Author(s): MN Megeri and Keerthi Astagimath

Abstract: Rapid industrialization and population growth especially in the last decade have adversely affected urban climate, air quality and caused imbalances in the regional climate at large. There have been very few studies on the Concentration of Air Pollutants (SO2, NO2 and RSPM) in urban area. The distribution of air pollution parameters has an effect on the human health. In the present study, the concentration distributions of air pollution parameters were studied with respect to different seasons for one year (October 1, 2012 to September 30, 2013). The data collected for the study is from the Maharashtra Pollution Control Board (www. http://mpcb.gov.in) for Mumbai city specific to Bandra Station. Probability density functions (pdf) have been used in the analysis of the distribution of pollutant data for examining the frequency of high concentration events and also the “goodness-of-fit” of the probability density function, to the data, was evaluated, using Kolmogorov-Smirnov test. The evaluation was conducted for one year with respect to different seasons. The results of the study indicates that the best fit-distributions for air pollution parameters RSPM, SO2 and NO2 concentrations in Mumbai (Bandra) were extreme value, Weibull and Pearson V distributions for monsoon season. In winter and summer seasons the fit distributions were Weibull distribution for RSPM and NO2 and Beta Distribution for SO2. It concludes that the air pollution parameters studied (RSPM, SO2 and NO2) had the different statistical distributions with respect to seasons. The difference might be due to the different diffusion characteristics of individual pollutant in the air, and the interaction of diffusion characteristics and local geography, weather conditions in Mumbai (Bandra). The results can be further applied to prediction of air pollution parameters.

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