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      مشاهده مورد 
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Global Journal of Environmental Science and Management
      • Volume 5, Issue 3
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • Global Journal of Environmental Science and Management
      • Volume 5, Issue 3
      • مشاهده مورد
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      The relationships between meteorological parameters and air pollutants in an urban environment

      (ندگان)پدیدآور
      Kayes, I.Shahriar, S.A.Hasan, K.Akhter, M.Kabir, M.M.Salam, M.A.
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      نوع مدرک
      Text
      ORIGINAL RESEARCH PAPER
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      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 non-linear 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 non-linear 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.
      کلید واژگان
      Air pollution
      Humidity
      PM2.5 and PM10
      Regression Analysis
      Temperature
      Air pollution control and management

      شماره نشریه
      3
      تاریخ نشر
      2019-07-01
      1398-04-10
      ناشر
      GJESM Publisher
      سازمان پدید آورنده
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
      Department of Environmental Science and Disaster Management, Faculty of Science, Noakhali Science and Technology University, Noakhali-3814, Bangladesh

      شاپا
      2383-3572
      2383-3866
      URI
      https://dx.doi.org/10.22034/GJESM.2019.03.01
      https://www.gjesm.net/article_34908.html
      https://iranjournals.nlai.ir/handle/123456789/92001

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