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Determination of air quality zones in Turkey.

Abstract

In this study, the particulate matter (with an aerodynamic diameter <10 microm; PM10) profile of Turkey with data from the air quality monitoring stations located throughout the country was used. The number of stations (119) was reduced to 55 after a missing data treatment for statistical analyses. First, a classification method was developed based on ongoing national and international (European Commission directives) legislations to categorize air zones into six groups, from a "Very Clear Air Zone" to a "Polluted Air Zone". Then, a Geographic Information System (GIS)-based interpolation technique and statistical analyses (correlation analysis and factor analysis) were used to generate PM10 pollution profiles of the annual heating time and nonheating time periods. Finally, the coherent air pollution management zones of Turkey, based on air quality criteria and measured data using a GIS-based model supported by statistical analyses, were suggested. Based on the analysis, four hot spots were identified: (i) the eastern part of the Black Sea region; (ii) the northeastern part of inland Anatolia; (iii) the western part of Northeastern Anatolia; and (vi) the eastern part of Turkey. The possible reasons for the elevated PM10 levels are discussed using topographic, climatologic, land use, and energy utilization parameters. Finally, the suggested air zones were compared with the administrative air zones, which were newly developed by the Turkish Ministry of Environment and Forestry, to evaluate the level of agreement between the two.

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  • Authors

    Karaca F

    Institution

    Department of Environmental Engineering, Fatih University, Istanbul, Turkey. jkaraca@fatih.edu.tr

    Source

    Journal of the Air & Waste Management Association (1995) 62:4 2012 Apr pg 408-19

    MeSH

    Air Pollutants
    Air Pollution
    Cities
    Demography
    Environmental Monitoring
    Industry
    Time Factors
    Trees
    Turkey

    Pub Type(s)

    Journal Article

    Language

    eng

    PubMed ID

    22616283