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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">10.24057/2071-9388-2025-3925</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-4289</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>Large-Eddy Simulation Of Aerosol Transport Over Different Urban Local Climate Zones</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>Varentsov</surname><given-names>Alexander I.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, b. 4, 119234, Moscow</p><p>Leninskie Gory 1, 119991, Moscow</p><p>Pyzhevskiy Pereulok 3, 119017, Moscow</p><p>Leninskie Gory 1, 119991, Moscow</p></bio><email xlink:type="simple">aivarentsov98@gmail.com</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>Mortikov</surname><given-names>Evgeny V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, b. 4, 119234, Moscow</p><p>Leninskie Gory 1, 119991, Moscow</p><p>Gubkina 8, 119333, Moscow</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Glazunov</surname><given-names>Andrey V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Gubkina 8, 119333, Moscow</p><p>Leninskie Gory 1, b. 4, 119234, Moscow</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Debolskiy</surname><given-names>Andrey V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, b. 4, 119234, Moscow</p><p>Pyzhevskiy Pereulok 3, 119017, Moscow</p><p>Leninskie Gory 1, 119991, Moscow</p></bio><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Kuzmicheva</surname><given-names>Mariya A.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, 119991, Moscow</p></bio><xref ref-type="aff" rid="aff-5"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Stepanenko</surname><given-names>Victor M.</given-names></name></name-alternatives><bio xml:lang="en"><p>Leninskie Gory 1, b. 4, 119234, Moscow</p><p>Leninskie Gory 1, 119991, Moscow</p></bio><xref ref-type="aff" rid="aff-6"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Research Computing Center, Lomonosov Moscow State University; Faculty of Geography, Lomonosov Moscow State University; Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Moscow Center for Fundamental and Applied Mathematics</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-2"><institution>Research Computing Center, Lomonosov Moscow State University; Moscow Center for Fundamental and Applied Mathematics; Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-3"><institution>Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences; Research Computing Center, Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-4"><institution>Research Computing Center, Lomonosov Moscow State University; Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Moscow Center for Fundamental and Applied Mathematics</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-5"><institution>Faculty of Mechanics and Mathematics, Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-6"><institution>Research Computing Center, Lomonosov Moscow State University; Faculty of Geography, Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>06</day><month>10</month><year>2025</year></pub-date><volume>18</volume><issue>3</issue><fpage>68</fpage><lpage>79</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Varentsov A.I., Mortikov E.V., Glazunov A.V., Debolskiy A.V., Kuzmicheva M.A., Stepanenko V.M., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Varentsov A.I., Mortikov E.V., Glazunov A.V., Debolskiy A.V., Kuzmicheva M.A., Stepanenko V.M.</copyright-holder><copyright-holder xml:lang="en">Varentsov A.I., Mortikov E.V., Glazunov A.V., Debolskiy A.V., Kuzmicheva M.A., Stepanenko V.M.</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/4289">https://ges.rgo.ru/jour/article/view/4289</self-uri><abstract><p>As urban areas grow, understanding the impact of built environments on aerosol distribution is crucial for accurate monitoring and forecasting of urban air quality and for the development of mitigation strategies. This study uses Large Eddy Simulation approach combined with Local Climate Zones (LCZ) classification to simulate the transport of Lagrangian aerosol particles in different urban configurations. The study simulates several urban configurations based on LCZ classification, specifically LCZ 4 (open high-rise), LCZ 