<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">10.24057/2071-9388-2020-42</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-2059</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>The Temporal And Spatial Changes Of Beijing’s Pm 2.5 Concentration And Its Relationship With Meteorological Factors From 2015 To 2020</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>Peng</surname><given-names>Guo</given-names></name></name-alternatives><bio xml:lang="en"><p>Department of Soil</p></bio><email xlink:type="simple">956095891@qq.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>Umarova</surname><given-names>A. B.</given-names></name></name-alternatives><bio xml:lang="en"><p>Department of Soil</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>Bykova</surname><given-names>G. S.</given-names></name></name-alternatives><bio xml:lang="en"><p>Department of Soil</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Moscow State University</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>04</day><month>10</month><year>2021</year></pub-date><volume>14</volume><issue>3</issue><fpage>73</fpage><lpage>81</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Peng G., Umarova A.B., Bykova G.S., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Peng G., Umarova A.B., Bykova G.S.</copyright-holder><copyright-holder xml:lang="en">Peng G., Umarova A.B., Bykova G.S.</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/2059">https://ges.rgo.ru/jour/article/view/2059</self-uri><abstract><p>Currently, Beijing is facing increasing serious air quality problems. Atmospheric pollutants in Beijing are mainly composed of particulate matter, which is a key factor leading to adverse effects on human health. This paper uses hourly data from 36 environmental monitoring stations in Beijing from 2015 to 2020 to obtain the temporal and spatial distribution of the mass concentration of particulate matter with a diameter smaller than 2.5 μm (PM2.5). The 36 stations established by the Ministry of Ecology and Environment and the Beijing Environmental Protection Monitoring Center and obtain continuous real-time monitoring of particulate matter. And the 36 stations are divided into 13 main urban environmental assessment points, 11 suburban assessment points, 1 control point, 6 district assessment points, and 5 traffic pollution monitoring points. The annual average concentration of PM2.5 in Beijing was 60 μg/m3 with a negative trend of approximately 14% year-1. In urban areas the annual average concentration of PM2.5 was 59 μg/m3, in suburbs 56 μg/m3, in traffic areas 63 μg/m3, and in district areas 62 μg/m3. From 2015 to 2020, in urban areas PM2.5 decreased by 14% year-1, in suburbs by 15% year -1, in traffic areas by 15% year-1, and in district areas by 12% year-1. The quarterly average concentrations of PM2.5 in winter andspring are higher than those in summer and autumn (64 μg/m3, 59 μg/m3, 45 μg/m3, 55 μg/m3, respectively). The influenceof meteorological factors on the daily average value of PM2.5 in each season was analysed. The daily average PM2.5 in spring, summer, autumn and winter is significantly negatively correlated with daily average wind speed, sunshine hours, and air pressure, and significantly positively correlated with daily average rainfall and relative humidity. Except for autumn, the daily average PM2.5 is positively correlated with temperature. Although Beijing’s PM2.5 has been declining since the adoption of the‘Air Pollution Prevention and Control Action Plan’, it is still far from the first level of the new ‘Ambient Air Quality Standard’(GB309S-2012) formulated by China in 2012.</p></abstract><kwd-group xml:lang="en"><kwd>PM2.5</kwd><kwd>Beijing</kwd><kwd>temporal and spatial changes</kwd><kwd>meteorological factors</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Silver B., Reddington C.L., Arnold S.R. and Spracklen D.V. (2018). Substantial changes in air pollution across China during 2015-2017. Environmental Research Letters. 13, 11.</mixed-citation><mixed-citation xml:lang="en">Silver B., Reddington C.L., Arnold S.R. and Spracklen D.V. (2018). Substantial changes in air pollution across China during 2015-2017. Environmental Research Letters. 13, 11.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Baedecker P.A., Reddy M.M., Reimann K.J., et al. (1992). Effects of acidic deposition on the erosion of carbonate stone-experimental results from the US National Acid Precipitation Assessment Program (NAPAP). Atmospheric Environment. Part B. 26(2), 147-158.