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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-18-247-2018</article-id><title-group><article-title>Feedback effects of boundary-layer meteorological factors on cumulative
explosive growth of PM<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> during winter heavy<?xmltex \hack{\break}?> pollution episodes in
Beijing from 2013 to 2016</article-title><alt-title>Feedback effects of boundary-layer meteorological factors</alt-title>
      </title-group><?xmltex \runningtitle{Feedback effects of boundary-layer meteorological factors}?><?xmltex \runningauthor{J. Zhong et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Zhong</surname><given-names>Junting</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4109-3405</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Zhang</surname><given-names>Xiaoye</given-names></name>
          <email>xiaoye@cma.gov.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Dong</surname><given-names>Yunsheng</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wang</surname><given-names>Yaqiang</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3 aff4">
          <name><surname>Liu</surname><given-names>Cheng</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3759-9219</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wang</surname><given-names>Jizhi</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Zhang</surname><given-names>Yangmei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Che</surname><given-names>Haochi</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8323-8633</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>State Key Laboratory of Severe Weather &amp; Key Laboratory of
Atmospheric Chemistry of CMA, <?xmltex \hack{\break}?>Chinese Academy of Meteorological
Sciences, Beijing, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Center for Excellence in Regional Atmospheric Environment, IUE,
Chinese Academy of Sciences, Xiamen, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Key Laboratory of Environmental Optics and Technology, Anhui Institute
of Optics and Fine Mechanics, <?xmltex \hack{\break}?>Chinese Academy of Sciences, Hefei, China</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>School of Earth and Space Sciences, University of Science and
Technology of China, Hefei 230026, China</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Physics, University of Oxford, Oxford, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Xiaoye Zhang (xiaoye@cma.gov.cn)</corresp></author-notes><pub-date><day>10</day><month>January</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>1</issue>
      <fpage>247</fpage><lpage>258</lpage>
      <history>
        <date date-type="received"><day>9</day><month>September</month><year>2017</year></date>
           <date date-type="rev-request"><day>15</day><month>September</month><year>2017</year></date>
           <date date-type="rev-recd"><day>14</day><month>November</month><year>2017</year></date>
           <date date-type="accepted"><day>21</day><month>November</month><year>2017</year></date>
      </history>
      <permissions>
        
        
      <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>
    <p id="d1e186">In January 2013, February 2014, December 2015 and December 2016
to 10 January 2017, 12 persistent heavy aerosol pollution episodes
(HPEs) occurred in Beijing, which received special attention from the public. During the HPEs, the precise
cause of PM<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> explosive growth (mass concentration at least doubled in
several hours to 10 h) is uncertain. Here, we analyzed and estimated relative
contributions of boundary-layer meteorological factors to such growth, using
ground and vertical meteorological data. Beijing HPEs are generally
characterized by the transport stage (TS), whose aerosol pollution formation
is primarily caused by pollutants transported from the south of Beijing, and
the cumulative stage (CS), in which the cumulative explosive growth of
PM<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass is dominated by stable atmospheric stratification
characteristics of southerly slight or calm winds, near-ground anomalous
inversion, and moisture accumulation. During the CSs, observed southerly weak
winds facilitate local pollutant accumulation by minimizing horizontal
pollutant diffusion. Established by TSs, elevated PM<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels scatter
more solar radiation back to space to reduce near-ground temperature,
which very likely causes anomalous inversion. This surface cooling by
PM<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> decreases near-ground saturation vapor pressure and increases
relative humidity significantly; the inversion subsequently reduces vertical
turbulent diffusion and boundary-layer height to trap pollutants and
accumulate water vapor. Appreciable near-ground moisture accumulation
(relative humidity&gt; 80 %) would further enhance aerosol hygroscopic growth and
accelerate liquid-phase and heterogeneous reactions, in which incompletely
quantified chemical mechanisms need more investigation. The positive
meteorological feedback noted on PM<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass explains over 70 % of cumulative
explosive growth.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <?pagebreak page248?><p id="d1e241">Since a persistent heavy fog and haze event occurred in eastern China in
January 2013, fine particulate matter smaller than 2.5 <inline-formula><mml:math id="M7" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m in diameter
(PM<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, as a key component of pollution episodes, has drawn wide
attention all over China. Elevated PM<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> leads a sharp decrease in
visibility that affects economic activities by causing traffic disruptions
and contains toxic substances that affect the respiratory and circulatory system
(Chen et al., 2013; Bai et al., 2007). The interaction between aerosol and
radiation directly and indirectly affects weather and climate (Zhang et
al., 2013; R. Y. Zhang et al., 2015; Wei et al., 2011; Boucher et al., 2013; Wang et
al., 2010). China has experienced heavy aerosol pollution episodes recently,
with PM<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> reaching unprecedentedly high levels in many cities,
particularly Beijing and its vicinity (BIV), which is one of the nation's
most polluted regions (Zhang et al., 2012).</p>
      <p id="d1e281">To elucidate the causes of such heavy-pollution episodes, a variety of
explanations have been proposed (Huang et al., 2014; Y. Sun et al., 2014; Y. L. Sun
et al., 2014; X. Wang et al., 2014; Z. Wang et al., 2014). Previous studies found
that atmospheric conditions represented one critical parameter in regulating
the cycles of pollution episodes in Beijing in autumn 2013 (Guo et al.,
2014; Zhang et al., 2009) and in the North China Plain and other areas in
China (X. Y. Zhang et al., 2015). During one pollution
episode, an analysis of atmospheric background fields revealed dynamic and
thermodynamic effects substantially affected pollution formation (Zhang
et al., 2014). Specifically, aerosol pollution in Beijing was possibly
contributed by a southerly–southwesterly surface wind (Z. B. Wang
et al., 2013). This likely attribution was further confirmed by source
apportionment from the Beijing Environmental Protection Bureau in
2012–2013. In addition, aerosol pollution can be formed by
secondary aerosol formation through atmospheric chemical reactions,
including liquid-phase reactions, in which aqueous SO<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is oxidized by
NO<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, H<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to form sulfate, and heterogeneous
reactions, in which NO<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and N<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula> form nitrates with water
(B. Zheng et al., 2015; Cheng et al., 2016).</p>
      <p id="d1e357">Although these cited studies existed, the formation mechanism during
different stages for heavy aerosol pollution in Beijing, especially the
explosive growth stage of PM<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration, is still not clear.