5 (open mid-rise), and LCZ 6 (open low-rise), varying in building height and density. Both regular and randomized urban development configurations were examined to understand the impact of building geometry on particle dispersion. The study reveals that building orientation significantly influences particle distribution, with structures parallel to the wind adding horizontal dispersion and those perpendicular promoting vertical mixing. In randomized configurations, variations in particle concentrations highlight the role of architectural heterogeneity in turbulence development and aerosol dispersion. The findings suggest that aggregated block- or district-scale building geometry properties strongly influence aerosol transport. For randomized urban configurations, without idealized regular structures, the difference in the large-scale morphometric characteristics of specified LCZ types has a significantly greater impact on the particle dispersion process than the local geometric differences between configurations of the same LCZ type. Future research taking into account diverse meteorological conditions and more LCZ types is recommended to enhance the accuracy and applicability of this approach.</p></abstract><kwd-group xml:lang="en"><kwd>urban air quality</kwd><kwd>large eddy simulation</kwd><kwd>local climate zones</kwd><kwd>aerosol dispersion</kwd><kwd>Lagrangian particle transport</kwd><kwd>urban morphology</kwd></kwd-group><funding-group><funding-statement xml:lang="en">LES model and LCZ generator development was supported by FSTP project «Research in geophysical boundary layers and the development of new modelling approaches for Earth system models» within the program «Improvement of the global world-level Earth system model for research purposes and scenarios forecasting of climate change». Numerical experiments and data analysis were supported by RNF grant 24-17-00155. Stochastic Lagrangian particles model development was supported by the Russian Ministry of Science and Higher Education, agreement No. 075- 15-2025-345. Numerical experiments were carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University and computing resources of the Data Center of the Far Eastern Branch of the Russian Academy of Sciences.</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">Aslam A. and Rana I.A. (2022). The use of local climate zones in the urban environment: A systematic review of data sources, methods, and themes. Urban Climate, 42, 101120. DOI: 10.1016/j.uclim.2022.101120</mixed-citation><mixed-citation xml:lang="en">Aslam A. and Rana I.A. (2022). The use of local climate zones in the urban environment: A systematic review of data sources, methods, and themes. Urban Climate, 42, 101120. DOI: 10.1016/j.uclim.2022.101120</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Baklanov A., Hänninen O., Slørdal L.H., Kukkonen J., Bjergene N., Fay B., Finardi S., Hoe S.C., Jantunen M., Karppinen A., Rasmussen A., Skouloudis A., Sokhi R.S., Sørensen J.H. and Ødegaard V. (2007). Integrated systems for forecasting urban meteorology, air pollution and population exposure. Atmospheric Chemistry and Physics, 7(3), 855–874. DOI: 10.5194/acp-7-855-2007</mixed-citation><mixed-citation xml:lang="en">Baklanov A., Hänninen O., Slørdal L.H., Kukkonen J., Bjergene N., Fay B., Finardi S., Hoe S.C., Jantunen M., Karppinen A., Rasmussen A., Skouloudis A., Sokhi R.S., Sørensen J.H. and Ødegaard V. (2007). Integrated systems for forecasting urban meteorology, air pollution and population exposure. Atmospheric Chemistry and Physics, 7(3), 855–874. DOI: 10.5194/acp-7-855-2007</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Baklanov Alexander and Zhang Y. (2020). Advances in air quality modeling and forecasting. Global Transitions, 2, 261–270. DOI: 10.1016/j.glt.2020.11.001</mixed-citation><mixed-citation xml:lang="en">Baklanov Alexander and Zhang Y. (2020). Advances in air quality modeling and forecasting. Global Transitions, 2, 261–270. DOI: 10.1016/j.glt.2020.11.001</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Berlyand M.E. (1991). Prediction and Regulation of Air Pollution. Springer Netherlands. DOI: 10.1007/978-94-011-3768-3</mixed-citation><mixed-citation xml:lang="en">Berlyand M.E. (1991). Prediction and