</mixed-citation><mixed-citation xml:lang="en">Baedecker P.A., Reddy M.M., Reimann K.J., et al. (1992). Effects of acidic deposition on the erosion of carbonate stone-experimental results from the US National Acid Precipitation Assessment Program (NAPAP). Atmospheric Environment. Part B. 26(2), 147-158.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Li C.C., Mao J.T., Liu Q.H. et al. (2005). Application of MODIS satellite remote sensing aerosol products in Beijing air pollution research. Science in China. (S1), 177-186. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Li C.C., Mao J.T., Liu Q.H. et al. (2005). Application of MODIS satellite remote sensing aerosol products in Beijing air pollution research. Science in China. (S1), 177-186. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Chen T., He J., Lu X., She J. &amp; Guan Z. (2016). Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China. International journal of environmental research and public health. 13.</mixed-citation><mixed-citation xml:lang="en">Chen T., He J., Lu X., She J. &amp; Guan Z. (2016). Spatial and Temporal Variations of PM2.5 and Its Relation to Meteorological Factors in the Urban Area of Nanjing, China. International journal of environmental research and public health. 13.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Cheng N. et al. (2018). Ground-Level NO2 in Urban Beijing: Trends, Distribution, and Effects of Emission Reduction Measures. Aerosol and Air Quality Research. 18, 343-356.</mixed-citation><mixed-citation xml:lang="en">Cheng N. et al. (2018). Ground-Level NO2 in Urban Beijing: Trends, Distribution, and Effects of Emission Reduction Measures. Aerosol and Air Quality Research. 18, 343-356.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Chestnut L.G, Dennis R.L. (1997). Economic benefits of improvements in visibility: Acid rain provisions of the 1990 Clean Air Act Amendments. Journal of the Air&amp;Waste Management Association. 47(3), 395-402.</mixed-citation><mixed-citation xml:lang="en">Chestnut L.G, Dennis R.L. (1997). Economic benefits of improvements in visibility: Acid rain provisions of the 1990 Clean Air Act Amendments. Journal of the Air&amp;Waste Management Association. 47(3), 395-402.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Franke R. (1982). Smooth Interpolation of Scattered Data by Local Thin Plate Splines. Computer and Mathematics with Applications, 8(4), 273-281.</mixed-citation><mixed-citation xml:lang="en">Franke R. (1982). Smooth Interpolation of Scattered Data by Local Thin Plate Splines. Computer and Mathematics with Applications, 8(4), 273-281.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Yang M., He K.B., Ma Y.L., et al. (2002). The variation characteristics of Beijing PM2.5 concentration and its relationship with PM10, TSP China Environmental Science. 22(6), 27-31. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Yang M., He K.B., Ma Y.L., et al. (2002). The variation characteristics of Beijing PM2.5 concentration and its relationship with PM10, TSP China Environmental Science. 22(6), 27-31. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Wang G., Cheng S., Wei W., Yang X., Wang X., Jia J., Lang J., Lv Z. (2017). Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade. Sci. Total Environ, 595, 81-92.</mixed-citation><mixed-citation xml:lang="en">Wang G., Cheng S., Wei W., Yang X., Wang X., Jia J., Lang J., Lv Z. (2017). Characteristics and emission-reduction measures evaluation of PM2.5 during the two major events: APEC and Parade. Sci. Total Environ, 595, 81-92.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Chih-DaWuab Yu-Ting Zengab Shih-Chun Candice Lung. A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability Science of The Total Environment, 645(15) December 2018, 1456-1464, DOI: 10.1016/j.scitotenv.2018.07.073.</mixed-citation><mixed-citation xml:lang="en">Chih-DaWuab Yu-Ting Zengab Shih-Chun Candice Lung. A hybrid kriging/land-use regression model to assess PM2.5 spatial-temporal variability Science of The Total Environment, 645(15) December 2018, 1456-1464, DOI: 10.1016/j.scitotenv.2018.07.073.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Guo H. et al. (2017). Assessment of PM2.5 concentrations and exposure throughout China using ground observations. The Science of the total environment. 601-602, 1024-1030.</mixed-citation><mixed-citation xml:lang="en">Guo H. et al. (2017). Assessment of PM2.5 concentrations and exposure throughout China using ground observations. The Science of the total environment. 601-602, 1024-1030.