Previous studies focused more on whether unfamiliar chemical mechanisms were
not or inadequately considered in Beijing, a region with high concentrations
of various aerosol components (X. Wang et al., 2014). This view was
questioned by subsequent research, suggesting that such rapid growth is
mainly attributable to the regional transport of clean and polluted air
mass, which derived from the comparison between surface meteorological
factors and the PM<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration in several cities of the North
China Plain (G. J. Zheng et al., 2015). However, the
attribution of such growth's drivers is unreasonable occasionally because
the rapid growth may occur with weak surface winds and stable
stratification, which are unfavorable for transport. Then vertical
meteorological variations in the boundary layer (BL) in one autumnal episode, which significantly affect the PM<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass
concentration near the ground, have been analyzed (Hua et al., 2016). However, in the
absence of long-term observations of meteorological factors and pollutant
concentrations, most research concerning pollution causes focuses on one or
several consecutive pollution episodes at a certain time, and almost no
research attempts to investigate, conclude on and quantify the contributions of
meteorological factors to the majority of heavy-pollution episodes since
2013, particularly the feedback effect of meteorological factors during
explosive growth processes. Such investigations will definitely provide a
clearer understanding of roles that various vertical meteorological factors
play in heavy-pollution episodes. Therefore, this paper primarily uses
vertical measurements of meteorological factors in the BL from 2013 to 2016,
investigates their contributions to the explosive growth of PM<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
during the heavy-pollution episodes in Beijing and also attempts to
quantify the effect of meteorological factors on the explosive growth of
PM<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e407">Temporal variations in urban mean
PM<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> and vertical distributions of meteorological
factors in January 2013. <bold>(a)</bold> PM<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration (dark gray or
gray: Beijing; light gray: Baoding); <bold>(b)</bold> winds (vectors; red vectors:
southwesterly winds) and wind velocity (shadings; units: m s<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>);
<bold>(c)</bold> temperature (shadings; units: <inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C); <bold>(d)</bold> RH (shadings; units: %). Green boxes: rising processes; red boxes: cumulative explosive processes.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
      <?pagebreak page249?><p id="d1e474">In this study, the following data are used. (1) Hourly PM<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass
concentration measured by state-controlled stations of the Ministry of
Environmental Protection in Beijing and Baoding. PM<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass
concentrations of urban stations were averaged to represent urban pollution
conditions. (2) Atmospheric vertical observations twice daily at 08:00
Beijing Time (BJT) and 20:00 BJT, including winds, temperature and relative
humidity (RH), measured using an L-band radiosonde radar at the observatory
(54 511) in southern Beijing from 1 to 31 January 2013, 1
to 28 February 2014, 26 November to 31 December 2015 and
21 December 2016 to 10 January 2017. The observatory is located at the edge
of the urban area of Beijing, so it could be used to represent urban vertical
meteorological conditions to some degree due to the regional-change
characteristics of air masses. (3) Hourly ground-level meteorological
observations from automatic weather stations (AWSs) were provided by the National
Meteorological Information Center of the China Meteorological
Administration. (4) Lidar observations were measured every 15 min by one Mie-elastic backscatter polarization lidar emitting short pulses of
20 Hz at 532 nm at the Institute of Atmospheric Physics, located in the
northern urban area of Beijing. The optical parameters of the aerosol
particles were retrieved by the backscattering signals. Then the vertical
profiles of the aerosol extinction coefficient and linear depolarization
ratio were obtained based on the assumptive lidar ratios of 50 for aerosols
using Fernald's method (Fernald, 1984; Lv et al., 2017). (5) A
parameterized index, PLAM (Parameter Linking Aerosol Pollution and
Meteorological Elements), was calculated with the observations from the
observatory (54 511). PLAM was built as a function of the following
parameters:

              <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M30" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi mathvariant="normal">PLAM</mml:mi><mml:mo>(</mml:mo><mml:mi>F</mml:mi><mml:mo>)</mml:mo><mml:mo>∈</mml:mo><mml:mi>f</mml:mi><mml:mo>(</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi><mml:mo>,</mml:mo><mml:mi>w</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">rh</mml:mi><mml:mo>,</mml:mo><mml:mi>e</mml:mi><mml:mo>,</mml:mo><mml:mi>s</mml:mi><mml:mo>,</mml:mo><mml:msup><mml:mi>c</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>,</mml:mo><mml:mi mathvariant="normal">…</mml:mi><mml:mo>)</mml:mo><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

        where <inline-formula><mml:math id="M31" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M32" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M33" display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula>, rh, <inline-formula><mml:math id="M34" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M35" display="inline"><mml:mi>s</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msup><mml:mi>c</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> represent air pressure, air temperature,
winds, relative humidity, evaporability, stability and effective parameter