Regulation of Air Pollution. Springer Netherlands. DOI: 10.1007/978-94-011-3768-3</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Blocken B., Janssen W.D. and van Hooff T. (2012). CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus. Environmental Modelling &amp; Software, 30, 15–34. DOI: 10.1016/j.envsoft.2011.11.009</mixed-citation><mixed-citation xml:lang="en">Blocken B., Janssen W.D. and van Hooff T. (2012). CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus. Environmental Modelling &amp; Software, 30, 15–34. DOI: 10.1016/j.envsoft.2011.11.009</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Blocken Bert. (2015). Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Building and Environment, 91, 219–245. DOI: 10.1016/j.buildenv.2015.02.015</mixed-citation><mixed-citation xml:lang="en">Blocken Bert. (2015). Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Building and Environment, 91, 219–245. DOI: 10.1016/j.buildenv.2015.02.015</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Britter R.E. and Hanna S.R. (2003). Better lowercase: Flow and dispersion in urban areas. Annual Review of Fluid Mechanics, 35(Volume 35, 2003), 469–496. DOI: 10.1146/annurev.fluid.35.101101.161147</mixed-citation><mixed-citation xml:lang="en">Britter R.E. and Hanna S.R. (2003). Better lowercase: Flow and dispersion in urban areas. Annual Review of Fluid Mechanics, 35(Volume 35, 2003), 469–496. DOI: 10.1146/annurev.fluid.35.101101.161147</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Chatzidimitriou A. and Axarli K. (2017). Street Canyon Geometry Effects on Microclimate and Comfort; A Case Study in Thessaloniki. Procedia Environmental Sciences, 38, 643–650. DOI: 10.1016/j.proenv.2017.03.144</mixed-citation><mixed-citation xml:lang="en">Chatzidimitriou A. and Axarli K. (2017). Street Canyon Geometry Effects on Microclimate and Comfort; A Case Study in Thessaloniki. Procedia Environmental Sciences, 38, 643–650. DOI: 10.1016/j.proenv.2017.03.144</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Cohen A.J., Brauer M., Burnett R., Anderson H.R., Frostad J., Estep K., Balakrishnan K., Brunekreef B., Dandona L., Dandona R., Feigin V., Freedman G., Hubbell B., Jobling A., Kan H., Knibbs L., Liu Y., Martin R., Morawska L., … Forouzanfar M.H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. The Lancet, 389(10082), 1907–1918. DOI: 10.1016/S0140-6736(17)30505-6</mixed-citation><mixed-citation xml:lang="en">Cohen A.J., Brauer M., Burnett R., Anderson H.R., Frostad J., Estep K., Balakrishnan K., Brunekreef B., Dandona L., Dandona R., Feigin V., Freedman G., Hubbell B., Jobling A., Kan H., Knibbs L., Liu Y., Martin R., Morawska L., … Forouzanfar M.H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. The Lancet, 389(10082), 1907–1918. DOI: 10.1016/S0140-6736(17)30505-6</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Debolskiy A.V., Mortikov E.V., Glazunov A.V. and Lüpkes C. (2023). Evaluation of Surface Layer Stability Functions and Their Extension to First Order Turbulent Closures for Weakly and Strongly Stratified Stable Boundary Layer. Boundary-Layer Meteorology, 187(1–2), 73–93. DOI: 10.1007/s10546-023-00784-3</mixed-citation><mixed-citation xml:lang="en">Debolskiy A.V., Mortikov E.V., Glazunov A.V. and Lüpkes C. (2023). Evaluation of Surface Layer Stability Functions and Their Extension to First Order Turbulent Closures for Weakly and Strongly Stratified Stable Boundary Layer. Boundary-Layer Meteorology, 187(1–2), 73–93. DOI: 10.1007/s10546-023-00784-3</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Demuzere M., Kittner J., Martilli A., Mills G., Moede C., Stewart I.D., Van Vliet J. and Bechtel B. (2022). A global map of local climate zones to support earth system modelling and urban-scale environmental science. Earth System Science Data, 14(8), 3835–3873. DOI: 10.5194/essd-14-3835-2022</mixed-citation><mixed-citation xml:lang="en">Demuzere M., Kittner J., Martilli A., Mills G., Moede C., Stewart I.D., Van Vliet J. and Bechtel B. (2022). A global map of local climate zones to support earth system modelling and urban-scale environmental science. Earth System Science Data, 14(8), 3835–3873. DOI: 10.5194/essd-14-3835-2022</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Engel