IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p7920-d1475568.html
   My bibliography  Save this article

Impact of Domestic Heating on Air Pollution—Extreme Pollution Events in Serbia

Author

Listed:
  • Gorica Stanojević

    (Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Djure Jakšića 9, 11000 Belgrade, Serbia)

  • Slavica Malinović-Milićević

    (Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Djure Jakšića 9, 11000 Belgrade, Serbia
    Institute of Environmental Engineering, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia)

  • Eldin Brđanin

    (Faculty of Geography, University of Belgrade, Studentski Trg 3/III, 11000 Belgrade, Serbia)

  • Miško Milanović

    (Faculty of Geography, University of Belgrade, Studentski Trg 3/III, 11000 Belgrade, Serbia)

  • Milan M. Radovanović

    (Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Djure Jakšića 9, 11000 Belgrade, Serbia)

  • Teodora Popović

    (Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, Djure Jakšića 9, 11000 Belgrade, Serbia)

Abstract

Exposure to ambient particulate matter (PM) is one of the leading health risks globally. Several European regions experience high PM concentrations due to the burning of fossil fuels for domestic heating. Accordingly, Serbia ranks among the countries with the highest levels of air pollution. The annual mean concentrations are the most common indicator in exposure studies. However, this study uses station data in Serbia to indicate the concentrations to which the population is exposed during the heating season (October–April) based on daily PM 10 and PM 2.5 concentrations from 2011 to 2022. In addition, events with concentrations above WHO-recommended daily upper limits (45 μg/m 3 for PM 10 and 15 μg/m 3 for PM 2.5 ) are classified by duration, intensity, and the cumulative sum of excess concentrations. The highest daily mean PM 10 concentration in the heating season is 87.1 μg/m 3 , and for PM 2.5 , the highest concentration is 65.6 μg/m 3 (up to three to four times more than in the rest of the year in both cases). During the most extreme events, mean daily PM 10 and PM 2.5 concentrations were in the ranges of 150–200 μg/m 3 and 100–150 μg/m 3 , respectively. The cumulative sum of excess concentration in the most extreme events reached up to ~7600 μg/m 3 for PM 10 and ~5000 μg/m 3 for PM 2.5 . To better understand the problem, the share of occupied dwellings with heating installations and prevailing types of fuels were explored on the municipal level. In general, in most municipalities in Serbia, the share of dwellings with heating installations is up to 60%. Among those, dwellings with district heating dominate, while only a small number of them have a significant share of central heating. When it comes to fuel types, wood is primarily used in dwellings with district heating or without heating installations. These findings imply directions for the development of air quality planning and management policies.