associated with the contribution of air pollution <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mi mathvariant="italic">β</mml:mi><mml:mo>(</mml:mo><mml:msup><mml:mi>c</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>),
respectively. PLAM is further attributed to two major separate factors: (1) initial meteorological conditions <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mi mathvariant="italic">α</mml:mi><mml:mo>(</mml:mo><mml:mi>m</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> associated with the
atmospheric condensation processes and (2) a dynamic effective parameter
associated with the initial contribution of air pollution <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mi mathvariant="italic">β</mml:mi><mml:mo>(</mml:mo><mml:msup><mml:mi>c</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>:

              <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M40" display="block"><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">PLAM</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="italic">α</mml:mi><mml:mo>(</mml:mo><mml:mi>m</mml:mi><mml:mo>)</mml:mo><mml:mo>×</mml:mo><mml:msup><mml:mi mathvariant="italic">β</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>

        It mainly indicates the regional atmospheric stability and air condensation
ability. The details of its calculation are presented in previous studies
(J. Wang et al., 2013; X. Y. Zhang et al., 2015; Zhang et al., 2009; Wang et al.,
2012).</p>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <title>Characteristics of explosive growth in heavy-pollution
episodes</title>
      <p id="d1e695">A period during which the PM<inline-formula><mml:math id="M41" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> level is less than 35 <inline-formula><mml:math id="M42" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
is defined as a clean period based on the PM<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> daily mean mass
concentration limit in the primary standard of China's national
environmental quality standards, while a pollution episode is referred to as
an episode during which the PM<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> exceeds 80 <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> for 3
consecutive days between two clean periods. Pollution episodes with peak
PM<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> values less than 300 <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> or more than 400 <inline-formula><mml:math id="M51" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g
 m<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are termed light-pollution episodes (LPEs) or heavy-pollution
episodes (HPEs), respectively.</p>
      <p id="d1e809">Based on the urban PM<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> monthly mean mass concentration in winter in Beijing from 2013 to 2016, the months with the highest mass concentration each
year were selected to represent severe PM<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> pollution conditions
in winter; these months are January in 2013, February in 2014, December in 2015 and
December in 2016. These months are termed the wintertime
pollution period (WPP) for the convenience of further investigation.</p>
      <p id="d1e830">During the WPP, 12 HPEs occur in total (Figs. 1–4; dark
gray), whose PM<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration is 244.3 <inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> on average. The maximum mean value (307.4 <inline-formula><mml:math id="M58" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> appears in
HPE<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>, which has been analyzed in detail in a variety of papers
(Zhang et al., 2013, 2014). The concentrations of HPE<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:math></inline-formula> and HPE<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:math></inline-formula> are 304.2 and 294.5 <inline-formula><mml:math id="M63" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively, which is slightly lower than HPE<inline-formula><mml:math id="M65" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula>. The minimum
mean concentration of PM<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> occurs in HPE<inline-formula><mml:math id="M67" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">8</mml:mn></mml:msub></mml:math></inline-formula> (160.4 <inline-formula><mml:math id="M68" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, which is, nevertheless, nearly twice as much as the mean annual mass
concentration of PM<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> in 2015.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e991">Temporal variations in urban mean
PM<inline-formula><mml:math id="M71" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> and vertical distributions of meteorological
factors in February 2014. <bold>(a)</bold> PM<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration (dark gray or
gray: Beijing; light gray: Baoding); <bold>(b)</bold> winds (vectors; red vectors:
southwesterly winds) and wind velocity (shadings; units: m s<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>);
<bold>(c)</bold> temperature (shadings; units: <inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C); <bold>(d)</bold> RH (shadings; units: %). Green boxes: rising processes.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f02.png"/>

        </fig>

      <p id="d1e1053">Typical PM<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> rising processes (see color-coding in the figures) in HPEs were selected,
which appeared in 11 of the 12 HPEs. The processes marked in green are
tentatively referred to as rising processes, since they generally keep
rising consistently with relatively strong southerly winds compared with
subsequent growth and vary sensitively and rapidly in response to the wind shifting from a northerly to a southerly direction in the BL. During HPEs, the growth processes in
which the PM<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration is at least doubled in several or
ten hours in the later period of HPEs are termed explosive growth processes.
