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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ACPD</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACPD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7375</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/acp-2018-1345</article-id>
<title-group>
<article-title>Characterizations and source analysis of atmospheric inorganic ions
at a national background site in the northeastern Qinghai-Tibet
Plateau: insights into the influence of anthropogenic emissions on a
high-altitude area of China</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Han</surname>
<given-names>Bin</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>Jing</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>Zhao</surname>
<given-names>Xueyan</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>Yin</surname>
<given-names>Baohui</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>Xinhua</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>Dou</surname>
<given-names>Xiaoyan</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>Yang</surname>
<given-names>Wen</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>Bai</surname>
<given-names>Zhipeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Qinghai Environmental Monitoring Center, Xining, Qinghai, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>01</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>26</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Bin Han et al.</copyright-statement>
<copyright-year>2019</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/preprints/acp-2018-1345/">This article is available from https://acp.copernicus.org/preprints/acp-2018-1345/</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/preprints/acp-2018-1345/acp-2018-1345.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/preprints/acp-2018-1345/acp-2018-1345.pdf</self-uri>
<abstract>
<p>Atmospheric particulate matter (PM) imposes highly uncertain impacts on both radiative forcing and human health. While ambient PM has been comprehensively characterized in China’s megacities; its composition, source, and characteristics in the Qinghai-Tibet Plateau (QTP) are not yet fully understood. An autumn observational campaign was conducted during the 1&lt;sup&gt;st&lt;/sup&gt;&amp;ndash;15&lt;sup&gt;th&lt;/sup&gt; October 2013 at a national background monitoring station (3295 m a.s.l.) in the QTP. Real time concentrations of inorganic water-soluble ions (WSIs) associated with PM&lt;sub&gt;2.5&lt;/sub&gt; were measured in addition to PM&lt;sub&gt;2.5&lt;/sub&gt; concentrations, gaseous pollutants, and meteorological parameters. SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2&amp;minus;&lt;/sup&gt; was the most abundant WSI (10.00 ± 4.39 μg/m&lt;sup&gt;3&lt;/sup&gt;) followed by NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt; (2.02 ± 0.93 μg/m&lt;sup&gt;3&lt;/sup&gt;), and NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;&amp;minus;&lt;/sup&gt; (1.65 ± 0.71 μg/m&lt;sup&gt;3&lt;/sup&gt;). Observed WSI concentrations were lower as compared to urban sites in eastern China; however, they were higher as compared to other QTP monitoring sites. High sulfate and nitrate oxidation ratios indicated strong secondary formation of both SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2&amp;minus;&lt;/sup&gt; and NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;&amp;minus;&lt;/sup&gt;. Both photochemical and heterogeneous reactions contributed to the formation of particulate SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2&amp;minus;&lt;/sup&gt;, while the conversion of NO&lt;sub&gt;2&lt;/sub&gt; to NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;&amp;minus;&lt;/sup&gt; only occurred via photochemical reactions in the presence of high O&lt;sub&gt;3&lt;/sub&gt; concentrations and strong sunlight. Correlation analysis between WSIs revealed that NH&lt;sub&gt;4&lt;/sub&gt;NO&lt;sub&gt;3&lt;/sub&gt;, (NH&lt;sub&gt;4&lt;/sub&gt;)&lt;sub&gt;2&lt;/sub&gt;SO&lt;sub&gt;4&lt;/sub&gt;, Na&lt;sub&gt;2&lt;/sub&gt;SO&lt;sub&gt;4&lt;/sub&gt;, and K&lt;sub&gt;2&lt;/sub&gt;SO&lt;sub&gt;4&lt;/sub&gt; were the major atmospheric aerosol components. To better understand the potential sources of WSIs in the QTP, a Positive Matrix Factorization receptor model was used. Results showed that salt lake emissions, mixed factor emissions (livestock feces emission, occasional biomass burning, and crustal material), traffic emissions, secondary inorganic aerosols, and residential burning were the major emission sources at the study site.</p>
</abstract>
<counts><page-count count="26"/></counts>
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