B. (2022). The Concept of the Socialist City. International Planning History Society Proceedings, 663-678 Pages. DOI: 10.7480/IPHS.2022.1.6516</mixed-citation><mixed-citation xml:lang="en">Engel B. (2022). The Concept of the Socialist City. International Planning History Society Proceedings, 663-678 Pages. DOI: 10.7480/IPHS.2022.1.6516</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Germano M., Piomelli U., Moin P. and Cabot W.H. (1991). A dynamic subgrid-scale eddy viscosity model. Physics of Fluids A: Fluid Dynamics, 3(7), 1760–1765. DOI: 10.1063/1.857955</mixed-citation><mixed-citation xml:lang="en">Germano M., Piomelli U., Moin P. and Cabot W.H. (1991). A dynamic subgrid-scale eddy viscosity model. Physics of Fluids A: Fluid Dynamics, 3(7), 1760–1765. DOI: 10.1063/1.857955</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Glazunov A.V. (2018). Numerical simulation of turbulence and transport of fine particulate impurities in street canyons. Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie), 1(55), 17–37. DOI: 10.26089/NumMet.v19r103</mixed-citation><mixed-citation xml:lang="en">Glazunov A.V. (2018). Numerical simulation of turbulence and transport of fine particulate impurities in street canyons. Numerical Methods and Programming (Vychislitel’nye Metody i Programmirovanie), 1(55), 17–37. DOI: 10.26089/NumMet.v19r103</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Grylls T., Le Cornec C.M.A., Salizzoni P., Soulhac L., Stettler M.E.J. and Van Reeuwijk M. (2019). Evaluation of an operational air quality model using large-eddy simulation. Atmospheric Environment: X, 3, 100041. DOI: 10.1016/j.aeaoa.2019.100041</mixed-citation><mixed-citation xml:lang="en">Grylls T., Le Cornec C.M.A., Salizzoni P., Soulhac L., Stettler M.E.J. and Van Reeuwijk M. (2019). Evaluation of an operational air quality model using large-eddy simulation. Atmospheric Environment: X, 3, 100041. DOI: 10.1016/j.aeaoa.2019.100041</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Holmes N.S. and Morawska L. (2006). A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available. Atmospheric Environment, 40(30), 5902–5928. DOI: 10.1016/j.atmosenv.2006.06.003</mixed-citation><mixed-citation xml:lang="en">Holmes N.S. and Morawska L. (2006). A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available. Atmospheric Environment, 40(30), 5902–5928. DOI: 10.1016/j.atmosenv.2006.06.003</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang R., Xie C., Man Z., Afshari A. and Che S. (2023). LCZ method is more effective than traditional LUCC method in interpreting the relationship between urban landscape and atmospheric particles. Science of The Total Environment, 869, 161677. DOI: 10.1016/j.scitotenv.2023.161677</mixed-citation><mixed-citation xml:lang="en">Jiang R., Xie C., Man Z., Afshari A. and Che S. (2023). LCZ method is more effective than traditional LUCC method in interpreting the relationship between urban landscape and atmospheric particles. Science of The Total Environment, 869, 161677. DOI: 10.1016/j.scitotenv.2023.161677</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kadantsev E., Mortikov E. and Zilitinkevich S. (2021). The resistance law for stably stratified atmospheric planetary boundary layers. Quarterly Journal of the Royal Meteorological Society, 147(737), 2233–2243. DOI: 10.1002/qj.4019</mixed-citation><mixed-citation xml:lang="en">Kadantsev E., Mortikov E. and Zilitinkevich S. (2021). The resistance law for stably stratified atmospheric planetary boundary layers. Quarterly Journal of the Royal Meteorological Society, 147(737), 2233–2243. DOI: 10.1002/qj.4019</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Kadaverugu R., Sharma A., Matli C. and Biniwale R. (2019). High Resolution Urban Air Quality Modeling by Coupling CFD and Mesoscale Models: a Review. Asia-Pacific Journal of Atmospheric Sciences, 55(4), 539–556. DOI: 10.1007/s13143-019-00110-3</mixed-citation><mixed-citation xml:lang="en">Kadaverugu R., Sharma A., Matli C. and Biniwale R. (2019). High Resolution Urban Air Quality Modeling by Coupling CFD and Mesoscale Models: a Review. Asia-Pacific Journal of Atmospheric Sciences, 55(4), 539–556. DOI: 10.1007/s13143-019-00110-3</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Kampa