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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<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/egusphere-2026-6023</article-id>
<title-group>
<article-title>Multipollutant air-quality improvement and ozone divergence across Chinese cities</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hurynovich</surname>
<given-names>Volha</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>Filonchyk</surname>
<given-names>Mikalai</given-names>
<ext-link>https://orcid.org/0000-0003-3389-9203</ext-link>
</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>Timofeeva</surname>
<given-names>Tatjana</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>Zhou</surname>
<given-names>Liang</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-group><aff id="aff1">
<label>1</label>
<addr-line>Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, Gansu, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Geology and Geography, Francisk Skorina Gomel State University, Gomel 46019, Belarus</addr-line>
</aff>
<pub-date pub-type="epub">
<day>21</day>
<month>10</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>31</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Volha Hurynovich et al.</copyright-statement>
<copyright-year>2026</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://egusphere.copernicus.org/preprints/2026/egusphere-2026-6023/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-6023/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-6023/egusphere-2026-6023.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-6023/egusphere-2026-6023.pdf</self-uri>
<abstract>
<p>Over the past decade, China has achieved substantial reductions in particulate matter and primary gaseous pollutants, while ground-level ozone (O&lt;sub&gt;3&lt;/sub&gt;) has shown a contrasting response. We analysed air-quality changes across 356 Chinese cities during 2015&amp;ndash;2025, with trend and city-level divergence analyses for 331 cities. Annual mean PM&lt;sub&gt;2.5&lt;/sub&gt;, PM&lt;sub&gt;10&lt;/sub&gt;, SO&lt;sub&gt;2&lt;/sub&gt;, NO&lt;sub&gt;2&lt;/sub&gt; and CO concentrations decreased by 40.8%, 35.3%, 70.3%, 36.2% and 45.0%, respectively, whereas O&lt;sub&gt;3&lt;/sub&gt; increased by 10.3% nationally. Positive O&lt;sub&gt;3&lt;/sub&gt; Sen slopes occurred in 76.1% of cities, although only 19.9% were statistically significant. Meteorological standardization across 318 cities reduced the mean early-to-late O3 increase from 7.62 to 3.76&amp;ndash;4.02 &amp;micro;g m&lt;sub&gt;&amp;minus;3&lt;/sub&gt;, indicating a substantial influence of meteorological variability but leaving a persistent positive increase. Satellite observations further showed that warm-season HCHO changes between 2019&amp;ndash;2021 and 2023&amp;ndash;2025 were positively associated with concurrent O&lt;sub&gt;3&lt;/sub&gt; changes (Spearman &amp;rho; = 0.36, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.001), while the association with tropospheric NO&lt;sub&gt;2&lt;/sub&gt; was weaker (&amp;rho; = 0.21, &lt;em&gt;p&lt;/em&gt; &amp;lt; 0.001). The Fenwei Plain showed the largest regional O&lt;sub&gt;3&lt;/sub&gt; increase (+14.3%), and seasonal relationships between O&lt;sub&gt;3&lt;/sub&gt; and other pollutants reversed from positive in spring and summer to negative in winter. A city-level divergence framework further showed that similar reductions in conventional pollutants can be accompanied by markedly different O&lt;sub&gt;3&lt;/sub&gt; responses. These findings demonstrate that reducing particulate and primary gaseous pollution alone does not guarantee lower photochemical pollution and highlight the need for coordinated, city-specific multipollutant control.</p>
</abstract>
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<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42461055</award-id>
<award-id>W2632052</award-id>
<award-id>42571259</award-id>
</award-group>
</funding-group>
</article-meta>
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