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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2026-4327</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-5044</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH PAPER</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Air composition in moscow from measurements at iap ras site in 2018–2023</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Berezina</surname><given-names>Elena V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><email xlink:type="simple">e_berezina_83@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Vasileva</surname><given-names>Anastasia V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Gubanova</surname><given-names>Dina P.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Pankratova</surname><given-names>Natalia V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Belikov</surname><given-names>Igor B.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Belousov</surname><given-names>Valery A.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Moiseenko</surname><given-names>Konstantin B.</given-names></name></name-alternatives><bio xml:lang="en"><p>Pyzhevsky lane, 3, Moscow, 119017</p><p>Obraztsova St., 9, Moscow, 127994</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-2"><institution>A. M. Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Russian University of Transport</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>09</day><month>10</month><year>2026</year></pub-date><volume>19</volume><issue>3</issue><fpage>48</fpage><lpage>62</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Berezina E.V., Vasileva A.V., Gubanova D.P., Pankratova N.V., Belikov I.B., Belousov V.A., Moiseenko K.B., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Berezina E.V., Vasileva A.V., Gubanova D.P., Pankratova N.V., Belikov I.B., Belousov V.A., Moiseenko K.B.</copyright-holder><copyright-holder xml:lang="en">Berezina E.V., Vasileva A.V., Gubanova D.P., Pankratova N.V., Belikov I.B., Belousov V.A., Moiseenko K.B.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/5044">https://ges.rgo.ru/jour/article/view/5044</self-uri><abstract><p>The annual and intraseasonal variability of near-ground daytime mixing ratios of gaseous pollutants (O3 , NO, NO2 , CO, and benzene) and aerosols (PM10 and PM2.5 ) measured at the A.M. Obukhov Institute of Atmospheric Physics of the Russian Academy of Sciences observation site in the center of Moscow in 2018–2023 is analyzed. The primary gas species (NO, NO2 , CO, and benzene) and PM2.5 show a unimodal seasonal cycle with a maximum in winter and a minimum in summer months, reflecting a combined influence of extratropical tropospheric features and local meteorology. A distinct summertime ozone maximum provides evidence for the strong input from its photochemical source, which is presumably attributed to the upper part of the urban mixing layer. The relative contribution of Moscow emissions to the observed pollutant levels during the cold (warm) season is estimated to be approximately 56% (42%) for CO and 64% (67%) for NOx, 70% (59%) for PM2.5 , and 78% (77%) for PM10 , with the remaining part beingdue to advection of chemically aged air from upwind pollutant sources on a wide range of spatial scales. The number of synoptic-scale episodes (N) with the enhanced PM2.5 and CO levels decreases exponentially with episode duration (τ, days) as N(τ) ~ e–λ∙τ where the rate of decrease (λ) is 0.66 (0.83) for the cold (warm) season.</p></abstract><kwd-group xml:lang="en"><kwd>urban air quality</kwd><kwd>aerosol pollution</kwd><kwd>atmospheric boundary layer</kwd><kwd>atmospheric blocking</kwd><kwd>gas impurities</kwd></kwd-group><funding-group><funding-statement xml:lang="en">The work was supported by the Russian Science Foundation grant No. 25-17-00060 “Research on mesoscale fluctuations in meteorological fields, impurities, and infrasound signals” (analysis of long-term variability of air composition in Moscow). A study of the November 25–December 7, 2022, blocking event in Moscow was performed within the framework of the state assignment 15.01.2026 № 103-00001-26-00 of the Russian University of Transport.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Aljanabi M., Shkoukani M., Hijjawi M. (2021). Comparison of multiple machine learning algorithms for urban air quality forecasting. Periodicals of Engineering and Natural Sciences, 9(4), 1013-1028.</mixed-citation><mixed-citation xml:lang="en">Aljanabi M., Shkoukani M., Hijjawi M. (2021). Comparison of multiple machine learning algorithms for urban air quality forecasting. 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