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Guo P., Umarova A.B., Luan Y. (2020). The spatiotemporal characteristics of the air pollutants in China from 2015 to 2019. PLOS ONE 15(8): e0227469, DOI: 10.1371/journal.pone.0227469.</mixed-citation><mixed-citation xml:lang="en">Guo P., Umarova A.B., Luan Y. (2020). The spatiotemporal characteristics of the air pollutants in China from 2015 to 2019. PLOS ONE 15(8): e0227469, DOI: 10.1371/journal.pone.0227469.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Li H., Zhang Q., Duan F., Zheng B., He K. (2016). The «Parade Blue»: effects of short-term emission control on aerosol chemistry. Faraday Discuss, 189, 317-335.</mixed-citation><mixed-citation xml:lang="en">Li H., Zhang Q., Duan F., Zheng B., He K. (2016). The «Parade Blue»: effects of short-term emission control on aerosol chemistry. Faraday Discuss, 189, 317-335.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Lin H., Liu T., Fang F., Xiao J., Zeng W., Li X., Guo L., Tian L., Schootman M., Stamatakis K.A., Qian Z., Ma W.. (2017). Mortality benefits of vigorous air quality improvement interventions during the periods of APEC Blue and Parade Blue in Beijing, China. Environ. Pollut., 220, 222227.</mixed-citation><mixed-citation xml:lang="en">Lin H., Liu T., Fang F., Xiao J., Zeng W., Li X., Guo L., Tian L., Schootman M., Stamatakis K.A., Qian Z., Ma W.. (2017). Mortality benefits of vigorous air quality improvement interventions during the periods of APEC Blue and Parade Blue in Beijing, China. Environ. Pollut., 220, 222227.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Hu Min, Liu Shang, Wu Zhijun, etc. The influence of high temperature, high humidity and precipitation process in summer in Beijing on the distribution of atmospheric particulate matter is close. Science, 2006, 27(11), 2293-2298. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Hu Min, Liu Shang, Wu Zhijun, etc. The influence of high temperature, high humidity and precipitation process in summer in Beijing on the distribution of atmospheric particulate matter is close. Science, 2006, 27(11), 2293-2298. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Wang H., Zhao L., Xie Y., Hu Q.. (2016). APEC blue'-The effects and implications of joint pollution prevention and control program. Sci. Total Environ., 553, 429-438.</mixed-citation><mixed-citation xml:lang="en">Wang H., Zhao L., Xie Y., Hu Q.. (2016). APEC blue'-The effects and implications of joint pollution prevention and control program. Sci. Total Environ., 553, 429-438.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Hao Fan, Chuanfeng Zhao, Yikun Yang. (2020). A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014-2018. Atmospheric Environment. 220, 117066, DOI: 10.1016/j.atmosenv.2019.117066.</mixed-citation><mixed-citation xml:lang="en">Hao Fan, Chuanfeng Zhao, Yikun Yang. (2020). A comprehensive analysis of the spatio-temporal variation of urban air pollution in China during 2014-2018. Atmospheric Environment. 220, 117066, DOI: 10.1016/j.atmosenv.2019.117066.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Hong Guo, Xingfa Gu, Guoxia Ma, Shuaiyi Shi, Wannan Wang, Xin Zuo &amp; Xiaochuan Zhang. (2019). Spatial and temporal variations of air quality and six air pollutants in China during 2015-2017. Scientific Reports, 9, 15201.</mixed-citation><mixed-citation xml:lang="en">Hong Guo, Xingfa Gu, Guoxia Ma, Shuaiyi Shi, Wannan Wang, Xin Zuo &amp; Xiaochuan Zhang. (2019). Spatial and temporal variations of air quality and six air pollutants in China during 2015-2017. Scientific Reports, 9, 15201.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">James P. Bennett, Mousumi Banerjee,Air pollution vulnerability of 22 midwestern parks,Journal of Environmental Management, Volume 44, 5, 339-360, DOI: 10.1016/S0301-4797(95)90356-9.</mixed-citation><mixed-citation xml:lang="en">James P. Bennett, Mousumi Banerjee,Air pollution vulnerability of 22 midwestern parks,Journal of Environmental Management, Volume 44, 5, 339-360, DOI: 10.1016/S0301-4797(95)90356-9.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">World Health Organization. (2005). https://apps.who.int/iris/bitstream/handle/10665/69477/WHO_SDE_PHE_OEH_06.02_chi.pdf;jsessionid=ACB2C9CFB2DFBF6A1384B4978DD527AC?sequence=3 Ambient air quality standards. (2012).</mixed-citation><mixed-citation xml:lang="en">World Health Organization. (2005). https://apps.who.int/iris/bitstream/handle/10665/69477/WHO_SDE_PHE_OEH_06.02_chi.pdf;jsessionid=ACB2C9CFB2DFBF6A1384B4978DD527AC?sequence=3 Ambient air quality standards. (2012).