The explosive growth processes marked in red are tentatively termed cumulative
explosive growth processes because of anomalous inversion facilitating
pollutant accumulation. The explosive growth processes<?pagebreak page250?> marked in purple are
tentatively known as convergent explosive growth processes, for local wind
convergence occurs (Fig. 6) with weak wind velocity and no anomalous
inversion. The early stages of HPEs during which PM<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> keeps rising are
defined as transport stages (TSs), while the later stages during which
cumulative/convergent explosive growth appears are termed cumulative stages
(CSs).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e1085">Temporal variations in urban mean
PM<inline-formula><mml:math id="M78" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> and vertical distributions of meteorological
factors in December 2015. <bold>(a)</bold> PM<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration (dark gray or
gray: Beijing; light gray: Baoding); <bold>(b)</bold> winds (vectors; red vectors:
southwesterly winds) and wind velocity (shadings; units: m s<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>);
<bold>(c)</bold> temperature (shadings; units: <inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C); <bold>(d)</bold> RH (shadings; units: %). Green boxes: rising processes; red boxes: cumulative explosive processes.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Meteorological causes of the explosive growth in HPEs</title>
<sec id="Ch1.S3.SS2.SSS1">
  <?xmltex \opttitle{PM${}_{{2.5}}$ pollution formation is primarily caused by pollutants transported
from the south of Beijing, which subsequently worsens weather conditions}?><title>PM<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> pollution formation is primarily caused by pollutants transported
from the south of Beijing, which subsequently worsens weather conditions</title>
      <p id="d1e1167">We found that, during clean periods, mostly strong northwesterly winds occur whose velocity increases with height; during the HPEs, the southwesterly
winds with dramatically decreased velocity were most frequent (Figs. 1–4a, b). Strong northerly winds and weak southerly winds closely correspond to
the clean periods and the HPEs, respectively, because northwesterly winds,
which are from less populated northern mountainous areas, carry unpolluted air
masses while southerly winds carry polluted air masses from more populated
and polluted southern industrial regions (Jia et al., 2008; Liu et al.,
2013; Guo et al., 2014).</p>
      <p id="d1e1170">During the TSs with southerly winds, air temperature and moisture
substantially increase compared with clean periods with northerly winds
(Figs. 1–4b, c, d), which indicates the warm and humid southerly airflow
transports more water vapor and heat into Beijing. During 15 rising processes
(green lines), nearly no striking near-ground (&lt; 250 m) moisture
accumulation appears; no anomalous inversion appears except for brief weak
inversion, which suggest that vertical variations in temperature and RH are
unlike to primarily cause such rising. Nevertheless, weak inversion and more
near-ground moisture favor growth.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e1175">Temporal variations in urban mean
PM<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> and vertical distributions of meteorological
factors in December 2016. <bold>(a)</bold> PM<inline-formula><mml:math id="M84" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration (dark gray or
gray: Beijing; light gray: Baoding); <bold>(b)</bold> winds (vectors; red vectors:
southwesterly winds) and wind velocity (shadings; units: m s<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>);
<bold>(c)</bold> temperature (shadings; units: <inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C); <bold>(d)</bold> RH (shadings; units: %). Green boxes: rising processes; red boxes: cumulative explosive processes.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f04.png"/>

          </fig>

      <p id="d1e1237">If we assume that the primary cause of this rising is pollution accumulation
due to local emissions, the rising needs to coincide with light
(0.3–1.5 m s<inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> or calm (0–0.2 m s<inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> air observed during the later TSs instead of the slight
(1.6–3.3 m s<inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> or gentle (3.4–5.4 m s<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> breeze observed during the early TSs because weaker
winds result in a stagnant condition, which is more favorable for local
accumulation. However, the majority of later TSs with calm air do not
exhibit such rising (Figs. 1–4a, b), which suggests local emissions under
weak winds are likely conducive but not dominant with respect to rising.</p>
      <p id="d1e1300">Before rising processes during HPE<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula>, the urban PM<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass
concentration of Baoding (light gray lines), which is typically
representative of pollution conditions in the south of Beijing, was much
higher than in Beijing; the<?pagebreak page251?> winds in Beijing rapidly shifted from northerly to
southerly. Then the rising (green lines) occurred, consistently with
southerly slight or gentle breezes in the BL (green boxes). The southerly
air mass moved more than 288 km d<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> below 500 m (estimated from
the measured wind speed), which is fast enough to transport pollutants to
Beijing. Similar conditions appeared in eight of other nine HPEs with rising. Such
processes indicate that southerly pollutant transport is primarily responsible
for the rising, given the pollution transport pathway of the southwest wind
belt determined by the unique geographic features of the North China Plain,
with the Taihang Shan and the Yan Shan strengthening the
southwest wind belt and leading to the convergence of pollutant transport in
Beijing. (Su et al., 2004). Governed by this transport pathway,
PM<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration increased by <inline-formula><mml:math id="M95" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 400 <inline-formula><mml:math id="M96" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> from less than 35 <inline-formula><mml:math id="M98" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in 10 h on 22 January