M. and Castanas E. (2008). Human health effects of air pollution. Environmental Pollution, 151(2), 362–367. DOI: 10.1016/j.envpol.2007.06.012</mixed-citation><mixed-citation xml:lang="en">Kampa M. and Castanas E. (2008). Human health effects of air pollution. Environmental Pollution, 151(2), 362–367. DOI: 10.1016/j.envpol.2007.06.012</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Kasimov N., Chalov S., Chubarova N., Kosheleva N., Popovicheva O., Shartova N., Stepanenko V., Androsova E., Chichaeva M., Erina O., Kirsanov A., Kovach R., Revich B., Shinkareva G., Tereshina M., Varentsov M., Vasil’chuk J., Vlasov D., Denisova I. and Minkina T. (2024). Urban heat and pollution island in the Moscow megacity: Urban environmental compartments and their interactions. Urban Climate, 55, 101972. DOI: 10.1016/j.uclim.2024.101972</mixed-citation><mixed-citation xml:lang="en">Kasimov N., Chalov S., Chubarova N., Kosheleva N., Popovicheva O., Shartova N., Stepanenko V., Androsova E., Chichaeva M., Erina O., Kirsanov A., Kovach R., Revich B., Shinkareva G., Tereshina M., Varentsov M., Vasil’chuk J., Vlasov D., Denisova I. and Minkina T. (2024). Urban heat and pollution island in the Moscow megacity: Urban environmental compartments and their interactions. Urban Climate, 55, 101972. DOI: 10.1016/j.uclim.2024.101972</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Kosheleva N.E., Vlasov D.V., Korlyakov I.D. and Kasimov N.S. (2018). Сontamination of urban soils with heavy metals in Moscow as affected by building development. Science of The Total Environment, 636, 854–863. DOI: 10.1016/j.scitotenv.2018.04.308</mixed-citation><mixed-citation xml:lang="en">Kosheleva N.E., Vlasov D.V., Korlyakov I.D. and Kasimov N.S. (2018). Сontamination of urban soils with heavy metals in Moscow as affected by building development. Science of The Total Environment, 636, 854–863. DOI: 10.1016/j.scitotenv.2018.04.308</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Kurppa M., Hellsten A., Auvinen M., Raasch S., Vesala T. and Järvi L. (2018). Ventilation and Air Quality in City Blocks Using Large-Eddy Simulation—Urban Planning Perspective. Atmosphere, 9(2), 65. DOI: 10.3390/atmos9020065</mixed-citation><mixed-citation xml:lang="en">Kurppa M., Hellsten A., Auvinen M., Raasch S., Vesala T. and Järvi L. (2018). Ventilation and Air Quality in City Blocks Using Large-Eddy Simulation—Urban Planning Perspective. Atmosphere, 9(2), 65. DOI: 10.3390/atmos9020065</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Lee H. and Mayer H. (2018). Thermal comfort of pedestrians in an urban street canyon is affected by increasing albedo of building walls. International Journal of Biometeorology, 62(7), 1199–1209. DOI: 10.1007/s00484-018-1523-5</mixed-citation><mixed-citation xml:lang="en">Lee H. and Mayer H. (2018). Thermal comfort of pedestrians in an urban street canyon is affected by increasing albedo of building walls. International Journal of Biometeorology, 62(7), 1199–1209. DOI: 10.1007/s00484-018-1523-5</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Lin Y., An X., Yuan J., Yuan J. and Chen B. (2024). The impact of the urban landscape on PM2.5 from LCZ perspective: A case study of Shenyang. Urban Climate, 57, 102107. DOI: 10.1016/j.uclim.2024.102107</mixed-citation><mixed-citation xml:lang="en">Lin Y., An X., Yuan J., Yuan J. and Chen B. (2024). The impact of the urban landscape on PM2.5 from LCZ perspective: A case study of Shenyang. Urban Climate, 57, 102107. DOI: 10.1016/j.uclim.2024.102107</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Mortikov E.V., Glazunov A.V. and Lykosov V.N. (2019). Numerical study of plane Couette flow: turbulence statistics and the structure of pressure–strain correlations. Russian Journal of Numerical Analysis and Mathematical Modelling, 34(2), 119–132. DOI: 10.1515/rnam-2019-0010</mixed-citation><mixed-citation xml:lang="en">Mortikov E.V., Glazunov A.V. and Lykosov V.N. (2019). Numerical study of plane Couette flow: turbulence statistics and the structure of pressure–strain correlations. Russian Journal of Numerical Analysis and Mathematical Modelling, 34(2), 119–132. DOI: 10.1515/rnam-2019-0010</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Nourani S., Villalobos A.M. and Jorquera