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The Influence of Local Emissions and Regional Air Pollution Transport on a European Air Pollution Hot Spot.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985858%3A_____%2F19%3A00500873" target="_blank" >RIV/67985858:_____/19:00500873 - isvavai.cz</a>

  • Alternative codes found

    RIV/68081715:_____/19:00500873 RIV/00216208:11310/19:10395532

  • Result on the web

    <a href="http://hdl.handle.net/11104/0292917" target="_blank" >http://hdl.handle.net/11104/0292917</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11356-018-3670-y" target="_blank" >10.1007/s11356-018-3670-y</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Influence of Local Emissions and Regional Air Pollution Transport on a European Air Pollution Hot Spot.

  • Original language description

    The EU air quality standards have been frequently exceeded in one of the European air pollution hot spots: Ostrava. The aim of this study was to perform an air quality comparison between an urban site (Radvanice), which has a nearby metallurgical complex, and a suburban site (Plesná) to estimate air pollution sources and determine their local and/or regional origins. Twenty-four hour PM1 and PM10 (particular matter) concentrations, detailed mass size distributions (MSDs) to distinguish the sources of the fine and coarse PM, and their chemical compositions were investigated in parallel at both sites during the winter of 2014. Positive matrix factorization (PMF) was applied to the PM1 and PM10 chemical compositions to investigate their sources. During the measurement campaign, prevailing northeastern-southwestern (NE-SW) wind directions (WDs) were recorded. Higher average PM10 concentration was measured in Radvanice than in Plesná, whereas PM1 concentrations were similar at both sites. A source apportionment analysis revealed six and five sources for PM10 and PM1, respectively. In Radvanice, the amount of PM and the most chemical species were similar under SW and NE WD conditions. The dominant sources were industrial (43% for PM10 and 27% for PM1), which were caused by a large metallurgical complex located to the SW, and biomass burning (25% for PM10 and 36% for PM1). In Plesná, the concentrations of PM and all species significantly increased under NE WD conditions. Secondary inorganic aerosols were dominant, with the highest contributions deriving from the NE WD. Therefore, regional pollution transport from the industrial sector in Silesian Province (Poland) was evident. Biomass burning contributed 22% and 24% to PM10 and PM1, respectively. The air quality in Ostrava was influenced by local sources and regional pollution transport. The issue of poor air quality in this region is complex. Therefore, international cooperation from both states (the Czech Republic and Poland) is needed to achieve a reduction in air pollution levels.

  • 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

    30304 - Public and environmental health

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Environmental Science and Pollution Research

  • ISSN

    0944-1344

  • e-ISSN

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    8

  • Pages from-to

    1675-1692

  • UT code for WoS article

    000455814700060

  • EID of the result in the Scopus database

    2-s2.0-85056847110