2013 when winds shifted from northerly to southerly with much higher
PM<inline-formula><mml:math id="M100" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> concentrations in Baoding.</p>
      <p id="d1e1402">Pollutants transported from the south of Beijing primarily result in
PM<inline-formula><mml:math id="M101" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> pollution formation in the urban area of Beijing, to which possible
weak inversion and the near-surface moisture accumulation is conducive. Warm
and humid airflow from the south transports more water vapor and pollutants
to the North China Plain, which creates the requisite moisture and pollution
accumulation conditions for subsequently cumulative explosive growth.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <title>Worsening meteorological conditions primarily cause cumulative explosive
growth</title>
</sec>
<sec id="Ch1.S3.SS2.SSSx1" specific-use="unnumbered">
  <title>Feedback of anomalous inversion on pollutant accumulation</title>
      <p id="d1e1426">Anomalous inversion occurs during 10 of 12 HPEs (Figs. 1–4a,
c). The factors that cause inversion in Beijing include topography,
advection and radiation. With the Taihang Shan and the Yan Shan
lying north of Beijing, a cold air mass flows down into the urban area of Beijing
from the mountain peaks, which occasionally causes topography inversion;
advection inversion occurs when a warm and less dense air mass moves over a
cold and dense air mass. However, during most cumulative stages, the
anomalous inversion appears with slight or calm winds, which suggests that
the movement of air masses is not striking, so the contribution of
topography and advection to such inversion is limited. The ground emits
long-wave radiation at night to reduce near-ground temperature to facilitate
inversion occasionally. However, almost no anomalous inversion occurs
without pre-existing high PM<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration in the WPP (Figs. 1–4), which suggests that the<?pagebreak page252?> ground radiation is likely
conducive to weak/normal inversion but not dominant with respect to
anomalous inversion.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e1440">Time series of vertical distributions of the extinction
coefficient of aerosols observed in the northern urban area of Beijing from
19 to 20 December 2016. Dashed lines: the approximate boundary-layer
height.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f05.png"/>

          </fig>

      <p id="d1e1449">The anomalous inversion noted is preceded by existing relatively high PM<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
levels generally established by the rising processes. Before the cumulative
explosive growth, existing aerosols are concentrated below 500 m (Fig. 5).
These low-layer aerosols backscatter amounts of radiation to space (J. Wang
et al., 2014; Gao et al., 2015) and cause a significant reduction in
radiation reaching the ground, which further reduces near-ground
temperature. These findings indicate that anomalous inversion is primarily
due to the radiation cooling effect of preexisting aerosols. Below the
inversion, near-ground temperature reduction cools down plumes or thermals
of originally warm surface air to decrease thermal turbulence; observed
weakened vertical shear of horizontal winds (Figs. 1–4b)
produces less vorticity to reduce mechanical turbulence, which further
strengthens the existing inversion.</p>
      <p id="d1e1461">Anomalous inversion traps pollution-laden air beneath it due to its strong
static stability (Wallace and Hobbs, 2006). It facilitates pollutant
accumulation by suppressing vertical air mixing and reducing BL height.
During the cumulative explosive growth with anomalous inversion in the
HPE<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:math></inline-formula>, the turbulent diffusion coefficient rapidly decreases from 100 to 50 m<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (model output of CUACE/Chem, the
mesoscale China Meteorological Administration (CMA) Unified Atmospheric
Chemistry modeling system, Hong Wang, personal communication, 2016), and
similar conditions of turbulent diffusion have been modeled in another
pollution episode in Beijing (Wang et al., 2015a, b); the BL height decreases from <inline-formula><mml:math id="M107" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500 m in the early
morning, to <inline-formula><mml:math id="M108" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 350 m at noon even to <inline-formula><mml:math id="M109" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 250 m at
night (Fig. 5), which coincide with the increase of PM<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> from
<inline-formula><mml:math id="M111" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 200 to <inline-formula><mml:math id="M112" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 450 <inline-formula><mml:math id="M113" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 4a). The striking layered structure in the BL occurs at the height of
<inline-formula><mml:math id="M115" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 300 m on 20 December 2016 (Fig. 5), which is consistent with
the lower edge of anomalous inversion (Fig. 4), which confirms the strong
inhibition of anomalous inversion. Additionally, a short cold air mass
invades the northern urban area of Beijing in the early morning on 20
December 2016. The enhanced movement increases the BL height and reduces the
PM<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration in part of the northern urban area (Fig. 5),
which slightly reduces the urban mean mass concentration of PM<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> in the early morning of that day (Fig. 4a). However, the anomalous inversion rapidly restores its
original structure to facilitate pollutant accumulation.</p>
      <?pagebreak page253?><p id="d1e1585">The occurrence of anomalous inversion in nine HPEs coincides with cumulative
explosive growth of PM<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels (F1 <inline-formula><mml:math id="M119" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4a, c), which
confirms the suppression of anomalous inversion to pollutants. Note that no
cumulative explosive growth of PM<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels appears in HPE<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
