
the atmosphere. The incident laser beam of the OA-ICOS technology deviates
from the optical axis, which differs from the traditional coaxial incidence
mode. The axial incidence mode of the OA-ICOS technology can increase the
optical path, stimulate additional high-order transverse modes, effectively
suppress the noise of the cavity mode, reduce the cross interferences and
errors due to contaminants existing in the cavity, and improve the detection
sensitivity (Baer et al., 2002, 2012). The analyzer method is a
quasi-absolute measurement, which theoretically does not require
calibration. However, to ensure the comparability of the obtained data with
other monitoring data, NH<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> standard gas (Beijing AP BAIF Gases Industry
Co., Ltd.) was used for a comparison measurement before the observation. The
recorded concentrations were revised with respect to the reference NH<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration in the standard gas mixture.</p>
      <?pagebreak page4563?><p id="d1e932">Ambient air was drained at <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M82" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">L</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">min</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> through Teflon lines
(<inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:msup><mml:mn mathvariant="normal">4</mml:mn><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> o.d.) from a manifold. The lengths of the Teflon lines were designed to be as
short as possible (less than 2 m from the manifold). Particulate matter
was filtered by Teflon membranes with a pore size of less than 5 <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>.
As NH<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> easily “sticks” to surfaces (such as the inside walls of tubes),
heated sample lines have been suggested by many measurement studies. However,
according to our laboratory test (Fig. S1), when the heating (70 <inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) was on,
there was a peak lasting 5–6 min that then deceased to
normal levels in ambient air, which means that a new balancing process was
established in less than 10 min. This suggests that heating is not
necessarily a solution for NH<inline-formula><mml:math id="M87" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sticking. Maintaining the relatively stable
balance between adsorption and desorption of NH<inline-formula><mml:math id="M88" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the sampling system
is important. When tested using air with different humidity levels, only very sharp
changes in humidity obviously influenced and altered the balance, and a new
balance required tens of minutes to be reestablished (Fig. S2). Under normal
weather conditions, humidity changes in a relatively smooth way unless a
quickly changing weather system, like rain, is approaching. The minute-level
data were converted into hourly averages during the data analysis process, and
the hourly resolution can smooth the effect caused by
variations in humidity and temperature during the observation to some extent.</p>
      <p id="d1e1024">The balancing idea was also used to carry out multi-point calibrations on the
NH<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> analyzers (Fig. S3). A high mixing ratio (e.g., 400 ppb or higher)
of NH<inline-formula><mml:math id="M90" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing gases was firstly produced by a dynamic diluter and
measured by the NH<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> analyzers overnight. After the signals reached a
stable level, other lower span values were switched in turn. At each span
point, the measurement time was at least 40 min or longer. A linear regression function was then obtained with an <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> higher than 0.999.
Nowadays, NH<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in a compressed gas cylinder is also trustworthy, as
confirmed by the comparison with the NH<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> standard in a permeation tube
(Fig. S4).</p>
      <p id="d1e1084">In total, 7645 and 8342 valid hourly mean observations were obtained for the
urban (Haidian) and suburban (Changping) sites, respectively. In addition,
the urban and suburban meteorological data (temperature, relative humidity,
wind direction, and wind speed) during the sampling period were obtained
from the Haidian Meteorological Observation Station and Changping
Meteorological Station, respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1090">Temporal variations in the hourly average NH<inline-formula><mml:math id="M95" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios, temperatures (<inline-formula><mml:math id="M96" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), and relative humidity (RH) at the urban and suburban
stations in Beijing. Continuous thick lines were smoothed with 168 points (7 d) using the Savitzky–Golay method.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f02.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><?xmltex \opttitle{Overall variations in the NH${}_{{3}}$ mixing ratios}?><title>Overall variations in the NH<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios</title>
      <?pagebreak page4564?><p id="d1e1141">Figure 2 displays the time series variations in the NH<inline-formula><mml:math id="M98" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios,
temperatures, and relative humidity at the urban and suburban sites in
Beijing. At the urban site, the mean <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>, median, maximum,
and minimum values of the hourly average NH<inline-formula><mml:math id="M100" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio during the
observation period were <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mn mathvariant="normal">21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula>, 17, 133 and 1.6 ppb,
respectively. At the suburban site, the corresponding values were <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mn mathvariant="normal">22</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula>, 18, 199, and 0.8 ppb, respectively. The annual average and
range of the NH<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio at the suburban site were marginally
higher than those at the urban site. The characteristics of the weekly
smoothed data indicate that the NH<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> variations and temperature and humidity
fluctuations at the two sites were practically consistent, which suggests
that both sites were under the influence of similar weather systems. The
hourly mean NH<inline-formula><mml:math id="M105" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at the urban site were significantly
correlated (<inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.849</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) with those at the suburban site.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1253">Comparison of the atmospheric NH<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations
(ppb) observed in different areas.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="2.3cm"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Period</oasis:entry>

         <oasis:entry colname="col2">Location</oasis:entry>

         <oasis:entry colname="col3">Methodology</oasis:entry>

         <oasis:entry colname="col4">Types</oasis:entry>

         <oasis:entry colname="col5">Concentration (ppb)</oasis:entry>

         <oasis:entry colname="col6">Reference</oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Jan 2018–Jan 2019</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Beijing, China</oasis:entry>

