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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-12-7041-2012</article-id>
<title-group>
<article-title>Development and uncertainty analysis of a high-resolution NH&lt;sub&gt;3&lt;/sub&gt; emissions inventory and its implications with precipitation over the Pearl River Delta region, China</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zheng</surname>
<given-names>J. Y.</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>Yin</surname>
<given-names>S. S.</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>Kang</surname>
<given-names>D. W.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Che</surname>
<given-names>W. W.</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>Zhong</surname>
<given-names>L. J.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Environmental Science and Engineering, South China University of Technology, University Town, Guangzhou 510006, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Pearl River Delta Atmospheric Environment Research Joint Laboratory, Guangzhou 510006, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Computer Science Corporation, Research Triangle Park, NC 27709, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Guangdong Provincial Environmental Monitoring Center, Guangzhou 510045, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>08</month>
<year>2012</year>
</pub-date>
<volume>12</volume>
<issue>15</issue>
<fpage>7041</fpage>
<lpage>7058</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/12/7041/2012/acp-12-7041-2012.html">This article is available from http://www.atmos-chem-phys.net/12/7041/2012/acp-12-7041-2012.html</self-uri>
<self-uri xlink:href="http://www.atmos-chem-phys.net/12/7041/2012/acp-12-7041-2012.pdf">The full text article is available as a PDF file from http://www.atmos-chem-phys.net/12/7041/2012/acp-12-7041-2012.pdf</self-uri>
<abstract>
<p>Detailed NH&lt;sub&gt;3&lt;/sub&gt; emission inventories are important to
understand various atmospheric processes, air quality modeling studies, air
pollution management, and related environmental and ecological issues. A
high-resolution NH&lt;sub&gt;3&lt;/sub&gt; emission inventory was developed based on
state-of-the-science techniques, up-to-date information, and
advanced expert knowledge for the Pearl River Delta region, China. To
provide model-ready emissions input, this NH&lt;sub&gt;3&lt;/sub&gt; emissions inventory was
spatially allocated to 3 km &amp;times; 3 km grid cells using source-based
spatial surrogates with geographical information system (GIS) technology.
For NH&lt;sub&gt;3&lt;/sub&gt; emissions, 9 source categories and 45 subcategories were
identified in this region, and detailed spatial and temporal characteristics
were investigated. Results show that livestock is by far the most important
NH&lt;sub&gt;3&lt;/sub&gt; emission source by contributing about 61.7% of the total
NH&lt;sub&gt;3&lt;/sub&gt; emissions in this region, followed by nitrogen fertilizer
applications (~23.7%) and non-agricultural sources
(~14.6%). Uncertainty analysis reveals that the
uncertainties associated with different sources vary from source to source
and the magnitude of the uncertainty associated with a specific source
mainly depends on the degree of accuracy of the emission factors and
activity data as well as the technique used to perform the estimate. Further
studies should give priority to the hog, broiler, goose subsectors of the
livestock source and N fertilizer application source in order to reduce
uncertainties of ammonia emission estimates in this region. The validity of
the NH&lt;sub&gt;3&lt;/sub&gt; emissions inventory is justified by the trend analysis of local
precipitation compositions, such as pH values, the
Ca&lt;sup&gt;2+&lt;/sup&gt;+NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;/SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2&amp;minus;&lt;/sup&gt;+ NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;&amp;minus;&lt;/sup&gt; ratios, and
NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt; concentrations which are directly or indirectly related to
NH&lt;sub&gt;3&lt;/sub&gt; emissions.</p>
</abstract>
<counts><page-count count="18"/></counts>
</article-meta>
</front>
<body/>
<back>
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