despite anomalous inversion, partly because the height of the lowest
inversion layer in HPE<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math id="M123" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 750 m) is much higher than
that in the nine HPEs (<inline-formula><mml:math id="M124" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 250 m), which suggests that near-ground
inversion is more favorable for pollutant accumulation.</p>
</sec>
<sec id="Ch1.S3.SS2.SSSx2" specific-use="unnumbered">
  <title>Anomalous inversion results in near-surface moisture
accumulation</title>
      <p id="d1e1652">During clean periods, the moisture is evenly distributed in the BL with RH of less than 40 %, while during the HPEs, RH is over 60 % (even 80 %) in
the lower or upper BL (Figs. 1–4c, d). During the HPEs, in
the absence of temperature inversion, moisture vertically distributes in the
BL, and the RH in the upper BL is occasionally higher than that of the
near-ground surface; in the presence of weak inversion, the lower edge of
the inversion layer is in approximate agreement with the RH contour of
60 %. In the presence of anomalous inversion (red boxes in Figs. 1–4c) in the BL, the lower edge of the strong inversion
layer frequently coincides with an RH contour of 80 % (red boxes in Figs. 1–4d), which is observed in most cumulative explosive
growth processes.</p>
      <p id="d1e1655">The relation of vertical temperature and RH previously noted indicates that
anomalous inversion results in appreciable near-surface moisture
accumulation by suppressing the vertical mixing of the water vapor
(Wallace and Hobbs, 2006). The vertical diffusion of the near-surface
water vapor as the anomalous inversion disappeared on 1 December 2016, 26
December 2016 and 5 January 2017 confirms the cited research outcome. Note that the mentioned near-ground temperature reduction caused by cooling effects
of aerosols is also conducive to moisture accumulation by decreasing
near-ground saturation vapor pressure to increase RH.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p id="d1e1660">Surface wind distributions before <bold>(a, d)</bold> and during <bold>(b, c; d, e)</bold> two convergent explosive growth processes in February 2014 on the
North China Plain.</p></caption>
            <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f06.png"/>

          </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS2.SSSx3" specific-use="unnumbered">
  <title>Moisture accumulation facilitates aerosol hygroscopic growth and additional
secondary aerosol formation</title>
      <p id="d1e1684">Strongly absorbent aerosol particles absorb and grow when additional water
vapor appears in the air (L. Zhang et al., 2015). The mass
concentrations of organic aerosols, sulfate, nitrate and ammonium rapidly
increase with RH (Fig. S1 in the Supplement). After moisture absorption in North China,
aerosol particle size increases by 20–60 %
(Pan et al., 2009) and aerosol direct radiative forcing
increases by <inline-formula><mml:math id="M125" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 % (L. Zhang et al., 2015). As a key
component of atmospheric aerosols, aerosol water serves as a medium that
enables aqueous-phase reactions (Pilinis et al., 1989; Seinfeld and
Pandis, 1986; Ervens et al., 2011). For example, aerosol water serves as a
reactor in which alkaline aerosol components trap SO<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, which is then
oxidized by NO<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to form sulfate in northern China (Cheng et al.,
2016). The ratio of SO<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to SO<inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> ranges from less than 0.1 at
RH&lt; 20 % to 1.1 at RH &gt; 90 %,
exhibiting an exponential increase with RH (Wang et al., 2016). In
addition, high RH facilitates heterogeneous chemical processes to aggravate
air pollution (Zhu et al., 2011). For example, the net reaction
probability of HNO<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> uptake on CaCO<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> particles was found to
increase with relative humidity from <inline-formula><mml:math id="M132" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.003 at 10 to 0.21
at 80 % (Liu et al., 2008).</p>
      <p id="d1e1762">The stable atmospheric stratification characteristic of southerly light or calm
winds, anomalous inversion, and near-ground (&lt; 250 m) moisture
accumulation (RH &gt; 80 %) dominates the cumulative explosive
growth of PM<inline-formula><mml:math id="M133" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>.</p>
      <?pagebreak page254?><p id="d1e1774">During the HPEs, nearly all 10 cumulative explosive growth processes (Figs. 1–4) occur concurrently with stable atmospheric stratification primarily
characterized by southerly light or calm winds, near-ground anomalous
inversion, and cumulative moisture (RH &gt; 80 %). The weak
southerly winds, increased with height, are conducive to the growth because
relatively strong southerly winds in the upper BL (<inline-formula><mml:math id="M134" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1000 m)
transport pollutants from the south of Beijing, while low-level
(<inline-formula><mml:math id="M135" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 250 m) southerly light or calm winds limiting the invasion
of northerly cold winds facilitate local pollution accumulation by
minimizing horizontal pollutant diffusion. The anomalous inversion
facilitates vertical pollutant accumulation by suppressing convection
activities. During the cumulative growth process in HPE<inline-formula><mml:math id="M136" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:math></inline-formula>, the
turbulent diffusion coefficient rapidly decreases from 100 to 50 m<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and the BL height decreases from 500
to <inline-formula><mml:math id="M139" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 250 m, which is extremely favorable for pollutant accumulation. The additional suppression of vertical mixing of water by
inversion and the decreased saturation vapor pressure previously noted cause
near-surface moisture accumulation (RH &gt; 80 %). This accumulated
moisture facilitates secondary aerosol formation in liquid-phase and