         <?xmltex \mrwidth{2.3cm}?><oasis:entry rowsep="1" colname="col3" morerows="1">Online monitor</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">13.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">This study</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col4">Suburban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mn mathvariant="normal">21.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1">Feb 2008–Jul 2010</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Beijing, China</oasis:entry>

         <?xmltex \mrwidth{2.3cm}?><oasis:entry rowsep="1" colname="col3" morerows="1">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:mn mathvariant="normal">22.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">Meng et al. (2011)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Jan 2007–Jul 2010</oasis:entry>

         <oasis:entry colname="col4">Background</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mn mathvariant="normal">10.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">May 2014–Jun 2015</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Shanghai, China</oasis:entry>

         <?xmltex \mrwidth{2.3cm}?><oasis:entry rowsep="1" colname="col3" morerows="1">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">7.8</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">Chang et al. (2019)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col4">Suburban</oasis:entry>

         <oasis:entry colname="col5">6.8</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Apr 2006–Apr 2007</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Xi'an, China</oasis:entry>

         <?xmltex \mrwidth{2.3cm}?><oasis:entry rowsep="1" colname="col3" morerows="1">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">18.6</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">Cao et al. (2009)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col4">Suburban</oasis:entry>

         <oasis:entry colname="col5">20.3</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Dec 2017–Feb 2018</oasis:entry>

         <oasis:entry colname="col2">Hebei, China</oasis:entry>

         <oasis:entry colname="col3">Online monitor</oasis:entry>

         <oasis:entry colname="col4">Rural</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mn mathvariant="normal">16.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">19.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">He et al. (2020)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">2008</oasis:entry>

         <oasis:entry colname="col2">Qinghai, China</oasis:entry>

         <oasis:entry colname="col3">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Rural</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">Meng et al. (2010)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Jul 2003–Sep 2011</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">Toronto, Canada</oasis:entry>

         <?xmltex \mrwidth{2.3cm}?><oasis:entry rowsep="1" colname="col3" morerows="1">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">2.3–3.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">Hu et al. (2014)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col4">Rural</oasis:entry>

         <oasis:entry colname="col5">0.1–4</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Apr 2016–Oct 2017</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">New York, USA</oasis:entry>

         <oasis:entry colname="col3">Active and passive</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">2.2–3.2</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">Zhou et al. (2019)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3">system</oasis:entry>

         <oasis:entry colname="col4">Rural</oasis:entry>

         <oasis:entry colname="col5">0.6–0.8</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Dec 2017</oasis:entry>

         <oasis:entry colname="col2">Tokyo, Japan</oasis:entry>

         <oasis:entry colname="col3">Semi-continuous microflow analytical system</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">4.1</oasis:entry>

         <oasis:entry colname="col6">Osada et al. (2019)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Jan 2013–Dec 2015</oasis:entry>

         <oasis:entry colname="col2">Delhi, India</oasis:entry>

         <oasis:entry colname="col3">Automatic analyzer</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mn mathvariant="normal">53.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">Saraswati et al. (2019)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Oct 2012–Sep 2013</oasis:entry>

         <oasis:entry colname="col2">Jaunpur, India</oasis:entry>

         <oasis:entry colname="col3">Glass flask sampling</oasis:entry>

         <oasis:entry colname="col4">Suburban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mn mathvariant="normal">51.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">22.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">Singh and Kulshrestha (2014)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Jan 2008–Feb 2009</oasis:entry>

         <oasis:entry colname="col2">Bamako, Mali</oasis:entry>

         <oasis:entry colname="col3">Passive sampler</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">46.7</oasis:entry>

         <oasis:entry colname="col6">Adon et al. (2016)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Mar 2006–Apr 2017</oasis:entry>

         <oasis:entry colname="col2">Edmonton, Canada</oasis:entry>

         <oasis:entry colname="col3">Online monitor</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mn mathvariant="normal">2.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">Yao and Zhang (2016)</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Sep 2010–Aug 2011</oasis:entry>

         <oasis:entry colname="col2">Seoul, South Korea</oasis:entry>

         <oasis:entry colname="col3">Online monitor</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mn mathvariant="normal">10.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">Phan et al. (2013)</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1">Mar 2004–Jul 2004</oasis:entry>