H. (2024). Indoor and outdoor PM2.5 in schools of Santiago, Chile: influence of local climate zone (LCZ) environment. Air Quality, Atmosphere &amp; Health. DOI: 10.1007/s11869-024-01687-z</mixed-citation><mixed-citation xml:lang="en">Nourani S., Villalobos A.M. and Jorquera H. (2024). Indoor and outdoor PM2.5 in schools of Santiago, Chile: influence of local climate zone (LCZ) environment. Air Quality, Atmosphere &amp; Health. DOI: 10.1007/s11869-024-01687-z</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Oke T.R., Mills G., Christen A. and Voogt J.A. (2017). Urban Climates, 1st ed. Cambridge University Press. DOI: 10.1017/9781139016476</mixed-citation><mixed-citation xml:lang="en">Oke T.R., Mills G., Christen A. and Voogt J.A. (2017). Urban Climates, 1st ed. Cambridge University Press. DOI: 10.1017/9781139016476</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Pope III C.A. and Dockery D.W. (2006). Health Effects of Fine Particulate Air Pollution: Lines that Connect. Journal of the Air &amp; Waste Management Association, 56(6), 709–742. DOI: 10.1080/10473289.2006.10464485</mixed-citation><mixed-citation xml:lang="en">Pope III C.A. and Dockery D.W. (2006). Health Effects of Fine Particulate Air Pollution: Lines that Connect. Journal of the Air &amp; Waste Management Association, 56(6), 709–742. DOI: 10.1080/10473289.2006.10464485</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Reynolds A.M. and Cohen J.E. (2002). Stochastic simulation of heavy-particle trajectories in turbulent flows. Physics of Fluids, 14(1), 342–351. DOI: 10.1063/1.1426392</mixed-citation><mixed-citation xml:lang="en">Reynolds A.M. and Cohen J.E. (2002). Stochastic simulation of heavy-particle trajectories in turbulent flows. Physics of Fluids, 14(1), 342–351. DOI: 10.1063/1.1426392</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Shi Y., Ren C., Lau K.K.-L. and Ng E. (2019). Investigating the influence of urban land use and landscape pattern on PM2.5 spatial variation using mobile monitoring and WUDAPT. Landscape and Urban Planning, 189, 15–26. DOI: 10.1016/j.landurbplan.2019.04.004</mixed-citation><mixed-citation xml:lang="en">Shi Y., Ren C., Lau K.K.-L. and Ng E. (2019). Investigating the influence of urban land use and landscape pattern on PM2.5 spatial variation using mobile monitoring and WUDAPT. Landscape and Urban Planning, 189, 15–26. DOI: 10.1016/j.landurbplan.2019.04.004</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Starchenko A.V., Danilkin E.A. and Leschinsky D.V. (2023). Numerical Simulation of the Distribution of Vehicle Emissions in a Street Canyon. Mathematical Models and Computer Simulations, 15(3), 427–435. DOI: 10.1134/S207004822303016X</mixed-citation><mixed-citation xml:lang="en">Starchenko A.V., Danilkin E.A. and Leschinsky D.V. (2023). Numerical Simulation of the Distribution of Vehicle Emissions in a Street Canyon. Mathematical Models and Computer Simulations, 15(3), 427–435. DOI: 10.1134/S207004822303016X</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Stewart I.D. and Oke T.R. (2012). Local Climate Zones for Urban Temperature Studies. DOI: 10.1175/BAMS-D-11-00019.1</mixed-citation><mixed-citation xml:lang="en">Stewart I.D. and Oke T.R. (2012). Local Climate Zones for Urban Temperature Studies. DOI: 10.1175/BAMS-D-11-00019.1</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Suiazova V.I., Debolskiy A.V. and Mortikov E.V. (2024). Study of Surface Layer Characteristics in the Presence of Suspended Snow Particles Using Observational Data and Large Eddy Simulation. Izvestiya, Atmospheric and Oceanic Physics, 60(2), 158–167. DOI: 10.1134/S000143382470021X</mixed-citation><mixed-citation xml:lang="en">Suiazova V.I., Debolskiy A.V. and Mortikov E.V. (2024). Study of Surface Layer Characteristics in the Presence of Suspended Snow Particles Using Observational Data and Large Eddy Simulation. Izvestiya, Atmospheric and Oceanic Physics, 60(2), 158–167. DOI: 10.1134/S000143382470021X</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Sützl B.S., Rooney G.G. and Van Reeuwijk M. (2021). Drag Distribution in Idealized Heterogeneous Urban Environments. Boundary-Layer Meteorology, 178(2), 225–248. DOI: 10.1007/s10546-020-00567-0</mixed-citation><mixed-citation xml:lang="en">Sützl B.S., Rooney