</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/dqhjbh/dqhjzlbz/201203/W020120410330232398521.pdf. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/dqhjbh/dqhjzlbz/201203/W020120410330232398521.pdf. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Technical Regulation on Ambient Air Quality Index (on trial). (HJ 633-2012). (2012). https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/jcffbz/201203/t20120302_224166.shtml.</mixed-citation><mixed-citation xml:lang="en">Technical Regulation on Ambient Air Quality Index (on trial). (HJ 633-2012). (2012). https://www.mee.gov.cn/ywgz/fgbz/bz/bzwb/jcffbz/201203/t20120302_224166.shtml.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Huang X., Ding A., Wang Z. et al. (2020). Amplified transboundary transport of haze by aerosol-boundary layer interaction in China. Nat. Geosci. 13, 428-434, DOI: 10.1038/s41561-020-0583-4. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Huang X., Ding A., Wang Z. et al. (2020). Amplified transboundary transport of haze by aerosol-boundary layer interaction in China. Nat. Geosci. 13, 428-434, DOI: 10.1038/s41561-020-0583-4. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Beijing Clean Air Action Plan for 2013-2017. (2013). http://sthjj.beijing.gov.cn/bjhrb/index/xxgk69/sthjlyzwg/wrygl/603133/index.html. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Beijing Clean Air Action Plan for 2013-2017. (2013). http://sthjj.beijing.gov.cn/bjhrb/index/xxgk69/sthjlyzwg/wrygl/603133/index.html. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Wang J., Yang F.M., Wang D.Y. et al. (2010). Characteristics and correlation of MODIS aerosol optical thickness and PM2.5 mass concentration in Beijing. 27(I), 10-16. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Wang J., Yang F.M., Wang D.Y. et al. (2010). Characteristics and correlation of MODIS aerosol optical thickness and PM2.5 mass concentration in Beijing. 27(I), 10-16. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Zeng J., Liao X.L., Ren Y.F. et al. (2010). Dynamic characteristics and influencing factors of Beijing PM2.5, N02, CO during the Olympics. Acta Ecologica Sinica. 30 (22), 6227-6233. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Zeng J., Liao X.L., Ren Y.F. et al. (2010). Dynamic characteristics and influencing factors of Beijing PM2.5, N02, CO during the Olympics. Acta Ecologica Sinica. 30 (22), 6227-6233. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang J., Zhou W., Cheng Z., Wang S., He K. and Hao J. (2015). Particulate Matter Distributions in China during a Winter Period with Frequent Pollution Episodes. Aerosol Air Qual. Res. 15: 494-503, DOI:10.4209/aaqr.2014.04.0070.</mixed-citation><mixed-citation xml:lang="en">Jiang J., Zhou W., Cheng Z., Wang S., He K. and Hao J. (2015). Particulate Matter Distributions in China during a Winter Period with Frequent Pollution Episodes. Aerosol Air Qual. Res. 15: 494-503, DOI:10.4209/aaqr.2014.04.0070.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Huang K., Zhang X., Lin Y. (2015). The «APEC Blue» phenomenon: Regional emission control effects observed from space. Atmos. Res. 164-165, 65-75.</mixed-citation><mixed-citation xml:lang="en">Huang K., Zhang X., Lin Y. (2015). The «APEC Blue» phenomenon: Regional emission control effects observed from space. Atmos. Res. 164-165, 65-75.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Krotkov N.A, et al. (2016). Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015 Atmos. Chem. Phys. 16, 4605-29.</mixed-citation><mixed-citation xml:lang="en">Krotkov N.A, et al. (2016). Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015 Atmos. Chem. Phys. 16, 4605-29.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Li Jun, Sun Chunbao, Liu Xiande, et al. Subparametric analysis of the influence of meteorological factors on the concentration of atmospheric particulate matter in Beijing. Environmental Science Research, 2009, 22(6), 663-669. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Li Jun, Sun Chunbao, Liu Xiande, et al. Subparametric analysis of the influence of meteorological factors on the concentration of atmospheric particulate matter in Beijing. Environmental Science Research, 2009, 22(6), 663-669. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang L., Zaho X.J., Pu W.W., et al. (2010). Comparative analysis of element characteristics of atmospheric fine particulate PM2.5 in Beijing urban and suburban areas. China Powder Technology, 16(1), 2834. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Zhang L., Zaho X.J., Pu W.W., et al. (2010). Comparative analysis of element characteristics of atmospheric fine particulate PM2.5 in Beijing urban and suburban areas. China Powder Technology, 16(1), 2834. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Lave L.B., Seskin E.P. (1973). An Analysis of the Association Between U.S. Mortality and Air Pollution. Statistical Association, 68 (342), 342.</mixed-citation><mixed-citation xml:lang="en">Lave L.B., Seskin E.P. (1973). An Analysis of the Association Between U.S. Mortality and Air Pollution. Statistical Association, 68 (342), 342.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Ma Z., Hu X., Sayer A.M., Levy R., Zhang Q., Xue Y., Tong S., Bi J., Huang L. and Liu Y. (2016). Satellite-based spatiotemporal trends in PM2.5 concentrations: China, 2004-2013 Environ. Health Perspect, 124, 184-92.</mixed-citation><mixed-citation xml:lang="en">Ma Z., Hu X., Sayer A.M., Levy R., Zhang Q., Xue Y., Tong S., Bi J., Huang L. and Liu Y. (2016). Satellite-based spatiotemporal trends in PM2.5 concentrations: China, 2004-2013 Environ. Health Perspect, 124, 184-92.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Mokdad A.H., James S.M., Stroup D.F., et al. Actual Causes of Death in the United States, (2000). The Journal of the American Mdeical Association, 2004, 291 (10), 1238-1245.</mixed-citation><mixed-citation xml:lang="en">Mokdad A.H., James S.M., Stroup D.F., et al. Actual Causes of Death in the United States, (2000). The Journal of the American Mdeical Association, 2004, 291 (10), 1238-1245.</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Mitas L., and Mitasova H. (1988). General Variational Approach to the Interpolation Problem. Computer and Mathematics with Applications, 16(12), 983-992.</mixed-citation><mixed-citation xml:lang="en">Mitas L., and Mitasova H. (1988). General Variational Approach to the Interpolation Problem. Computer and Mathematics with Applications, 16(12), 983-992.</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Nadezda Zikova et al. (2016). On the source contribution to Beijing PM2.5 concentrations. Atmospheric Environment, 134, 84-95.</mixed-citation><mixed-citation xml:lang="en">Nadezda Zikova et al. (2016). On the source contribution to Beijing PM2.5 concentrations. Atmospheric Environment, 134, 84-95.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Peng J., Chen S., Lv H., Liu Y. and Wu J. (2016). Spatiotemporal patterns of remotely sensed PM2.5 concentration in China from 1999 to 2011. Remote Sens. Environ. 174, 109-21.</mixed-citation><mixed-citation xml:lang="en">Peng J., Chen S., Lv H., Liu Y. and Wu J. (2016). Spatiotemporal patterns of remotely sensed PM2.5 concentration in China from 1999 to 2011. Remote Sens. Environ. 174, 109-21.</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Pengfei Wang et al. (2020). Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak. Resources, Conservation and Recycling. 158, 104814, DOI: 10.1016/j.resconrec.2020.104814.</mixed-citation><mixed-citation xml:lang="en">Pengfei Wang et al. (2020). Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak. Resources, Conservation and Recycling. 158, 104814, DOI: 10.1016/j.resconrec.2020.104814.</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Pope C.A., Bumett R.T. (2002). Lung cancer, cardiopulmonary mortality and long term exposure to fine particulate air pollution. American Medical Association, 287(9), 1132-1141.</mixed-citation><mixed-citation xml:lang="en">Pope C.A., Bumett R.T. (2002). Lung cancer, cardiopulmonary mortality and long term exposure to fine particulate air pollution. American Medical Association, 287(9), 1132-1141.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Pope C.A., Ezzati M., Dockery D.W., et al. (2009). Fine-particulate air pollution and life expectancy in the United States. The New England Journal of Medicine, 360(4), 376-386.</mixed-citation><mixed-citation xml:lang="en">Pope C.A., Ezzati M., Dockery D.W., et al. (2009). Fine-particulate air pollution and life expectancy in the United States. The New England Journal of Medicine, 360(4), 376-386.</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Qiangxia Ma et al. (2017). Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. Science of The Total Environment, 599-600, 246-253.</mixed-citation><mixed-citation xml:lang="en">Qiangxia Ma et al. (2017). Roles of regional transport and heterogeneous reactions in the PM2.5 increase during winter haze episodes in Beijing. Science of The Total Environment, 599-600, 246-253.