         <oasis:entry colname="col2">Münster, Germany</oasis:entry>

         <oasis:entry colname="col3">Wet denuder</oasis:entry>

         <oasis:entry colname="col4">Urban</oasis:entry>

         <oasis:entry colname="col5">5.2</oasis:entry>

         <oasis:entry colname="col6">Vogt et al. (2005)</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1804">Table 1 shows the comparison of the atmospheric NH<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations (ppb)
observed in different areas. Meng et al. (2011) obtained an average NH<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratio of <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mn mathvariant="normal">22.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.3</mml:mn></mml:mrow></mml:math></inline-formula> ppb for the period from 2008 to 2010 in the Beijing
urban area, which is very close to our result (<inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mn mathvariant="normal">21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula> ppb) for
2018–2019. Therefore, the annual average NH<inline-formula><mml:math id="M123" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio in urban
Beijing did not change significantly from 2008 to 2019. Moreover, results
from this study and Meng et al. (2011) indicate that the NH<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations at the urban and suburban sites were higher than those in the
background areas. The observed NH<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in Beijing were
higher than those in northwestern China (Meng et al., 2010) and the Yangtze
River Delta region (Chang et al., 2019). The average annual NH<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration in the urban area of Shanghai, a megacity in Southeast
China (31<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N), was approximately 50 % lower than that in urban
Beijing. This might be related to the fact that the North China Plain, in
which Beijing is located, is one of the most intensive agricultural
production regions in China. The differences in the soil properties of
Beijing and Shanghai may be another reason for this difference, as the loss of soil NH<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
can increase with an increase in the soil pH (Ju et al., 2009). Shanghai and
its surrounding areas are dominated by the acidic soil of paddy fields (Zhao et
al., 2009), whereas Beijing is dominated by the alkaline soils of dry lands
(Wei et al., 2013). In addition, the climate in Beijing is much drier than
in Shanghai; thus, less atmospheric NH<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can be removed by wet deposition in Beijing compared with
Shanghai.</p>
      <p id="d1e1914">Table 1 also shows observational results of atmospheric NH<inline-formula><mml:math id="M130" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from some
other countries. The NH<inline-formula><mml:math id="M131" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in the USA (Edgerton
et al., 2007; Nowak et al., 2006; Zhou et al., 2019), Scotland (Burkhardt et
al., 1998), Canada (Hu et al., 2014), Japan (Osada et al., 2019), and
Germany (Vogt et al., 2005) were 0.23–13, 1.6–2.3, 0.1–4, 4.1, and 5.2 ppb, respectively. These values are considerably lower than
those in Beijing. However, Delhi, India (Saraswati et al., 2019), exhibited
a higher NH<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration (<inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mn mathvariant="normal">53.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14.9</mml:mn></mml:mrow></mml:math></inline-formula> ppb) than Beijing did. This
result might be attributed to the well-developed livestock breeding
activities in Delhi. This comparison indicates that the NH<inline-formula><mml:math id="M134" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in Beijing did not change considerably in the decade before
2019; however, the NH<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in Beijing is the highest of the big cities in China and much higher than those
observed in developed countries in America, Europe, and Asia.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1977">Monthly statistical variation in the NH<inline-formula><mml:math id="M136" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios
at the urban and suburban sites in Beijing.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Seasonal variations</title>
      <p id="d1e2003">Figure 3 displays the monthly statistics for the NH<inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the
urban and suburban sites in Beijing. The seasonal variations in the NH<inline-formula><mml:math id="M138" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios were very similar at the urban and suburban sites, with higher
mixing ratios in the spring and summer and low values in the autumn and
winter (Table 2). The daily mean concentrations fluctuated considerably in the spring,
particularly in April. The highest mean NH<inline-formula><mml:math id="M139" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at the urban
and suburban sites were <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mn mathvariant="normal">42</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">17</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mn mathvariant="normal">42</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8.2</mml:mn></mml:mrow></mml:math></inline-formula> ppb,
respectively. Both occurred in July, when the NH<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations
also fluctuated considerably. On average, the seasonal NH<inline-formula><mml:math id="M143" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios at the urban and suburban sites can be arranged as follows: summer <inline-formula><mml:math id="M144" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> spring <inline-formula><mml:math id="M145" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> autumn <inline-formula><mml:math id="M146" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> winter. The main grain
crops in the rural area of Beijing are corn and wheat. Corn is categorized
as spring corn and summer corn, which are sown in April and June,
respectively. Usually, a large amount of base fertilizer is applied when
planting corn, and the topdressing is applied after 2 months. Wheat is sown from
September to October, and the topdressing is applied in the following
spring. The volatilization of nitrogen fertilizers can cause an increase in
atmospheric NH<inline-formula><mml:math id="M147" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios and their fluctuations in fertilization
seasons (Zhang et al., 2016). In addition, the high temperature in summer
should also be responsible for the high NH<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios in this
season. An increase in the temperature can increase the biological activity
and, thus, enhance the NH<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production and emission. High temperature<?pagebreak page4565?> is
also conducive for the volatilization of the urea and diammonium phosphate
applied to crops. Moreover, the equilibrium among ammonium nitrate
particles, gaseous NH<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and nitric acid is transferred to the gas phase
at high temperature, which increases the NH<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration (Behera et
al., 2013). Sewage treatment, household garbage, golf courses, and human
excreta are crucial NH<inline-formula><mml:math id="M152" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources that are easily neglected (Pu et al.,
2020). The relatively low NH<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in the autumn and winter
might be caused by the decrease in NH<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emission in the soil and
vegetation, the decrease in the NH<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>NO<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> decomposition capacity at
low temperatures, and the reduced human activities caused by a large
floating population returning to their native locations outside of Beijing
during the Spring Festival (Liao et al., 2014). In spring
and summer, the NH<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the suburban site were higher than
those at the urban site, which might be related to the higher agricultural
activity around the suburban site. In the autumn and winter, the NH<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios at the urban site were marginally higher than those at the
suburban site. In the autumn and winter seasons, the influences of
agricultural activities on the NH<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration were weakened, whereas
the influences of other sources (such as traffic sources) were enhanced.
According to Wang et al. (2019), the traffic NH<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emissions per unit area
in Haidian (urban site) were 3 times higher than in Changping
(suburban site). This difference in traffic source emissions might have
resulted in higher NH<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at the urban site than at the
suburban site in the autumn and winter.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2237">Average diurnal variations in the NH<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O
