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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-2021-579</article-id>
<title-group>
<article-title>Impact of the COVID-19 pandemic on the observed vertical distributions of PM&lt;sub&gt;2.5&lt;/sub&gt;, NO&lt;sub&gt;x&lt;/sub&gt;, and O&lt;sub&gt;3&lt;/sub&gt; from a tower in the Pearl River Delta</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lu</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chan</surname>
<given-names>Pak-Wai</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lan</surname>
<given-names>Zi-Juan</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Wen-Hai</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Hong-Long</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Hai-Chao</given-names>
<ext-link>https://orcid.org/0000-0001-6161-1874</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519082, PR China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Guangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Zhuhai, 519082, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Key Laboratory of Tropical Atmosphere-Ocean System (Sun Yat-sen University), Ministry of Education, Zhuhai, 519082, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Shenzhen National Climate Observatory, Meteorological Bureau of Shenzhen Municipality, Shenzhen, 518040, PR China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Hong Kong Observatory, 999077, Hong Kong</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Shenzhen Research Academy of Environmental Sciences, Shenzhen, 518001, PR China</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Shenzhen Academy of Severe Storms Science, Shenzhen, 518057, PR China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>2021</volume>
<fpage>1</fpage>
<lpage>32</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2021 Lei Li et al.</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/preprints/acp-2021-579/">This article is available from https://acp.copernicus.org/preprints/acp-2021-579/</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/preprints/acp-2021-579/acp-2021-579.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/preprints/acp-2021-579/acp-2021-579.pdf</self-uri>
<abstract>
<p>&lt;p&gt;The outbreak of the 2019 novel coronavirus (COVID-19) has brought tremendous impact and influence on human health and social economy around the world. The lockdown implemented in China, starting on 23 January 2020, led to large reductions in human activities and the associated emissions. Sharp declines in primary pollution provided a unique chance to examine the relationships between anthropogenic emissions and air quality. Here, we report measurements of air pollutants and meteorological parameters at different heights on a tall tower in the Pearl River Delta, China, to investigate the response of the vertical scales of pollutants to reductions in human activities. Compared to the pre-lockdown period (starting from 16 December 2019), the observations showed that surface layer NO&lt;sub&gt;x&lt;/sub&gt;, PM&lt;sub&gt;2.5&lt;/sub&gt; and mean values of the daily maximum 8&amp;thinsp;h average O&lt;sub&gt;3&lt;/sub&gt; (MDA8O&lt;sub&gt;3&lt;/sub&gt;) had significant reductions of 76.8&amp;thinsp;%, 49.4&amp;thinsp;%, and 18.6&amp;thinsp;% respectively, but the average O&lt;sub&gt;3&lt;/sub&gt; increased (9.7&amp;thinsp;%) during lockdown period. The vertical profiles of NO&lt;sub&gt;x&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; changed during the lockdown period, but not those of PM&lt;sub&gt;2.5&lt;/sub&gt;. The correlation between PM&lt;sub&gt;2.5&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; was statistically significant, but not that between PM&lt;sub&gt;2.5&lt;/sub&gt; and NO&lt;sub&gt;x&lt;/sub&gt; for data collected at four different heights during the lockdown period. The significance of these correlations was the opposite during the pre-lockdown period, indicating that the main composition of PM&lt;sub&gt;2.5&lt;/sub&gt; has changed dramatically since the lockdown, which is transited from primary aerosol dominating or nitrate dominating (affected by NO&lt;sub&gt;x&lt;/sub&gt;) before lockdown to secondary organic aerosol dominant dominating (affected by O&lt;sub&gt;3&lt;/sub&gt;) during the lockdown. We find weaker diurnal variation of O&lt;sub&gt;3&lt;/sub&gt; during the lockdown period is similar to the case at background regions. O&lt;sub&gt;3&lt;/sub&gt; concentrations were not sensitive to NO&lt;sub&gt;x&lt;/sub&gt; concentrations during lockdown, which implies that O&lt;sub&gt;3&lt;/sub&gt; levels during the lockdown are more representative of the regional background, for which anthropogenic emissions are low and photochemical formation is not a significant ozone source. This evidence suggests that significant reductions of anthropogenic emissions are effective in simultaneous mitigation of PM&lt;sub&gt;2.5&lt;/sub&gt; and O&lt;sub&gt;3&lt;/sub&gt; levels.&lt;/p&gt;</p>
</abstract>
<counts><page-count count="32"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Science and Technology Planning Project of Guangdong Province</funding-source>
<award-id>2019B121201002</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42075059</award-id>
<award-id>41907185</award-id>
</award-group>
</funding-group>
</article-meta>
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