Document Type : Research article

Authors

1 M.Sc. Department of of Environmental pollution, Department of natural resources, Isfahan university of technology, Isfahan, Iran.

2 M.Sc. Department of Environmental planning, Faculty of Environment, University of Tehran, Tehran, Iran.

3 Assistant Professor of environmental planning and management, Faculty of Environment, University of Tehran, Tehran,Iran.

Abstract

Introduction: suspended particles has numerous negative effects on human health and plants.it plays an extremely important role in global climate change as well.
Objective:In this survey, variations and influence of meteorological parameters on the concentration of PM10 concentrations were studied.
Methods: In this study, first, daily, monthly and seasonal concentrations variation of PM10 were investigated. Then, the degree of correlation between PM10 and meteorological parameters were analyzed by Pearson correlation. Also regression model was used to predict PM10 concentration.
Findings: Daily average PM10 concentration during the study period indicates that the highest concentration was in the 22nd August (1077 µg/m3) and the lowest in the 8th march (42 µg/m3). It also shows the monthly average concentration was in August (301/06 µg/m3), While the lowest concentration is accounted November (152/16 µg/m3). Seasonal concentration showed that the highest concentrations are in the summer (272/76 µg/m3). Pearson correlation coefficient analysis shows that particulate matter has a direct correlation with temperature and wind speed, while reverse correlation with precipitation and atmospheric pressure.
conclusion: Based on the results of Pearson correlation, it was found that rainfall and relative humidity have adverse effects but the temperature and wind speed have a direct impact on the concentrations of PM10. So that the increased rainfall will reduce the concentration of PM10. While the temperature and the wind speed increases the concentration of suspended particles. Also, the coefficient of determination in the regression model Suggests that 13, 25 and 6 percent of PM10 changes in spring, summer and fall are explained by meteorological parameters used in the model. Based on these results we can say that adverse meteorological conditions may lead to increased concentrations of PM10.

Keywords

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  17. Ketabi D, Esmaili R, Alidadi H, Peirovi R, Joulaei F. Evaluation of Mashhad City Air Quality based on Air Quality Index (AQI). Journal of Research in Environmental Health 2015; 2(3): 236-228. (Persian)
  18. McKendry IG. PM10 levels in the Lower Fraser Valley, British Columbia, Canada: an overview of spatiotemporal variations and meteorological controls. Journal of the Air & Waste Management Association 2000; 50(3): 452-443.
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  20. Wang YQ, Zhang XY, Arimoto R, Cao JJ, Shen ZX. Characteristics of carbonate content and carbon and oxygen isotopic composition of northern China soil and dust aerosol and its application to tracing dust sources. Atmospheric Environment 2005; 39(14): 2642-2631.
  21. Goudie AS, Middleton N. Desert Dust in the Global System. 1st ed. Berlin: Springer 2006; 278-153.
  22. Shahsavani A, Yarahmadi M, Mesdaghinia A, Younesian M, Jaafarzadeh N, Naimabadi M, et al. Analysis of Dust Storms Entering Iran with Emphasis on Khuzestan Province. Hakim Research Journal 2011; 15(3): 202-192.
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  26. Tecer LH, Süren P, Alagha O, Karaca F, Tuncel G. Effect of meteorological parameters on fine and coarse particulate matter mass concentration in a coal-mining area in Zonguldak, Turkey. Journal of the Air & Waste Management Association 2008; 58(4): 552-543.
  27. Shariepour, Z. Seasonal and daily variation of air pollutants and their relation to meteorological parameters. Journal of the Earth and Space Physics 2010; 35(2): 137-119. (Persian)
  28. Masoudi M, Sakhaei M, Behzadi F, Jokar P. Status of PM10 as an air pollutant and its prediction using meteorological parameters in Tehran, Iran. Fresenius environmental bulletin 2016; 25(6): 2017-2008.
  29. Ahmadi H, Ahmadi T, Shahmoradi B, Mohammadi S, Kohzadi S. The effect of climatic parameters on air pollution in Sanandaj, Iran. Journal of Advances in Environmental Health Research 2015; 3(1): 61-49.
  30. Makhdoum M. Fundamental of land use planning.6th ed. Tehran: Tehran University Press; 2006. (Persian).