mixing ratios in different seasons at the urban and suburban sites in
Beijing.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Diurnal variations</title>
      <p id="d1e2272">Figure 4 displays the average diurnal variations in the NH<inline-formula><mml:math id="M164" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and
H<inline-formula><mml:math id="M165" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O mixing ratios in different seasons at the urban and suburban sites
in Beijing. Ambient NH<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exhibited different diurnal behaviors in
different seasons.</p>
      <?pagebreak page4566?><p id="d1e2302">In spring, the average diurnal variations in the NH<inline-formula><mml:math id="M167" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio were
similar at the urban and suburban sites. The diurnal variations exhibited a
single-peak pattern with high values in the daytime and low values at night.
The NH<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio began to increase in the morning, reached its
maximum value at 16:00 Beijing time, UTC<inline-formula><mml:math id="M169" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>8, and then decreased gradually. The lowest mixing
ratios at the urban and suburban sites occurred at 03:00 and 09:00,
respectively. The NH<inline-formula><mml:math id="M170" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio began to increase earlier at the
urban site than at the suburban site. A plausible explanation for the earlier
increase in NH<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> emissions at the urban site is traffic emissions
during the morning rush hours. In spring, the mixing ratio of NH<inline-formula><mml:math id="M172" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was
higher at the suburban site than that at the urban site, with an average
difference of 4.1 ppb and a maximum difference of 6.1 ppb. The average
diurnal amplitude of the NH<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio at the suburban site was 5.3 ppb, which was higher than that (2.6 ppb) at the urban site. At the urban
site, the average diurnal variations in the NH<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M175" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O mixing
ratios exhibited nearly opposite trends. The H<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O mixing ratio had high
values at night and low values during the day. At the suburban site, the
variation characteristics of NH<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M178" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O were very similar;
however, the peak NH<inline-formula><mml:math id="M179" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration occurred 5 h earlier than the
peak H<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O concentration. In spring, in contrast to the NH<inline-formula><mml:math id="M181" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratio, the H<inline-formula><mml:math id="M182" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O mixing ratio at the urban site was 1279 ppm higher than
that at the suburban site.</p>
      <p id="d1e2449">The diurnal variation in the NH<inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio at the suburban site in
summer was similar to that in spring. This phenomenon was also observed in
the rural areas of Shanghai by Chang et al. (2019). The diurnal variations
in NH<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the suburban site were considerably affected by the
temperature and the contribution from volatile NH<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources. However,
the diurnal summer variation of NH<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the urban site was completely
different from that at the suburban site. The summer level of NH<inline-formula><mml:math id="M187" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at
the urban site was obviously lower during the daytime and evening than that
at the suburban site, increased gradually from 21:00 to levels higher its
suburban counterpart, dropped after reaching its peak value at 07:00, and
then reached its lowest value at 14:00. This diurnal pattern (with a peak in
early morning) has been observed in other areas, such as rural (Ellis et
al., 2011), urban (Gong et al., 2011), and steppe areas located far away
from human activity (Wentworth et al., 2016). Kuang et al. (2020) believed
that such a diurnal pattern of NH<inline-formula><mml:math id="M188" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was caused by the evaporation of dew
in the morning, which resulted in the release of NH<inline-formula><mml:math id="M189" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> originally stored
in the droplets. A lag was observed between the changes in the NH<inline-formula><mml:math id="M190" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and
H<inline-formula><mml:math id="M191" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O concentrations in the early morning, which supported the hypothesis
of Kuang et al. (2020). In addition, the increase in the NH<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration in the morning might have been caused by the breakup of the
boundary layer formed at night. The downward mixing of air with a higher
NH<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in the residual layer led to a morning increase in
the NH<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration on the ground (Bash et al., 2010). In summer, the
NH<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at the suburban site were significantly higher than
those at the urban site during the daytime and first half of the night. The
average diurnal amplitude of the NH<inline-formula><mml:math id="M196" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration was 7.5 and 3.7 ppb at the urban and suburban sites, respectively. Similar to the situation
in spring, the H<inline-formula><mml:math id="M197" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O concentrations at<?pagebreak page4567?> the urban site were significantly
higher than those at the suburban site in the summer.</p>
      <p id="d1e2589">In autumn, the NH<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration at the suburban site was relatively
stable and remained almost consistently lower than that at the urban site,
which showed low values during the day and high values during the night,
with a peak at midnight and a minimum (about 2.0 ppb lower than the peak) at
17:00. The H<inline-formula><mml:math id="M199" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O concentration was marginally lower (250 ppm) at the
urban site than at the suburban site. The diurnal profiles of H<inline-formula><mml:math id="M200" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O at
both sites resemble that of NH<inline-formula><mml:math id="M201" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the urban site, but the lowest
values of H<inline-formula><mml:math id="M202" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O occurred earlier than the lowest value of NH<inline-formula><mml:math id="M203" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the
urban site.</p>
      <p id="d1e2648">The diurnal patterns of NH<inline-formula><mml:math id="M204" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M205" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O in winter were similar to
those in autumn, although the mixing ratios of NH<inline-formula><mml:math id="M206" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and H<inline-formula><mml:math id="M207" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O were lower
than their autumn counterparts. There were two slight differences: (1) the
mixing ratios of NH<inline-formula><mml:math id="M208" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at both sites exhibited lower fluctuations than
those in autumn, and (2) the mixing ratio of NH<inline-formula><mml:math id="M209" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the urban site
reached its minimum in winter earlier than that in autumn.</p>
      <p id="d1e2706">The above results indicate that although the two sites were under the
influence of similar weather systems, the diurnal variations in the NH<inline-formula><mml:math id="M210" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios at the two sites were different in different seasons. This
finding suggests that different NH<inline-formula><mml:math id="M211" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources and possibly sinks had
different contributions to the NH<inline-formula><mml:math id="M212" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at the urban and
suburban sites. Additional studies should be conducted to better understand
the behaviors of atmospheric NH<inline-formula><mml:math id="M213" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and its influencing factors.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e2748">NH<inline-formula><mml:math id="M214" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios (ppb) measured at the urban and
suburban sites in Beijing.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">Site</oasis:entry>

