The effect of climatic parameters on air pollution in Sanandaj, Iran

Authors

1 Department of Climatology, Hakim Sabzevari University, Sabzevar, Iran

2 Department of Architecture and Urban Planning, School of Engineering, University of Kurdistan, Sanandaj, Iran

3 Kurdistan Environmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran

4 Department of Environmental Protection, Sanandaj, Iran

5 Department of Environmental Health Engineering, Student Research Committee, Kurdistan University of Medical Sciences, Sanandaj, Iran

Abstract

Air pollution is one of the emerging environmental issues of the western cities of Iran. Daily data (2009-2012) on air pollutants in Sanandaj, Iran, were collected from the Department of Environmental Protection, Kurdistan Province, Iran. Climatic parameters were collected from the Kurdistan Meteorological Bureau. The quality of air was assessed based on the air quality index (AQI). The relationship between climatic parameters was analyzed using the Pearson correlation coefficient and multiple regression analysis. AQI indicated that the air quality in Sanandaj is under normal conditions. However, Particulate Matter (PM10) was at medium and critical level, requiring precautionary measures for the health of the elderly and children. The concentration of PM10 has increased in recent years during the months of April to June (reached an unhealthy level in the warm days of the year). The highest pollutant concentration (CO and SO2) was observed during cold days of the year (December to February). The highest concentration of NO2, NO, O3, and PM10 were observed in summer and spring, whereas the lowest concentrations were observed in cold seasons. The Pearson correlation analysis revealed a significant correlation between air pollutants and climatic parameters. The multiple regression analysis and R2 analysis showed the influence of climatic factors on pollutant concentration. ANOVA indicated Factors which cause the most significant variability in pollutant concentration are air temperature, relative humidity, and wind speed. 

Keywords

References

  1. Jacob DJ, Winner DA. Effect of climate change on air quality. Atmospheric Environment 2009; 43(1):51-63.
  2. Banan N, Talib Latif M, Juneng L. An Assessment of
  3. Ozone Levels in Typical Urban Areas in the Malaysian Peninsular. International Journal of Environmental, Ecological, Geological and Geophysical Engineering 2013; 7(2): 60-4.
  4. Al-Jeelani HA. Diurnal and Seasonal Variations of Surface Ozone and Its Precursors in the Atmosphere of Yanbu, Saudi Arabia. Journal of Environmental Protection 2014; 5: 408-22.
  5. Sportisse B. Fundamentals in Air Pollution: From Processes to Modelling. Berlin, Germany: Springer Science & Business Media; 2009.
  6. Yousefi Kebria D, Darvishi G, Haghighi F. Estimation of Air Pollution in Urban Streets by Modeling of PM10, O3 and CO Pollutants according to Regression Method (Case study-Yadegar and Azadi streets intersection, Tehran, Iran). Research Journal of Recent Sciences 2013; 2(4): 36-45.
  7. Akpinar E, Akpinar S, Oztop H. Statistical analysis of meteorological factors and air pollution at winter months in Elazig, Turkey. Ebru, Sinan, Hakan. Journal of Urban and Environmental Engineering 2009; 3(1): 7-16.
  8. Mansouri B, Hoshyari E, Mansouri A. Study on ambient concentrations of air quality parameters (O3, SO2, CO and PM10) in different months in Shiraz city, Iran. International Journal of Environmental Sciences 2011; 1(7): 1440-7.
  9. Dominick D, Juahir H, Latif MT, Zain SM, Aris AZ. Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmospheric Environment 2012; 60(0): 172-81.
  10. Paoletti E, Bardelli T, Giovannini G, Pecchioli L. Air quality impact of an urban park over time. Procedia Environmental Sciences 2011; 4(0): 10-6.
  11. Alkasassbeh M, Sheta AF, Faris H, Turabieh H. Prediction of PM10 and TSP Air Pollution Parameters Using Artificial Neural Network Autoregressive, External Input Models: A Case Study in Salt, Jordan. Middle-East Journal of Scientific Research 2013; 14(7): 999-1009.
  12. D'Amato G, Cecchi L, D'Amato M, Annesi-Maesano I. Climate change and respiratory diseases. Eur Respir Rev 2014; 23(132): 161-9.
  13. Venegas LE, Mazzeo NA. Modelling of urban background pollution in Buenos Aires City (Argentina). Environmental Modelling & Software 2006; 21(4): 577-86.
  14. Habeebullah TM. An investigation of the effects of meteorology on air pollution in makkah. Ass Univ Bull Environ Res 2013; 16(1): 63-85.
  15. Stamatelos ZO. Analysis of Data From Ambient PM10 Concentration Monitoring in Volos in the Period 2005-2010 . American Journal of Environmental Engineering 2012; 2(4): 97-108.
  16. Marcazzan GM, Vaccaro S, Valli G, Vecchi R. Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy). Atmospheric Environment 2001; 35(27): 4639-50.
  17. Al-Awadhi J. Measurement of Air Pollution in Kuwait City Using Passive Samplers. Atmospheric and Climate Sciences 2014; 4(2): 253-71.
  18. Jo WK, Park JH. Characteristics of roadside air pollution in Korean metropolitan city (Daegu) over last 5 to 6 years: temporal variations, standard exceedances, and dependence on meteorological conditions. Chemosphere 2005; 59(11): 1557-73.
  19. Shariepour Z. Seasonal and daily variation of air pollutants and their relation to meteorological parameters. Journal of the Earth and Space Physics 2009; 35(2): 119-37. [In Persian].
  20. North Carolina Department of Environment and Natural resources. Division of Air Quality [Online]. [cited 2008 Jun 8]; Available from: URL:
  21. http://daq.state.nc.us/airaware/forecast/pm_codecalc.shtml
  22. US EPA Scale convertor. AQI calculator [Online]. [cited 2015 Feb 02]; Available from: URL: http://aqicn.org/calculator
  23. Sissakian V, Al-Ansari NS. Sand and dust storm
  24. events in Iraq. Natural Science ed. 2015.
  25. Earth System Research Laboratory. PSD Map Room Climate Products [Online]. [cited 2015 May 22]; Available from: URL:
  26. http://www.esrl.noaa.gov/psd/map/clim/gsdm.composites.shtml
  27. Cuhadaroglu B, Demirci E. Influence of some meteorological factors on air pollution in Trabzon city. Energy and Buildings 1997; 25(3): 179-84.
  28. Duenas C, Fernandez MC, Canete S, Carretero J, Liger E. Assessment of ozone variations and meteorological effects in an urban area in the Mediterranean Coast. Sci Total Environ 2002; 299(1-3): 97-113.
  29. Elminir HK. Dependence of urban air pollutants on meteorology. Sci Total Environ 2005; 350(1-3): 225-37.
  30. Grinn-Gofron A, Strzelczak A, Wolski T. The relationships between air pollutants, meteorological parameters and concentration of airborne fungal spores. Environ Pollut 2011; 159(2): 602-8.
  31. Carreras HA, Pignata ML. Comparison among air pollutants, meteorological conditions and some chemical parameters in the transplanted lichen Usnea amblyoclada. Environ Pollut 2001; 111(1): 45-52.

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