• Title of article

    The relationships between meteorological parameters and air pollutants in an urban environment

  • Author/Authors

    Kayes ، I. - Noakhali Science and Technology University , Shahriar ، S.A. - Noakhali Science and Technology University , Hasan ، K. - Noakhali Science and Technology University , Akhter ، M. - Noakhali Science and Technology University , Kabir ، M.M. - Noakhali Science and Technology University , Salam ، M.A. - Noakhali Science and Technology University

  • Pages
    14
  • From page
    265
  • To page
    278
  • Abstract
    Meteorological parameters play a significant role in affecting ambient air quality of an urban environment. As Dhaka, the capital city of Bangladesh, is one of the air pollution hotspot among the megacities in the world, however the potential meteorological influences on criteria air pollutants for this megacity are remained less studied. The objectives of this research were to examine the relationships between meteorological parameters such as daily mean temperature (o C), relative humidity (%) and rainfall (mm) and, the concentration of criteria air pollutants (SO2, CO, NOx, O3, PM2.5 and PM10) from January, 2013 to December, 2017. This study also focused on the trend analysis of the air pollutants concentration over the period. Spearman correlation was applied to illustrate the relationships between air pollutants concentration and temperature, relative humidity and rainfall.  Multiple linear and nonlinear regressions were compared to explore potential role of meteorological parameters on air pollutants’ concentrations. Trend analysis resulted that concentration of SO2 is increasing in the air of Dhaka while others are decreasing. Most of the pollutants resulted negative correlation with atmospheric temperature and relative humidity, however, they showed variable response to seasonal variation of meteorological parameters. Regression analysis resulted that both the multiple nonlinear and linear model performed similar for predicting concentrations of particulate matters but for gaseous pollutants both model performances were poor. This research is expected to contribute in improving the forecast accuracy of air pollution under variable meteorological parameters considering seasonal fluctuations.
  • Keywords
    Air pollution , Humidity , PM2.5 and PM10 , Regression Analysis , Temperature
  • Journal title
    Global Journal of Environmental Science and Management
  • Serial Year
    2019
  • Journal title
    Global Journal of Environmental Science and Management
  • Record number

    2457851