         <oasis:entry colname="col2">Time period</oasis:entry>

         <oasis:entry colname="col3">Mean</oasis:entry>

         <oasis:entry colname="col4">Standard deviation</oasis:entry>

         <oasis:entry colname="col5">Minimum</oasis:entry>

         <oasis:entry colname="col6">Median</oasis:entry>

         <oasis:entry colname="col7">Maximum</oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="4">Urban</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">21</oasis:entry>

         <oasis:entry colname="col4">14</oasis:entry>

         <oasis:entry colname="col5">1.6</oasis:entry>

         <oasis:entry colname="col6">17</oasis:entry>

         <oasis:entry colname="col7">133</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Spring</oasis:entry>

         <oasis:entry colname="col3">25</oasis:entry>

         <oasis:entry colname="col4">16</oasis:entry>

         <oasis:entry colname="col5">1.9</oasis:entry>

         <oasis:entry colname="col6">21</oasis:entry>

         <oasis:entry colname="col7">101</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Summer</oasis:entry>

         <oasis:entry colname="col3">32</oasis:entry>

         <oasis:entry colname="col4">12</oasis:entry>

         <oasis:entry colname="col5">5.0</oasis:entry>

         <oasis:entry colname="col6">30</oasis:entry>

         <oasis:entry colname="col7">133</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Autumn</oasis:entry>

         <oasis:entry colname="col3">16</oasis:entry>

         <oasis:entry colname="col4">7.5</oasis:entry>

         <oasis:entry colname="col5">3.8</oasis:entry>

         <oasis:entry colname="col6">15</oasis:entry>

         <oasis:entry colname="col7">41</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2">Winter</oasis:entry>

         <oasis:entry colname="col3">11</oasis:entry>

         <oasis:entry colname="col4">6.7</oasis:entry>

         <oasis:entry colname="col5">1.6</oasis:entry>

         <oasis:entry colname="col6">9.9</oasis:entry>

         <oasis:entry colname="col7">42</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="4">Suburban</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">22</oasis:entry>

         <oasis:entry colname="col4">15</oasis:entry>

         <oasis:entry colname="col5">0.8</oasis:entry>

         <oasis:entry colname="col6">18</oasis:entry>

         <oasis:entry colname="col7">198</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Spring</oasis:entry>

         <oasis:entry colname="col3">29</oasis:entry>

         <oasis:entry colname="col4">16</oasis:entry>

         <oasis:entry colname="col5">6.8</oasis:entry>

         <oasis:entry colname="col6">26</oasis:entry>

         <oasis:entry colname="col7">180</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Summer</oasis:entry>

         <oasis:entry colname="col3">35</oasis:entry>

         <oasis:entry colname="col4">12</oasis:entry>

         <oasis:entry colname="col5">12.1</oasis:entry>

         <oasis:entry colname="col6">33</oasis:entry>

         <oasis:entry colname="col7">199</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Autumn</oasis:entry>

         <oasis:entry colname="col3">15</oasis:entry>

         <oasis:entry colname="col4">6.8</oasis:entry>

         <oasis:entry colname="col5">4.1</oasis:entry>

         <oasis:entry colname="col6">13</oasis:entry>

         <oasis:entry colname="col7">55</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Winter</oasis:entry>

         <oasis:entry colname="col3">9.2</oasis:entry>

         <oasis:entry colname="col4">4.5</oasis:entry>

         <oasis:entry colname="col5">0.8</oasis:entry>

         <oasis:entry colname="col6">8.4</oasis:entry>

         <oasis:entry colname="col7">29</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3"><?xmltex \currentcnt{3}?><label>Table 3</label><caption><p id="d1e3041">Correlations between the daily mean values of NH<inline-formula><mml:math id="M215" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and
meteorological elements (Spearman's rank correlation coefficient).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry colname="col1">Site</oasis:entry>

         <oasis:entry colname="col2">Time</oasis:entry>

         <oasis:entry colname="col3">Temperature</oasis:entry>

         <oasis:entry colname="col4">Relative</oasis:entry>

         <oasis:entry colname="col5">Wind</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">period</oasis:entry>

         <oasis:entry colname="col3"/>

         <oasis:entry colname="col4">humidity</oasis:entry>

         <oasis:entry colname="col5">speed</oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="4">Urban</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">0.680**</oasis:entry>

         <oasis:entry colname="col4">0.706**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.370</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Spring</oasis:entry>

         <oasis:entry colname="col3">0.450**</oasis:entry>

         <oasis:entry colname="col4">0.645**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.540</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Summer</oasis:entry>