</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Qing Zhao, He K.B., Ma Y.L., et al. (2009). Regional pollution characteristics of atmospheric particulate matter in summer in Beijing and surrounding areas. Environmental science, 30(7), 1873-1880. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Qing Zhao, He K.B., Ma Y.L., et al. (2009). Regional pollution characteristics of atmospheric particulate matter in summer in Beijing and surrounding areas. Environmental science, 30(7), 1873-1880. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Siyi Cai, et al. (2017). The impact of the «Air Pollution Prevention and Control Action Plan» on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020. Sci. Total Environ, 580, 197-209.</mixed-citation><mixed-citation xml:lang="en">Siyi Cai, et al. (2017). The impact of the «Air Pollution Prevention and Control Action Plan» on PM2.5 concentrations in Jing-Jin-Ji region during 2012-2020. Sci. Total Environ, 580, 197-209.</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">State Council of the People's Republic of China. Notice of the general office of the state council on issuing the air pollution prevention and control action plan. http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm.</mixed-citation><mixed-citation xml:lang="en">State Council of the People's Republic of China. Notice of the general office of the state council on issuing the air pollution prevention and control action plan. http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm.</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Sulaman Muhammad, Xingle Long, Muhammad Salman. (2020). COVID-19 pandemic and environmental pollution: A blessing in disguise? Science of The Total Environment. 728, 138820, DOI: 10.1016/j.scitotenv.2020.138820.</mixed-citation><mixed-citation xml:lang="en">Sulaman Muhammad, Xingle Long, Muhammad Salman. (2020). COVID-19 pandemic and environmental pollution: A blessing in disguise? Science of The Total Environment. 728, 138820, DOI: 10.1016/j.scitotenv.2020.138820.</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Xue T., et al. (2019). Rapid improvement of PM2.5 pollution and associated health benefits in China during 2013-2017. Sci. China Earth Sci. 62, 1847-1856.</mixed-citation><mixed-citation xml:lang="en">Xue T., et al. (2019). Rapid improvement of PM2.5 pollution and associated health benefits in China during 2013-2017. Sci. China Earth Sci. 62, 1847-1856.</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Van D.A., Martin R.V., Brauer M., et al. (2010). Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environmental health perspectives, 8(6), 847.</mixed-citation><mixed-citation xml:lang="en">Van D.A., Martin R.V., Brauer M., et al. (2010). Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: development and application. Environmental health perspectives, 8(6), 847.</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Xu W., Song W., Zhang Y., Liu X., Zhang L., Zhao Y., Liu D., Tang A., Yang D., Wang D., Wen Z., Pan Y., Fowler D., Collett J.L., Erisman J.W., Goulding K., Li Y., Zhang F.. (2017). Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions. Atmos. Chem. Phys, 17 (1), 31-46.</mixed-citation><mixed-citation xml:lang="en">Xu W., Song W., Zhang Y., Liu X., Zhang L., Zhao Y., Liu D., Tang A., Yang D., Wang D., Wen Z., Pan Y., Fowler D., Collett J.L., Erisman J.W., Goulding K., Li Y., Zhang F.. (2017). Air quality improvement in a megacity: implications from 2015 Beijing Parade Blue pollution control actions. Atmos. Chem. Phys, 17 (1), 31-46.</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Wang W.N., et al. (2017). Assessing Spatial and Temporal Patterns of Observed Ground-level Ozone in China. Scientific reports, 7, 3651.</mixed-citation><mixed-citation xml:lang="en">Wang W.N., et al. (2017). Assessing Spatial and Temporal Patterns of Observed Ground-level Ozone in China. Scientific reports, 7, 3651.</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Warren R., Arnell N., Nicholls R., et al. (2006). Understanding the regional impacts of climate change. UK: University of east anglia.</mixed-citation><mixed-citation xml:lang="en">Warren R., Arnell N., Nicholls R., et al. (2006). Understanding the regional impacts of climate change. UK: University of east anglia.</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Whitby K.T. (1978). The physical characteristics of sulfur aerosols. Atmospheric Environment, 12(1-3), 135-159.</mixed-citation><mixed-citation xml:lang="en">Whitby K.T. (1978). The physical characteristics of sulfur aerosols. Atmospheric Environment, 12(1-3), 135-159.