G.G. and Van Reeuwijk M. (2021). Drag Distribution in Idealized Heterogeneous Urban Environments. Boundary-Layer Meteorology, 178(2), 225–248. DOI: 10.1007/s10546-020-00567-0</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Tarasova M.A., Debolskiy A.V., Mortikov E.V., Varentsov M.I., Glazunov A.V. and Stepanenko V.M. (2024). On the Parameterization of the Mean Wind Profile for Urban Canopy Models. Lobachevskii Journal of Mathematics, 45(7), 3198–3210. DOI: 10.1134/S1995080224603801</mixed-citation><mixed-citation xml:lang="en">Tarasova M.A., Debolskiy A.V., Mortikov E.V., Varentsov M.I., Glazunov A.V. and Stepanenko V.M. (2024). On the Parameterization of the Mean Wind Profile for Urban Canopy Models. Lobachevskii Journal of Mathematics, 45(7), 3198–3210. DOI: 10.1134/S1995080224603801</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Thomson D.J. and Wilson J.D. (2012). History of Lagrangian Stochastic Models for Turbulent Dispersion. In: J. Lin, D. Brunner, C. Gerbig, A. Stohl, A. Luhar, and P. Webley eds., Lagrangian Modeling of the Atmosphere, 19–36. American Geophysical Union. DOI: 10.1029/2012GM001238</mixed-citation><mixed-citation xml:lang="en">Thomson D.J. and Wilson J.D. (2012). History of Lagrangian Stochastic Models for Turbulent Dispersion. In: J. Lin, D. Brunner, C. Gerbig, A. Stohl, A. Luhar, and P. Webley eds., Lagrangian Modeling of the Atmosphere, 19–36. American Geophysical Union. DOI: 10.1029/2012GM001238</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Tkachenko E.V., Debolskiy A.V., Mortikov E.V. and Glazunov A.V. (2022). Large-Eddy Simulation and Parameterization of Decaying Turbulence in the Evening Transition of the Atmospheric Boundary Layer. Izvestiya, Atmospheric and Oceanic Physics, 58(3), 219–236. DOI: 10.1134/S0001433822030112</mixed-citation><mixed-citation xml:lang="en">Tkachenko E.V., Debolskiy A.V., Mortikov E.V. and Glazunov A.V. (2022). Large-Eddy Simulation and Parameterization of Decaying Turbulence in the Evening Transition of the Atmospheric Boundary Layer. Izvestiya, Atmospheric and Oceanic Physics, 58(3), 219–236. DOI: 10.1134/S0001433822030112</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Varentsov A.I., Imeev O.A., Glazunov A.V., Mortikov E.V. and Stepanenko V.M. (2023). Numerical Simulation of Particulate Matter Transport in the Atmospheric Urban Boundary Layer Using the Lagrangian Approach: Physical Problems and Parallel Implementation. Programming and Computer Software, 49(8), 894–905. DOI: 10.1134/S0361768823080248</mixed-citation><mixed-citation xml:lang="en">Varentsov A.I., Imeev O.A., Glazunov A.V., Mortikov E.V. and Stepanenko V.M. (2023). Numerical Simulation of Particulate Matter Transport in the Atmospheric Urban Boundary Layer Using the Lagrangian Approach: Physical Problems and Parallel Implementation. Programming and Computer Software, 49(8), 894–905. DOI: 10.1134/S0361768823080248</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Varentsov A.I., Stepanenko V.M., Mortikov E.V. and Konstantinov P.I. (2020). Numerical simulation of particle transport in the urban boundary layer with implications for SARS-CoV-2 virion distribution. IOP Conference Series: Earth and Environmental Science, 611(1), 012017. DOI: 10.1088/1755-1315/611/1/012017</mixed-citation><mixed-citation xml:lang="en">Varentsov A.I., Stepanenko V.M., Mortikov E.V. and Konstantinov P.I. (2020). Numerical simulation of particle transport in the urban boundary layer with implications for SARS-CoV-2 virion distribution. IOP Conference Series: Earth and Environmental Science, 611(1), 012017. DOI: 10.1088/1755-1315/611/1/012017</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Varentsov M., Konstantinov P., Repina I., Artamonov A., Pechkin A., Soromotin A., Esau I. and Baklanov A. (2023). Observations of the urban boundary layer in a cold climate city. Urban Climate, 47, 101351. DOI: 10.1016/j.uclim.2022.101351</mixed-citation><mixed-citation xml:lang="en">Varentsov M., Konstantinov P., Repina I., Artamonov A., Pechkin A., Soromotin A., Esau I. and Baklanov A. (2023). Observations of the urban boundary layer in a cold climate city. Urban Climate, 47, 101351. DOI: 10.1016/j.uclim.2022.101351</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Varentsov