         <oasis:entry colname="col3">0.043</oasis:entry>

         <oasis:entry colname="col4">0.488**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.106</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Autumn</oasis:entry>

         <oasis:entry colname="col3">0.101</oasis:entry>

         <oasis:entry colname="col4">0.759**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.413</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2">Winter</oasis:entry>

         <oasis:entry colname="col3">0.596**</oasis:entry>

         <oasis:entry colname="col4">0.690**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.449</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="4">Suburban</oasis:entry>

         <oasis:entry colname="col2">Annual</oasis:entry>

         <oasis:entry colname="col3">0.745**</oasis:entry>

         <oasis:entry colname="col4">0.730**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.325</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Spring</oasis:entry>

         <oasis:entry colname="col3">0.256*</oasis:entry>

         <oasis:entry colname="col4">0.518**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M222" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.391</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Summer</oasis:entry>

         <oasis:entry colname="col3">0.126</oasis:entry>

         <oasis:entry colname="col4">0.576**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.061</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Autumn</oasis:entry>

         <oasis:entry colname="col3">0.135</oasis:entry>

         <oasis:entry colname="col4">0.792**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.618</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2">Winter</oasis:entry>

         <oasis:entry colname="col3">0.676**</oasis:entry>

         <oasis:entry colname="col4">0.663**</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.545</mml:mn></mml:mrow></mml:math></inline-formula>**</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e3053">“*” denotes that the value is significant at the 0.05 level. “**” denotes that the value is significant at the 0.01 level.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><?xmltex \opttitle{Effect of meteorological factors on the NH${}_{{3}}$ levels}?><title>Effect of meteorological factors on the NH<inline-formula><mml:math id="M226" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels</title>
      <p id="d1e3377">Table 3 presents the annual and seasonal correlation coefficients between
the daily means of NH<inline-formula><mml:math id="M227" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios and those of the temperature,
relative humidity, and wind speed at the two sites. Annually, the NH<inline-formula><mml:math id="M228" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios at both sites were positively correlated with temperature and
relative humidity and negatively correlated with wind speed, and the
correlations are all highly significant. However, the correlations
deteriorated somewhat in warm seasons. In summer and autumn, no significant
correlations were noted between ambient NH<inline-formula><mml:math id="M229" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and temperature at the two
sites. The correlation between NH<inline-formula><mml:math id="M230" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and wind speed in summer was much
weaker than in the other seasons. The relative humidity was more strongly
correlated with the NH<inline-formula><mml:math id="M231" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration at the two sites than
temperature, which can be perceived in Fig. 2. Also, the correlation between
NH<inline-formula><mml:math id="M232" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and relative humidity did not vary much from season to season. This
implies the possibility that relative humidity exerts a certain influence on
the variation of the NH<inline-formula><mml:math id="M233" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> level in the surface layer.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e3446">Diurnal variations in and correlation coefficients between
the NH<inline-formula><mml:math id="M234" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios and the respective temperature <bold>(a)</bold> and relative humidity <bold>(b)</bold> in
different seasons at the urban and suburban sites in Beijing.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e3473">Contour maps of the NH<inline-formula><mml:math id="M235" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio, temperature,
and relative humidity in different seasons at the <bold>(a)</bold> urban and <bold>(b)</bold> suburban sites
in Beijing.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f06.png"/>

        </fig>

      <p id="d1e3497">Figure 5 displays the seasonal mean diurnal variations in the NH<inline-formula><mml:math id="M236" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratio, temperature, and relative humidity in different seasons at the urban
and suburban sites, with their correlation coefficients shown in Fig. S5. At
the urban site, the seasonal hourly means of the NH<inline-formula><mml:math id="M237" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio were
positively (negatively) correlated with those of temperature (relative
humidity) in spring, but the correlations were reversed in the other
seasons. At the suburban site, the seasonal hourly means of the NH<inline-formula><mml:math id="M238" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratio were positively (negatively) correlated with those of
temperature (relative humidity) in the spring and summer, but they were less
correlated in autumn and winter. Similar correlation behaviors (diurnal
variations) were found at both sites in spring, but the
correlations (diurnal variations) at the urban site behaved differently from
those at the suburban site in other seasons. The inconsistent behavior in summer, autumn, and
winter caused urban–suburban differences in the annual diurnal patterns of
NH<inline-formula><mml:math id="M239" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, temperature, and relative humidity as well as the
NH<inline-formula><mml:math id="M240" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>–temperature (relative humidity) correlations, as can be seen from
Fig. S6. Figure 6 displays the contour maps of the NH<inline-formula><mml:math id="M241" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio,
temperature, and relative humidity in different seasons at the urban and
suburban sites. The annual contour maps are shown in Fig. S7. As shown in
these contour maps, the NH<inline-formula><mml:math id="M242" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at both sites increased with
relative humidity at the same temperature and increased with temperature at the same
relative humidity. Although there is some scatter in the contour maps,
high NH<inline-formula><mml:math id="M243" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels are generally associated with high temperature and
humidity. In winter, when the air temperature was low (<inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M245" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), the NH<inline-formula><mml:math id="M246" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at both sites often had low values except at
high humidity (<inline-formula><mml:math id="M247" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> %). An increase in temperature caused
higher NH<inline-formula><mml:math id="M248" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at both sites; however, the NH<inline-formula><mml:math id="M249" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration at the suburban site was more significantly correlated with
temperature than that at the urban site (Table 3), suggesting that volatile
NH<inline-formula><mml:math id="M250" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources might have a higher contribution to the NH<inline-formula><mml:math id="M251" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration in suburban than in urban area. A higher amount of NH<inline-formula><mml:math id="M252" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> removal via chemical transformation is expected during the day at the
urban site than at the suburban site, as the urban area had a higher
relative humidity, higher particulate matter concentrations, and higher
acid gas emissions (particularly NO<inline-formula><mml:math id="M253" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) than the suburban area. In 2018, the
concentrations of PM<inline-formula><mml:math id="M254" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>, SO<inline-formula><mml:math id="M255" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, and NO<inline-formula><mml:math id="M256" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> were 50,
5, and 43 <inline-formula><mml:math id="M257" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in Haidian and 46, 6, and 35 <inline-formula><mml:math id="M258" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in Changping, respectively, as reported
by the Beijing Ecology and Environment Statement.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e3734">Wind rose diagrams of the NH<inline-formula><mml:math id="M259" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios, wind frequency,
and wind speed in different wind direction sectors.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f07.png"/>

