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Lifescience Global :: Abstract : Analysis of Variability of Atmospheric Pollutants in Ambient Air of Metropolitan City Karachi, and Environmental Sustainability

机译:全球生命科学::摘要:大城市卡拉奇周围空气中大气污染物的变异性与环境可持续性分析

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 It is well known that, air pollution is a composite phenomenon and intense air pollution events are governed by huge number of consistent factors. In this study, we considered the pollutant parameter (NO2, NO, NOx and CO) concentrations and were measured simultaneously during the period 21/11/2009 to 27/02/2010 in city of Karachi. The estimations were carried out to study the variability of pollutant emissions. Time Series analysis confirms the existence of variation in pollutant with mean daily concentration and the results suggest that the concentrations of pollutant over the interval are slowly declined. The relationships NO2 with NOx, NO with NOx and NO2 vs. CO were modeled with linear regression. The results of the linear regression detected underlying strong relationships among pollutant variables. The application of the regression approach confirmed that the NO2 strongly correlated with other paired pollutants. The study will be helpful to the policy makers to control air pollution and the sustainable environment. It also needs to extend this research to study the nonlinear behavior of atmospheric pollutants in perspective of fractal dimension.
机译:众所周知,空气污染是一种综合现象,强烈的空气污染事件受众多一致因素的支配。在这项研究中,我们考虑了污染物参数(NO2,NO,NOx和CO)浓度,并在2009年11月11日至2010年2月27日在卡拉奇市同时进行了测量。进行估计以研究污染物排放的变化性。时间序列分析证实了污染物的平均日浓度存在变化,结果表明该时间间隔内污染物的浓度缓慢下降。用线性回归对NO2与NOx的关系,NO与NOx的关系以及NO2与CO的关系进行建模。线性回归的结果检测出污染物变量之间的潜在强相关性。回归方法的应用证实了NO2与其他成对污染物高度相关。该研究将有助于决策者控制空气污染和可持续环境。从分形维数的角度研究大气污染物的非线性行为也需要扩大研究范围。

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