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Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00586036" target="_blank" >RIV/67985807:_____/24:00586036 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/24:10484315

  • Result on the web

    <a href="https://doi.org/10.5194/acp-24-4347-2024" target="_blank" >https://doi.org/10.5194/acp-24-4347-2024</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5194/acp-24-4347-2024" target="_blank" >10.5194/acp-24-4347-2024</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling the drivers of fine PM pollution over Central Europe: impacts and contributions of emissions from different sources

  • Original language description

    Fine particulate matter (PM 2.5 ) is among the air pollutants representing the most critical threat to human health in Europe. For designing strategies to mitigate this kind of air pollution, it is essential to identify and quantify the sources of its components. Here, we utilized the regional chemistry transport model CAMx (Comprehensive Air Quality Model with Extensions) to investigate the relationships between emissions from different categories and the concentrations of PM 2.5 and its secondary components over Central Europe during the period 2018-2019, both in terms of the contributions of emission categories calculated by the particle source apportionment technology (PSAT) and the impacts of the complete removal of emissions from individual categories (i.e., the zero-out method). During the winter seasons, emissions from other stationary combustion (including residential combustion) were the main contributor to the domain-wide average PM 2.5 concentration (3.2 mu g m - 3 ), and their removal also had the most considerable impact on it (3.4 mu g m - 3 ). During the summer seasons, the domain-wide average PM 2.5 concentration was contributed the most by biogenic emissions (0.57 mu g m - 3 ), while removing emissions from agriculture-livestock had the most substantial impact on it (0.46 mu g m - 3 ). The most notable differences between the contributions and impacts for PM 2.5 were associated with emissions from agriculture-livestock, mainly due to the differences in nitrate concentrations, which reached up to 4.5 and 1.25 mu g m - 3 in the winter and summer seasons, respectively. We also performed a sensitivity test of the mentioned impacts on PM 2.5 on two different modules for secondary organic aerosol formation (SOAP and VBS), which showed the most considerable differences for emissions from other stationary combustion (in winter) and road transport (in summer).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/SS02030031" target="_blank" >SS02030031: Air quality Research, Assessment and Monitoring Integrated System</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Atmospheric Chemistry and Physics

  • ISSN

    1680-7316

  • e-ISSN

    1680-7324

  • Volume of the periodical

    24

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    41

  • Pages from-to

    4347-4387

  • UT code for WoS article

    001203073300001

  • EID of the result in the Scopus database

    2-s2.0-85192456635