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Studies on Interrelations among SO2, NO2 and PM10 Concentrations and Their Predictions in Ambient Air in Kolkata

机译:加尔各答环境空气中SO2,NO2和PM10浓度之间的相互关系及其预测研究

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In this paper we have first of all studied the interrelations among the concentrations of SO2, NO2 and PM10 and then predicted their future level of concentrations in the ambient air of Kolkata. The data collected from West Bengal Pollution Control Board website have been used to construct second degree, third degree and four degree polynomial equations using MATLAB software. Since a curve in a small interval can be approximated by a line segment in that small interval, we have observed that better result can be achieved if we replace the curves piece meal wise in small intervals by line segments during January-April, May-August and September-December months. The multiple regression equations among the aforesaid three parameters have been established to predict the value of each parameter in terms of the remaining two. A further improvement in terms of reducing the number of dependent variables has been made using the results of correlation coefficients. Finally, we have predicted the value of each parameter in terms of only one dependent variable.
机译:在本文中,我们首先研究了SO2,NO2和PM10浓度之间的相互关系,然后预测了它们在加尔各答周围空气中的未来浓度水平。从西孟加拉邦污染控制委员会网站收集的数据已用于使用MATLAB软件构造二级,三级和四级多项式方程。由于在一个较小的时间间隔内可以通过一个线段近似一个较小的时间间隔的曲线,因此我们观察到,如果在一月至四月,五月至八月期间以较小的时间间隔逐条逐段替换曲线,则可以得到更好的结果和9月至12月。已经建立了上述三个参数之间的多元回归方程,以根据其余两个参数来预测每个参数的值。使用相关系数的结果,在减少因变量的数量方面进行了进一步的改进。最后,我们仅根据一个因变量来预测每个参数的值。

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