        </fig>

      <p id="d1e3752">To explore the influence of wind on the NH<inline-formula><mml:math id="M260" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios, wind rose diagrams
were drawn for the hourly mean concentration of NH<inline-formula><mml:math id="M261" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, wind direction
frequency, and wind speed during the observation period (Fig. 7). The
large-scale wind circulation in the North China Plain is often influenced by
the mountain–plain topography; therefore, the dominant winds in this region
are southerly (from noon to midnight) and northerly (from midnight to noon)
(Lin et al., 2009, 2011). As displayed in Fig. 7, some
differences existed in the distributions of the surface wind between the
urban and suburban sites. The prevailing surface winds were northeasterly
and southwesterly at the urban site and northwesterly and easterly at the
suburban site. At the urban site, the NH<inline-formula><mml:math id="M262" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios were relatively
high when the winds originated from the southern sectors and relatively low
when the winds originated from the northwestern sectors. Therefore, under
southwesterly wind conditions, air masses from the south of Beijing carry not only air
pollutants but also higher levels of NH<inline-formula><mml:math id="M263" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to the urban site. Meng et al. (2017) examined the effect of long-range air transport on the urban NH<inline-formula><mml:math id="M264" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
levels in Beijing during the summer using trajectory analysis. They
concluded that the air mass from the southeast has a cumulative effect on
the NH<inline-formula><mml:math id="M265" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration. Although the dominant wind direction at the
suburban site was different from that at the urban site, the NH<inline-formula><mml:math id="M266" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios were also relatively high in the southern sectors. Thus, winds from the
southeast, south, and southwest can elevate levels of atmospheric NH<inline-formula><mml:math id="M267" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
at both the urban and suburban sites. The NH<inline-formula><mml:math id="M268" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3<?pagebreak page4569?></mml:mn></mml:msub></mml:math></inline-formula> mixing ratios were
relatively low when air masses originated from the northwestern sector at the urban
site and from the western sector at the suburban site. The western and northwestern
winds were stronger and promoted the dilution and diffusion of NH<inline-formula><mml:math id="M269" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
emitted into the boundary layer.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e3848">Diurnal variations in the rainfall and NH<inline-formula><mml:math id="M270" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration on 18 August 2018.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/4561/2021/acp-21-4561-2021-f08.png"/>