</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Zhanshan, Li Yunting, Chen Tian, et al. (2015). The temporal and spatial distribution of PM2.5 in Beijing in 2013. Acta Geographica Sinica, 70(1), 110-120. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Wang Zhanshan, Li Yunting, Chen Tian, et al. (2015). The temporal and spatial distribution of PM2.5 in Beijing in 2013. Acta Geographica Sinica, 70(1), 110-120. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang X., Chaopeng Hong, Yixuan Zheng, Bo Zheng, Dabo Guan, Andy Gouldson et al. (2015). To what extent can China's near-term air pollution control policy protect air quality and human health? A case study of the Pearl River Delta region. Environ. Res. Lett, DOI: 10:104006.</mixed-citation><mixed-citation xml:lang="en">Jiang X., Chaopeng Hong, Yixuan Zheng, Bo Zheng, Dabo Guan, Andy Gouldson et al. (2015). To what extent can China's near-term air pollution control policy protect air quality and human health? A case study of the Pearl River Delta region. Environ. Res. Lett, DOI: 10:104006.</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Zhu X.L., Zhang Y.H., Zeng L.M., et al. (2005). Research on the source of atmospheric fine particulate matter PM2.5 in Beijing. Environmental Science Research, 18(5), 1-5. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Zhu X.L., Zhang Y.H., Zeng L.M., et al. (2005). Research on the source of atmospheric fine particulate matter PM2.5 in Beijing. Environmental Science Research, 18(5), 1-5. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Li X., Qiao Y., Zhu J., Shi L., Wang Y.. (2017). The «APEC blue» endeavor: causal effects of air pollution regulation on air quality in China. Cleaner Prod, 168, 1381-1388.</mixed-citation><mixed-citation xml:lang="en">Li X., Qiao Y., Zhu J., Shi L., Wang Y.. (2017). The «APEC blue» endeavor: causal effects of air pollution regulation on air quality in China. Cleaner Prod, 168, 1381-1388.</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Xu G., Ding A., Yan P. (2007). The composition characteristics and source analysis of PM2.5 in Beijing. Journal of Applied Meteorology, 18(5), 645-654. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Xu G., Ding A., Yan P. (2007). The composition characteristics and source analysis of PM2.5 in Beijing. Journal of Applied Meteorology, 18(5), 645-654. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Sun Y., Wang Z., Wild O., Xu W., Chen C., Fu P., Du W., Zhou L., Zhang Q., Han T., Wang Q., Pan X., Zheng H., Li J., Guo X., Liu J., Worsnop D.R. (2016). «APEC Blue»: secondary aerosol reductions from emission controls in Beijing. Sci. Rep. 6, 20668.</mixed-citation><mixed-citation xml:lang="en">Sun Y., Wang Z., Wild O., Xu W., Chen C., Fu P., Du W., Zhou L., Zhang Q., Han T., Wang Q., Pan X., Zheng H., Li J., Guo X., Liu J., Worsnop D.R. (2016). «APEC Blue»: secondary aerosol reductions from emission controls in Beijing. Sci. Rep. 6, 20668.</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Xue Y., Wang Y., Li X., Tian H., Nie L., Wu X., Zhou J., Zhou Z.. (2018). Multi-dimension apportionment of clean air «parade blue» phenomenon in Beijing. Environ Sci (China), 65, 29-42.</mixed-citation><mixed-citation xml:lang="en">Xue Y., Wang Y., Li X., Tian H., Nie L., Wu X., Zhou J., Zhou Z.. (2018). Multi-dimension apportionment of clean air «parade blue» phenomenon in Beijing. Environ Sci (China), 65, 29-42.</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Zheng Y., Tao Xue, Qiang Zhang, Guannan Geng, Dan Tong, Xin Li, et al. (2017). Air quality improvements and health benefits from China's clean air action since 2013. Environ. Res. Lett, 12, 114020.</mixed-citation><mixed-citation xml:lang="en">Zheng Y., Tao Xue, Qiang Zhang, Guannan Geng, Dan Tong, Xin Li, et al. (2017). Air quality improvements and health benefits from China's clean air action since 2013. Environ. Res. Lett, 12, 114020.</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Yele Sun, Guoshun Zhuang, Aohan Tang, Ying Wang, and Zhisheng An. (2006). Environmental Science &amp; Technology, 40(10), 3148-3155, DOI: 10.1021/es051533g.</mixed-citation><mixed-citation xml:lang="en">Yele Sun, Guoshun Zhuang, Aohan Tang, Ying Wang, and Zhisheng An. (2006). Environmental Science &amp; Technology, 40(10), 3148-3155, DOI: 10.1021/es051533g.</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang R., Jing J., Tao J., et al. (2013). Chemical characterization apportionment and source atmospheric of PM2.5 in Beijing: seasonal perspective. Chemistry and Physics, 13(14), 7053-7074.