EAS Publisher | Using Three Order Spline Interpolation Method to Research PM2.5 Pollution

Using Three Order Spline Interpolation Method to Research PM2.5 Pollution

DOI : https://doi.org/10.36349/easjals.2020.v03i02.004

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This thesis mains focus on current situation of the PM2.5 pollution,the content of pollutants,the change of the content of PM2.5.Firstly,I use three cubic spline interpolation method to simulate a set of missing data with MATLAB,according to the data of the content of PM2.5 of Beijing in 2015 March.Secondly,I further analyze the degree of PM2.5 pollution with the quality standard of Chinese air pollution degree index system,On the basic of previous data.The results shows that contamination index of the selected data is severe pollution.Finally,I find The wind speed,Temperature and Rainfall are main factor influencing the content of PM2.5 according to detailed analysis on factors influencing PM2.5.Furthermore Vehicle exhaust emissions,The increase use of coal,High emission in high emission enterprises also the factors influencing haze.

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Dr. Afroza Begum

Lecturer, Dept. of Pharmacology and Therapeutics, Shaheed Monsur Ali Medical College & Hospital, Uttara, Dhaka-1230, Bangladesh

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