        </fig>

      <p id="d1e3867">As a water-soluble gas, NH<inline-formula><mml:math id="M271" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can be impacted by precipitation. Heavy
rainfall occurred on 18 August 2018 (Fig. 8). Before the rainfall, the
NH<inline-formula><mml:math id="M272" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration at the urban site was higher than the average level
in August. After the rainfall, the NH<inline-formula><mml:math id="M273" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration decreased rapidly,
and it was significantly lower than the mean value in August. However, the
diurnal pattern of NH<inline-formula><mml:math id="M274" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on that day did not differ considerably from the
average diurnal pattern in August. On the same day, the NH<inline-formula><mml:math id="M275" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratio at the suburban site remained at a low level during the rainfall
period, which was considerably lower than the August mean NH<inline-formula><mml:math id="M276" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration during the same time of day. However, the NH<inline-formula><mml:math id="M277" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratio increased rapidly after the precipitation and reached the mean level
at 17:00. The rainfall might have had an obvious clearing effect on NH<inline-formula><mml:math id="M278" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, but
more case studies are needed to reach a robust conclusion.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d1e3952">In this study, the atmospheric NH<inline-formula><mml:math id="M279" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at an urban site and
a suburban site in Beijing were continuously and simultaneously observed
from January 2018 to January 2019. The mean NH<inline-formula><mml:math id="M280" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios were <inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:mn mathvariant="normal">21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mn mathvariant="normal">22</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> ppb at the urban and suburban sites,
respectively. These NH<inline-formula><mml:math id="M283" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels<?pagebreak page4570?> are among the highest mean values found
in China and much higher than those reported for some developed countries in
America, Europe, and Asia. In the summer and spring, the NH<inline-formula><mml:math id="M284" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios at the suburban site were slightly higher than those at the urban
site. In the autumn and winter, however, the situation was reversed. The
highest NH<inline-formula><mml:math id="M285" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the urban and suburban sites were all
found in July. The lowest NH<inline-formula><mml:math id="M286" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio occurred in February at the
urban site and in January at the suburban site. A comparison with data from the
literature shows that the mean concentration of NH<inline-formula><mml:math id="M287" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in Beijing did not
change considerably in the decade before 2019.</p>
      <p id="d1e4043">The hourly mean NH<inline-formula><mml:math id="M288" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the urban site were highly
correlated (<inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.849</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) with those at the suburban site.
However, the mean diurnal variations in the NH<inline-formula><mml:math id="M291" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at the
urban and suburban sites were different. At the urban site, lower NH<inline-formula><mml:math id="M292" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios were observed in the daytime and higher mixing ratios were observed at night. The
opposite trend was observed at the suburban site. Although both sites were
under the influence of similar weather systems, the seasonal diurnal
variations in the NH<inline-formula><mml:math id="M293" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio were different at the urban and
suburban sites, suggesting that NH<inline-formula><mml:math id="M294" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sources had different relative
contributions to the NH<inline-formula><mml:math id="M295" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels at the urban and suburban sites.</p>
      <p id="d1e4125">The relationship of meteorological factors with the NH<inline-formula><mml:math id="M296" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio
was complex. Overall, the NH<inline-formula><mml:math id="M297" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios increased with relative
humidity and temperate at both sites. Relative humidity was more strongly
correlated with the NH<inline-formula><mml:math id="M298" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio at both sites. The situation in
different seasons varied and was site dependent, which warrants further
studies. A high wind speed (mainly under northwesterly wind conditions) suppressed the
levels of NH<inline-formula><mml:math id="M299" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at both sites. The NH<inline-formula><mml:math id="M300" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios were higher
under southerly wind conditions. Rainfall had a certain scavenging effect on
NH<inline-formula><mml:math id="M301" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> but had little effect on the diurnal variations in the NH<inline-formula><mml:math id="M302" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration.</p>
</sec>

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

      <p id="d1e4197">The stationary measurement data are available upon reasonable request from the
corresponding author, Weili Lin (linwl@muc.edu.cn).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4200">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-21-4561-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-21-4561-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4209">ZL and WL developed the idea for this paper, formulated the research
goals, and carried out the measurements at the urban site. WP and ZM carried out
the NH<inline-formula><mml:math id="M303" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> field observations at the suburban site.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4224">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><?pagebreak page4571?><p id="d1e4230">The authors wish to thank Xu Xiaobin for help with language editing and professor Guo Le for providing the land use map of Beijing.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e4235">This research has been supported by the National Natural Science Foundation of China (grant no. 91744206) and the Beijing Municipal Science and Technology Commission (grant no. Z181100005418016).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4241">This paper was edited by James Allan and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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    <!--<article-title-html>Measurement report: Exploring NH<sub>3</sub> behavior in urban and suburban Beijing: comparison and implications</article-title-html>
<abstract-html><p>Ammonia (NH<sub>3</sub>) plays an important role in particulate matter formation;
hence, its atmospheric level is relevant to human health and climate
change. Due to different relative distributions of NH<sub>3</sub> sources,
concentrations of atmospheric NH<sub>3</sub> may behave differently in urban and
rural areas. However, few parallel long-term observations of NH<sub>3</sub> exist to
reveal the different behaviors of NH<sub>3</sub> concentrations at urban
and rural sites in a same region. In this study, online ammonia analyzers
were used to continuously observe atmospheric NH<sub>3</sub> concentrations at an
urban site and a suburban site in Beijing from 13 January 2018 to 13 January 2019. The observed mixing ratio of NH<sub>3</sub> averaged 21±14&thinsp;ppb
(range of 1.6–133&thinsp;ppb) at the urban site and 22±15&thinsp;ppb (range of
0.8–199&thinsp;ppb) at the suburban site. The NH<sub>3</sub> mixing ratios at the urban
and suburban sites exhibited similar seasonal variations, with high values
in summer and spring and low values in autumn and winter. The hourly mean
NH<sub>3</sub> mixing ratios at the urban site were highly correlated (<i>R</i> = 0.849,
<i>P</i> &lt; 0.01) with those at the suburban site; however, the average
diurnal variations in the NH<sub>3</sub> mixing ratios at the urban and suburban
sites differed significantly, which implies different contributions from
NH<sub>3</sub> sources and sinks at the urban and suburban sites. In addition to
the emission sources, meteorological factors were closely related to the
changes in the NH<sub>3</sub> concentrations. For the same temperature (relative
humidity) at the urban and suburban sites, the NH<sub>3</sub> mixing ratios
increased with relative humidity (temperature). Relative humidity was the
factor with the strongest influence on the NH<sub>3</sub> mixing ratio in
different seasons at the two sites. The relationships between the NH<sub>3</sub>
concentrations and temperature (relative humidity) varied from season to
season and showed differences between the urban and suburban sites. The
reasons for the different relationships need to be investigated in future
studies. Higher wind speed mainly from the northwest sector lowered the
NH<sub>3</sub> mixing ratios at both sites. Similarly to other primary pollutants
in Beijing, the NH<sub>3</sub> mixing ratios were high when impacted by air masses
from the southern sector.</p></abstract-html>
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