Suggested Citation

  • Gorica Stanojević & Slavica Malinović-Milićević & Eldin Brđanin & Miško Milanović & Milan M. Radovanović & Teodora Popović, 2024. "Impact of Domestic Heating on Air Pollution—Extreme Pollution Events in Serbia," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7920-:d:1475568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/7920/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/18/7920/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fan, Maoyong & He, Guojun & Zhou, Maigeng, 2020. "The winter choke: Coal-Fired heating, air pollution, and mortality in China," Journal of Health Economics, Elsevier, vol. 71(C).
    2. Kaspar R. Daellenbach & Gaëlle Uzu & Jianhui Jiang & Laure-Estelle Cassagnes & Zaira Leni & Athanasia Vlachou & Giulia Stefenelli & Francesco Canonaco & Samuël Weber & Arjo Segers & Jeroen J. P. Kuene, 2020. "Sources of particulate-matter air pollution and its oxidative potential in Europe," Nature, Nature, vol. 587(7834), pages 414-419, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jia, Ce & Guo, Xiaodan & Tian, Ziyue & Xiao, Bowen, 2025. "Unintended consequences of SO2 mitigation: Increased PM and infant mortality in China," Energy Economics, Elsevier, vol. 144(C).
    2. Maria Chiara Pietrogrande & Cristina Colombi & Eleonora Cuccia & Umberto Dal Santo & Luisa Romanato, 2023. "Seasonal and Spatial Variations of the Oxidative Properties of Ambient PM 2.5 in the Po Valley, Italy, before and during COVID-19 Lockdown Restrictions," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    3. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    4. Du,Xinming & Maruyama Rentschler,Jun Erik & Russ,Jason Daniel, 2023. "People's Unequal Exposure to Air Pollution : Evidence for the World's Coal-FiredPower Plants," Policy Research Working Paper Series 10400, The World Bank.
    5. Lin, Jiada & Wan, Haiyuan & Yu, Yangcheng, 2024. "What you breathe makes you poor: The effect of air pollution on income," China Economic Review, Elsevier, vol. 83(C).
    6. Colmer, Jonathan & Lin, Dajun & Liu, Siying & Shimshack, Jay, 2021. "Why are pollution damages lower in developed countries? Insights from high-Income, high-particulate matter Hong Kong," Journal of Health Economics, Elsevier, vol. 79(C).
    7. Kong, Dongmin & Liang, Junwei & Liu, Chenhao, 2022. "Invisible enemy: The health impact of ozone," China Economic Review, Elsevier, vol. 72(C).
    8. Ju Wang & Tongnan Li & Zhuoqiong Li & Chunsheng Fang, 2022. "Study on the Spatial and Temporal Distribution Characteristics and Influencing Factors of Particulate Matter Pollution in Coal Production Cities in China," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
    9. Shilei Liu & Jinlei Qi & Jintao Xu & Yuanyuan Yi & Peng Yin & Maigeng Zhou, 2024. "Forest Mitigates Short-Term Health Risk of Air Pollution: Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(8), pages 2163-2204, August.
    10. Yuan Liu & Xun He & Wanzhang Wang & Chenhui Zhu & Ruibo Jian & Jinfan Chen, 2022. "Agri-Environment Atmospheric Real-Time Monitoring Technology Based on Drone and Light Scattering," Agriculture, MDPI, vol. 12(11), pages 1-20, November.
    11. Federico Lubello, 2024. "From Brown to Green: Climate Transition and Macroprudential Policy Coordination," JRFM, MDPI, vol. 17(10), pages 1-20, October.
    12. Qiu, Yun & Liu, Yunning & Shi, Wei & Zhou, Maigeng, 2024. "The impact of ozone pollution on mortality: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    13. Chen, Jidong & Shi, Xinzheng & Zhang, Ming-ang & Zhang, Sihan, 2024. "Centralization of environmental administration and air pollution: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 126(C).
    14. Ma, Sining & Guo, Siyue & Zheng, Dingqian & Chang, Shiyan & Zhang, Xiliang, 2021. "Roadmap towards clean and low carbon heating to 2035: A provincial analysis in northern China," Energy, Elsevier, vol. 225(C).
    15. Gan, Hongwu & Guo, Mengmeng & Li, Jian & Niu, Geng & Zhou, Yang, 2025. "Air pollution and household stock market participation," Journal of Banking & Finance, Elsevier, vol. 172(C).
    16. Meina Zheng & Xiucheng Guo & Feng Liu & Jiayan Shen, 2021. "Contribution of Subway Expansions to Air Quality Improvement and the Corresponding Health Implications in Nanjing, China," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    17. Xu, Shang & Zhang, Jun, 2023. "The welfare impacts of removing coal subsidies in rural China," Energy Economics, Elsevier, vol. 118(C).
    18. Li, Xue & Smyth, Russell & Xin, Guangyi & Yao, Yao, 2023. "Warmer temperatures and energy poverty: Evidence from Chinese households," Energy Economics, Elsevier, vol. 120(C).
    19. Aidi Tang & Yunxuan Zhu & Wenjia Gu & Ce Wang, 2024. "Air Quality Benefits of Renewable Energy: Evidence from China’s Renewable Energy Heating Policy," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    20. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7920-:d:1475568. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.