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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>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus GmbH</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-7-3103-2007</article-id>
<title-group>
<article-title>A modeling analysis of a heavy air pollution episode occurred in Beijing</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>An</surname>
<given-names>X.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhu</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Z.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Joint Laboratory of Environmental Simulation and Pollution Control, Center for Environmental Sciences, Peking University, Beijing 100871, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>LAPC/NZC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>18</day>
<month>06</month>
<year>2007</year>
</pub-date>
<volume>7</volume>
<issue>12</issue>
<fpage>3103</fpage>
<lpage>3114</lpage>
<permissions>
<license xlink:type="simple">
<license-p>This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri xlink:href="http://www.atmos-chem-phys.net/7/3103/2007/acp-7-3103-2007.html">This article is available from http://www.atmos-chem-phys.net/7/3103/2007/acp-7-3103-2007.html</self-uri>
<self-uri xlink:href="http://www.atmos-chem-phys.net/7/3103/2007/acp-7-3103-2007.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys.net/7/3103/2007/acp-7-3103-2007.pdf</self-uri>
<abstract>
<p>The concentrations of fine particulate matter (PM) and ozone in Beijing
often exceed healthful levels in recent years, therefore China is to taking
steps to improve Beijing&apos;s air quality for the 2008 Olympic Games. In this
paper, the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System
was used to investigate a heavy air pollution episode in Beijing during
3&amp;ndash;7 April 2005 to obtain the basic information of how heavy air pollution
formed and the contributions of local sources and surround emissions. The
modeling domain covered from East Asia with four nested grids with 81 to 3 km
horizontal resolution focusing on urban Beijing. This was coupled with a
regional emissions inventory with a 10 km resolution and a local 1 km
Beijing emissions database. The trend of predicted concentrations of various
pollutants agreed reasonably well with the observations and captured the
main features of this heavy pollution episode. The simulated column
concentration distribution of PM was correlated well with the MODIS remote
sensing products. Control runs with and without Beijing emissions were
conducted to quantify the contributions of non-Beijing sources (NBS) to the
Beijing local air pollution. The contributions of NBS to each species
differed spatially and temporally with the order of PM&lt;sub&gt;2.5&lt;/sub&gt;&amp;gt;PM&lt;sub&gt;10&lt;/sub&gt;&amp;gt;SO&lt;sub&gt;2&lt;/sub&gt;&amp;gt; 
soil for this episode. The percentage contribution of NBS
to fine particle (PM&lt;sub&gt;2.5&lt;/sub&gt;) in Beijing was averaged about 39%, up to
53% at the northwest of urban Beijing and only 15% at southwest. The
spatial distribution of NBS contributions for PM&lt;sub&gt;10&lt;/sub&gt; was similar to that
for PM&lt;sub&gt;2.5&lt;/sub&gt;, with a slightly less average percentage of about 30%. The
average NBS contributions for SO&lt;sub&gt;2&lt;/sub&gt; and soil (diameter between 
2.5 μm and 10 μm) were 18% and 10%. In addition, the pollutant
transport flux was calculated and compared at different levels to
investigate transport pathway and magnitude. It was found that the NBS
contribution correlated with the transport flux, contributing 60% of
PM&lt;sub&gt;10&lt;/sub&gt; concentration in Beijing at the time of transport flux peak during
a strong episode with a transport path from southwest to northeast.</p>
</abstract>
<counts><page-count count="12"/></counts>
</article-meta>
</front>
<body/>
<back>
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</article>