Status and prediction of ozone as an air pollutant in Ahvaz City, Iran

Et, Al; Masoudi, M.

Status and prediction of ozone as an air pollutant in Ahvaz City, Iran

Authors

al et ¹
M. Masoudi ²

¹ 0

² 1*, E. Asadifard 2 and M. Rastegar 2

Abstract

In the present study, air quality analyses for ozone (O3) were conducted in Ahvaz, a city in the south of Iran. The measurements were taken from 2009 through 2010 in two different locations to prepare average data in the city. Relations between the air pollutant and some meteorological parameters were calculated statistically using the daily average data. The wind data (velocity, direction), relative humidity, temperature, sunshine hours, evaporation and rainfall were considered as independent variables. The relationships between concentration of pollutant and meteorological parameters were expressed by multiple linear and nonlinear regression equations for both annual and seasonal conditions using SPSS software. RMSE test showed that among different prediction model, stepwise model is the best option. The average concentrations were calculated for every 24 hours, each month and each season. Results showed that the highest concentration of ozone occurs generally in the afternoon, while the least concentration is found at the beginning of the morning. Monthly concentrations of ozone showed the highest value in August, while the least value was found in October. The seasonal concentrations showed the highest amounts in summer.

Keywords

References

Abdul-Wahab, S.A. &Al-Alawi, S.M. (2002)Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks. Environmental Modelling & Software17:219–228.Abdul-Wahab, S.A., Bakheit, C. S. &Al-Alawi, S.M. (2005)Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. EnvironmentalModelling&Software,20 :1263–1271.Asrari, E., Sen, P.N &Masoudi, M. (2007) Status of carbon mono oxide in Tehran City-Iran. Pollution Research,26 : 531-535.Chelani, A. B. (2001)Statistical modeling of ambient air pollutants in Delhi. Water, Air and Soil Pollution.1326: 315-331. Cunningham, W.P. &Cunningham, M.A. (2002) Principles of Environmental Science inquiry and applications. MxGraw Hill Company. Cuhadaroglu, B.&Demirci,E. (1997)influence of some meteorological factors on air pollution in Trabzon city. Energy and Buildings,25 :179–184.Guinness World Records (2013) Page 036 (Hardcover edition). ISBN 9781904994879.Ho, L.C. &Lin, W.Y. (1994) Semi-statistical model for evaluating the effects of source emissions and meteorological effects on daily average NOxconcentrations in South Taiwan. Atmospheric Environment. 37: 2051-2059. Lam,G.C.K,&Leong,D.Y.C (1997) Street level concentration of NOXand suspended particulate matter in Hong Kong. Atmospheric Environment,93: 1-11.Li, L., Qian, J., Ou, C.Q., Zhou, Y.X., Guo, C.&Guo, Y. (2014) Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001–2011. Environmental Pollution,190: 75-81.Kinnear, P.R. (2002) SPSS for windows made simple release 10. Psychology press.Mandal, S. (2000) Progressive decrease of air pollution level from west to east at Calcutta. Indian Journal of Environmental Protection.20: 6-10. Masoudi, M., Behzadi, F. &Sakhaei, M. (2014) Status and prediction of Ozone as an air pollutant in Tehran, Iran. Ecology Environment and Conservation. 20 :775-780.Sabah, A., Al-Rubiei, R. &Al-Shamsi, A. (2003)A statistical model for predicting carbon monoxide levels. International Journal of Environment and Pollution.19: 209-224.Sharma, B.K. (2001) An Introduction to environmental pollution. Krishna prakashan media (p) ltd.Yoo, J.M., Lee, Y.R., Kim, D., Jeong, M.J., Stockwell, W.R., Kundu, P.K., Oh, S.M., Shin, D.B. &Lee, S.J. (2014) New indices for wet scavenging of air pollutants (O3, CO, NO2, SO2, and PM10) by summertime rain. Atmospheric Environment,82: 226-237.