Abstract

Fine particulate matter (PM2.5) can pose serious health effects. Therefore, continuous monitoring of PM2.5 is vital for public health management. This study aims to investigate PM2.5 pollution in T & uuml;rkiye in the period before ground-level measurements, both temporally and spatially. Satellite-based PM2.5 mapping was implemented to overcome gaps in ground-level measurements. The method of van Donkelaar et al. (2010), which combines satellite-derived aerosol optical depth (AOD) and aerosol profiles from the GEOS-Chem model, was applied. The global annual surface fine particulate matter concentration dataset (V4.GL.03) was used for 1998-2019. The unsupervised trend clustering method is applied to determine the trends in PM2.5. Health risks were assessed using Population Exposure (PE) model. The interannual average concentrations of PM2.5 in T & uuml;rkiye ranged between 13.0 and 18.0 mu g/m(3) with a mean of 15.2 mu g/m(3). The highest level of particulate matter pollution was recorded in the provinces of Bursa and K & uuml;tahya. PM2.5 concentrations showed a growth trend in nearly 90% of T & uuml;rkiye. The findings provide critical information on air quality management and public health. Based on observed concentration trends and population exposure, urgent policy attention should focus on controlling PM2.5 pollution in Bursa, K & uuml;tahya, Ankara, & Idot;zmir, Kocaeli, Adana, and Antalya provinces. Decision-makers should take the necessary precautions to cope with PM2.5 pollution. Furthermore, T & uuml;rkiye must set the PM2.5 thresholds as soon as possible.

  • Kapsamı

    Uluslararası

  • Type

    Hakemli

  • Index info

    WOS.SCI

  • Language

    English

  • Article Type

    None