</mixed-citation><mixed-citation xml:lang="en">Zhang R., Jing J., Tao J., et al. (2013). Chemical characterization apportionment and source atmospheric of PM2.5 in Beijing: seasonal perspective. Chemistry and Physics, 13(14), 7053-7074.</mixed-citation></citation-alternatives></ref><ref id="cit62"><label>62</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang R., Jing J., Tao J., et al. (2013). Chemical characterization and source apportionment of PM2.5 in Beijing: seasonal perspective. Atmospheric Chemistry and Physics, 13(14), 7053-7074.</mixed-citation><mixed-citation xml:lang="en">Zhang R., Jing J., Tao J., et al. (2013). Chemical characterization and source apportionment of PM2.5 in Beijing: seasonal perspective. Atmospheric Chemistry and Physics, 13(14), 7053-7074.</mixed-citation></citation-alternatives></ref><ref id="cit63"><label>63</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Y.L. &amp; Cao F. (2015). Fine particulate matter (PM2.5) in China at a city level. Scientific reports, 5, 14884.</mixed-citation><mixed-citation xml:lang="en">Zhang Y.L. &amp; Cao F. (2015). Fine particulate matter (PM2.5) in China at a city level. Scientific reports, 5, 14884.</mixed-citation></citation-alternatives></ref><ref id="cit64"><label>64</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Q., Yixuan Zheng, Dan Tong, Min Shao, Shuxiao Wang, Yuanhang Zhang et al. (2019). Drivers of improved PM2.5 air quality in China from 2013 to 2017. PNAS. 116(49), 24463-24469.</mixed-citation><mixed-citation xml:lang="en">Zhang Q., Yixuan Zheng, Dan Tong, Min Shao, Shuxiao Wang, Yuanhang Zhang et al. (2019). Drivers of improved PM2.5 air quality in China from 2013 to 2017. PNAS. 116(49), 24463-24469.</mixed-citation></citation-alternatives></ref><ref id="cit65"><label>65</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang J., Ouyang Z.Y., Miao H., et al. (2013). Comparison and analysis of the characteristics of atmospheric fine particulate matter in Beijing during the early and during the Olympic. Environmental science, 34 (7), 2512-2518. (in Chinese).</mixed-citation><mixed-citation xml:lang="en">Zhang J., Ouyang Z.Y., Miao H., et al. (2013). Comparison and analysis of the characteristics of atmospheric fine particulate matter in Beijing during the early and during the Olympic. Environmental science, 34 (7), 2512-2518. (in Chinese).</mixed-citation></citation-alternatives></ref><ref id="cit66"><label>66</label><citation-alternatives><mixed-citation xml:lang="ru">Zhijun Wu, Yu Wang, Tianyi Tan, Yishu Zhu, Mengren Li, Dongjie Shang, Haichao Wang, Keding Lu, Song Guo, Limin Zeng, and Yuanhang Zhang. (2018). Aerosol Liquid Water Driven by Anthropogenic Inorganic Salts: Implying Its Key Role in Haze Formation over the North China Plain. Environmental Science &amp; Technology Letters, 5(3), 160-166, DOI: 10.1021/acs.estlett.8b00021.</mixed-citation><mixed-citation xml:lang="en">Zhijun Wu, Yu Wang, Tianyi Tan, Yishu Zhu, Mengren Li, Dongjie Shang, Haichao Wang, Keding Lu, Song Guo, Limin Zeng, and Yuanhang Zhang. (2018). Aerosol Liquid Water Driven by Anthropogenic Inorganic Salts: Implying Its Key Role in Haze Formation over the North China Plain. Environmental Science &amp; Technology Letters, 5(3), 160-166, DOI: 10.1021/acs.estlett.8b00021.</mixed-citation></citation-alternatives></ref><ref id="cit67"><label>67</label><citation-alternatives><mixed-citation xml:lang="ru">Zhongzhi Zhang et al. (2017). The contribution of residential coal combustion to PM2.5 pollution over China's Beijing-Tianjin-Hebei region in winter. Atmospheric Environment, 159, 147-161.</mixed-citation><mixed-citation xml:lang="en">Zhongzhi Zhang et al. (2017). The contribution of residential coal combustion to PM2.5 pollution over China's Beijing-Tianjin-Hebei region in winter. Atmospheric Environment, 159, 147-161.</mixed-citation></citation-alternatives></ref><ref id="cit68"><label>68</label><citation-alternatives><mixed-citation xml:lang="ru">Zhou Y., Shuiyuan Cheng, Dongsheng Chen, Jianlei Lang, GangWang, Tingting Xu et al. (2015). Temporal and Spatial Characteristics of Ambient Air Quality in Beijing, China. Aerosol and Air Quality Research, 15, 1868-1880.</mixed-citation><mixed-citation xml:lang="en">Zhou Y., Shuiyuan Cheng, Dongsheng Chen, Jianlei Lang, GangWang, Tingting Xu et al. (2015). Temporal and Spatial Characteristics of Ambient Air Quality in Beijing, China. Aerosol and Air Quality Research, 15, 1868-1880.</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>