M., Samsonov T. and Demuzere M. (2020). Impact of Urban Canopy Parameters on a Megacity’s Modelled Thermal Environment. Atmosphere, 11(12), 1349. DOI: 10.3390/atmos11121349</mixed-citation><mixed-citation xml:lang="en">Varentsov M., Samsonov T. and Demuzere M. (2020). Impact of Urban Canopy Parameters on a Megacity’s Modelled Thermal Environment. Atmosphere, 11(12), 1349. DOI: 10.3390/atmos11121349</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Venter Z.S., Hassani A., Stange E., Schneider P. and Castell N. (2024). Reassessing the role of urban green space in air pollution control. Proceedings of the National Academy of Sciences, 121(6), e2306200121. DOI: 10.1073/pnas.2306200121</mixed-citation><mixed-citation xml:lang="en">Venter Z.S., Hassani A., Stange E., Schneider P. and Castell N. (2024). Reassessing the role of urban green space in air pollution control. Proceedings of the National Academy of Sciences, 121(6), e2306200121. DOI: 10.1073/pnas.2306200121</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Wu B. and Liu C. (2023). Impacts of Building Environment and Urban Green Space Features on Urban Air Quality: Focusing on Interaction Effects and Nonlinearity. Buildings, 13(12), 3111. DOI: 10.3390/buildings13123111</mixed-citation><mixed-citation xml:lang="en">Wu B. and Liu C. (2023). Impacts of Building Environment and Urban Green Space Features on Urban Air Quality: Focusing on Interaction Effects and Nonlinearity. Buildings, 13(12), 3111. DOI: 10.3390/buildings13123111</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Y., Ye X., Wang S., He X., Dong L., Zhang N., Wang H., Wang Z., Ma Y., Wang L., Chi X., Ding A., Yao M., Li Y., Li Q., Zhang L. and Xiao Y. (2021). Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors. Atmospheric Chemistry and Physics, 21(4), 2917–2929. DOI: 10.5194/acp-21-2917-2021</mixed-citation><mixed-citation xml:lang="en">Zhang Y., Ye X., Wang S., He X., Dong L., Zhang N., Wang H., Wang Z., Ma Y., Wang L., Chi X., Ding A., Yao M., Li Y., Li Q., Zhang L. and Xiao Y. (2021). Large-eddy simulation of traffic-related air pollution at a very high resolution in a mega-city: evaluation against mobile sensors and insights for influencing factors. Atmospheric Chemistry and Physics, 21(4), 2917–2929. DOI: 10.5194/acp-21-2917-2021</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng X. and Yang J. (2021). CFD simulations of wind flow and pollutant dispersion in a street canyon with traffic flow: Comparison between RANS and LES. Sustainable Cities and Society, 75, 103307. DOI: 10.1016/j.scs.2021.103307</mixed-citation><mixed-citation xml:lang="en">Zheng X. and Yang J. (2021). CFD simulations of wind flow and pollutant dispersion in a street canyon with traffic flow: Comparison between RANS and LES. Sustainable Cities and Society, 75, 103307. DOI: 10.1016/j.scs.2021.103307</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou S., Wang Y., Jia W., Wang M., Wu Y., Qiao R. and Wu Z. (2023). Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network. Building and Environment, 245, 110855. DOI: 10.1016/j.buildenv.2023.110855</mixed-citation><mixed-citation xml:lang="en">Zhou S., Wang Y., Jia W., Wang M., Wu Y., Qiao R. and Wu Z. (2023). Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network. Building and Environment, 245, 110855. DOI: 10.1016/j.buildenv.2023.110855</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Zwozdziak A., Gini M.I., Samek L., Rogula-Kozlowska W., Sowka I. and Eleftheriadis K. (2017). Implications of the aerosol size distribution modal structure of trace and major elements on human exposure, inhaled dose and relevance to the PM2.5 and PM10 metrics in a European pollution hotspot urban area. Journal of Aerosol Science, 103, 38–52. DOI: 10.1016/j.jaerosci.2016.10.004</mixed-citation><mixed-citation xml:lang="en">Zwozdziak A., Gini M.I., Samek L., Rogula-Kozlowska W., Sowka I. and Eleftheriadis K. (2017). Implications of the aerosol size distribution modal structure of trace and major elements on human exposure, inhaled dose and relevance to the PM2.5 and PM10 metrics in a European pollution hotspot urban area. Journal of Aerosol Science, 103, 38–52. DOI: 10.1016/j.jaerosci.2016.10.004</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