heterogeneous reactions to increase PM<inline-formula><mml:math id="M140" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e1840">Correlation between PLAM and PM2.5 during the cumulative
explosive growth processes in January 2013 <bold>(a)</bold>, December 2015 <bold>(c)</bold> and December
2016 <bold>(d)</bold> and the convergent explosive growth processes in
February 2014 <bold>(b)</bold>.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f07.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p id="d1e1864">A schematic figure of the formation mechanism for winter
heavy-pollution episodes in Beijing, which consist of the transport stage
(green background) and the cumulative stage (red background).</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/247/2018/acp-18-247-2018-f08.pdf"/>

          </fig>

      <p id="d1e1873">It is likely that it is primarily merely weak southerly winds or near-ground anomalous
inversion that can cause cumulative explosive growth. However, the
growth does not occur in the polluted process from 4 to 15 December 2015
with weak southerly winds, which indicates that weak southerly winds do not
suffice to cause cumulative explosive growth in the absence of anomalous
inversion; even with anomalous inversion, no explosive growth appeared on 14
and 24 January 2013, which suggests that anomalous inversion cannot cause
explosive growth without weak southerly winds. Therefore, cumulative
explosive growth in CSs primarily resulted from the joint effects of
southerly light or calm winds, near-ground anomalous inversion and moisture
accumulation.</p>
      <p id="d1e1876">Note that the cumulative explosive growth at 20:00 BJT on 3 January was
accompanied by a southerly gentle breeze (3.4–5.4 m s<inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, which suggests that low-level southerly pollutant transport
occasionally exerts an important impact on growth, with anomalous
inversion and near-ground moisture accumulation.</p>
</sec>
<sec id="Ch1.S3.SS2.SSSx4" specific-use="unnumbered">
  <title>Feedback of cumulative pollutants on worsening meteorological
conditions</title>
      <p id="d1e1900">Established from cumulative explosive growth, exceedingly high PM<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
levels further decrease the near-ground temperature by reflecting and
scattering more solar radiation, which strengthens the existing anomalous
inversion and subsequently results in additional pollutant accumulation
until the next synoptic process occurs. The near-surface temperature
decreased from 3<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at 20:00 BJT on 19 December to <inline-formula><mml:math id="M144" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at
08:00 BJT on 20 December after elevated ground PM<inline-formula><mml:math id="M146" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels (Fig. 4d). Then, it remained at <inline-formula><mml:math id="M147" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M148" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, with PM<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
of more than 400 <inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> until northerly strong
and clean winds blew the pollution away on 22 December.<?pagebreak page255?> Similar processes
also occurred in the CSs of other HPEs, which confirms the outcome.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>Local air convergence is favorable for convergent explosive
growth</title>
      <p id="d1e2004">The explosive growth of PM<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> appears in HPE<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula> without
inversion and near-ground moisture accumulation (Fig. 2), which suggests that stable atmospheric stratification noted previously does not primarily cause
the growth. Weak winds in convergent explosive growth processes,
particularly the process in HPE<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>,</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula> eliminate the likely contributions of
southerly transport pollution. A comparison of surface wind distributions in
the North China Plain before (Fig. 6a, d) and during (Fig. 6b, c, d, e) the convergent explosive growth processes in HPE<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula> shows that the
urban area of Beijing is dominated by northerly winds before the growth,
while is characterized by local air convergence during the processes, which
suggests that the persistent local convergence is conducive to the explosive
growth by causing pollutants to further accumulate locally. The convergent
explosive growth in HPE<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msub></mml:math></inline-formula> with air convergence (Fig. S2) also
confirms the outcome.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <?xmltex \opttitle{Quantification of meteorological contributions to PM${}_{{2.5}}$ cumulative
explosive growth}?><title>Quantification of meteorological contributions to PM<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> cumulative
explosive growth</title>
      <p id="d1e2087">Cooling effects of elevated PM<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels established from TSs worsen
meteorological conditions, which primarily causes cumulative explosive
growth. To approximately quantify this atmospheric feedback on the growth,
PLAM (Parameter Linking Aerosol Pollution and Meteorological<?pagebreak page256?> Elements) was
used, which was derived from the relationship of PM<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> with key
meteorological parameters. The PLAM index, whose details of calculation have
been described in J. Wang et al. (2013) and Wang et al. (2012), primarily reflects the stability of the air mass and the
condensation rate of water vapor on aerosol particles. It has been employed
to identify the contribution of specific meteorological factors to a 10 d
haze–fog event in 2013 (Zhang et al., 2013) and to evaluate the
contribution of meteorological factors to changes in atmospheric composition
and optical properties over Beijing during the 2008 Olympic Games
(Zhang et al., 2009). During cumulative explosive growth
processes, the hourly variation in urban mean PM<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> mass concentration
is in close linear agreement with that of PLAM for Beijing (Fig. 7a–d). The squared correlation coefficients between hourly
PLAM and PM<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> in 2013, 2015 and 2016 are 0.71, 0.69 and 0.71, respectively, exceeding the 0.05 significance level. The mean value of four
coefficients is over 0.70, which suggests that the previously noted feedback of worsening
meteorological conditions on PM explains over 70 % in cumulative explosive
growth of PM<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>. In addition, the squared correlation coefficient between PLAM and PM<inline-formula><mml:math id="M164" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> in 2014 is 0.76, which indicates that enhanced
regional atmospheric stability facilitate convergent explosive growth of
PM<inline-formula><mml:math id="M165" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e2161">We have characterized different stages of 12 HPEs during the WPPs in Beijing and typical explosive growth of PM<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>,
including cumulative and convergent explosive growth. Meteorological causes
for such growth are elucidated, based on observations of vertical
meteorological factors within the BL (Fig. 8). Beijing HPEs can generally be
divided into the TS, whose rising processes is primarily caused by
pollutants transported from the south of Beijing, and the CS, in which stable
atmospheric stratification dominates the cumulative explosive growth of
PM<inline-formula><mml:math id="M167" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>.</p>
      <p id="d1e2182">Polluted and humid airflow from the south of Beijing transports water vapor
and pollutants to Beijing, which primarily causes rising processes and
creates the requisite moisture and pollution accumulation conditions for
CSs. Elevated PM<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> levels established from the TS reduce near-ground
temperature by backscattering shortwave solar radiation. This temperature
reduction very likely results in anomalous inversion, which is enhanced by
the reduced mechanical turbulence that results from less vorticity caused by
the observed weakened vertical shear of horizontal winds in the lower BL during
the later TSs and decreased thermal turbulence with cooling plumes or
thermals of originally warm surface air that result from the decreased
near-ground temperature. Anomalous inversion reduces turbulent diffusion and
decreases the BL height to trap pollutants. The similar suppression of
anomalous inversion to the vertical mixing of water vapor and decreased
saturation water vapor pressure caused by the temperature reduction noted result
in appreciable near-surface moisture accumulation (RH &gt; 80 %).
The accumulated moisture facilitates pollutant accumulation by enhancing
hygroscopic growth and accelerating liquid-phase and heterogeneous
reactions. However, specific reaction mechanisms have not been fully
quantified and require additional investigation, particularly their
contributions to the explosive growth and the maintenance of PM<inline-formula><mml:math id="M169" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
during CSs. Note that the observed southerly weak winds facilitate local
pollutant accumulation by minimizing horizontal pollutant diffusion. The
joint effects of southerly weak winds, near-ground anomalous inversion and
moisture accumulation dominate the cumulative explosive growth of
PM<inline-formula><mml:math id="M170" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>. Nearly 70 % of the growth is attributable to the meteorological feedback noted, based on correlation analysis between PM<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
and the PLAM index during cumulative explosive growth processes. Note that
sporadic local air convergence also causes pollutants to further accumulate.</p>
      <p id="d1e2221">Established as a result of cumulative explosive growth, exceedingly high PM<inline-formula><mml:math id="M172" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>
levels further decrease the near-ground temperature to strengthen the
existing anomalous inversion, which results in additional pollutant
accumulation until the next synoptic process occurs.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e2238">The data that support the findings of this study are available from the
corresponding author upon reasonable request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2241">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-18-247-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-18-247-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e2250">XZ and YW designed the research; XZ, JZ and HC carried out
the analysis of observations. YD provided and analyzed laser radar data.
YZ provided aerosol species data. JW provided PLAM data. JZ wrote
the first draft of the manuscript and XZ revised the manuscript. All authors read and
approved the final version.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e2256">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2262">This research is supported by the National Key Project of MOST
(2016YFC0203306), the Atmospheric Pollution Control of the Prime Minister
Fund (DQGG0104), and the Basic Scientific Research Progress of the Chinese Academy of
Meteorological Sciences (2016Z001).
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Qiang Zhang<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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<abstract-html><p>In January 2013, February 2014, December 2015 and December 2016
to 10 January 2017, 12 persistent heavy aerosol pollution episodes
(HPEs) occurred in Beijing, which received special attention from the public. During the HPEs, the precise
cause of PM<sub>2.5</sub> explosive growth (mass concentration at least doubled in
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PM<sub>2.5</sub> decreases near-ground saturation vapor pressure and increases
relative humidity significantly; the inversion subsequently reduces vertical
turbulent diffusion and boundary-layer height to trap pollutants and
accumulate water vapor. Appreciable near-ground moisture accumulation
(relative humidity&gt;&thinsp;80&thinsp;%) would further enhance aerosol hygroscopic growth and
accelerate liquid-phase and heterogeneous reactions, in which incompletely
quantified chemical mechanisms need more investigation. The positive
meteorological feedback noted on PM<sub>2.5</sub> mass explains over 70&thinsp;% of cumulative
explosive growth.</p></abstract-html>
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