Search

In order to increase the visibility and contrast effect of air pollutants, and more visually demonstrate the impact of the meteorological characteristics on the air pollutants concentrations, this paper firstly conducts a periodical analysis of PM2.5 pollutant concentration in Ningbo. The data are obtained by the extracting the seasonal variations of PM2.5 pollutant concentration. Secondly, a reliability lest on Ningbo meteorological data and air pollution data is carried out. The results show that the confidence interval is over 90% . Thirdly, the paper analyzes the data concerning the wind power and direction in Ningbo, using Python language to conduct a polar coordinate transformation, and also an analyzes the visibility test on wind power and direction. Finally, by using Python language, a demonstration of the PM2.5, PM10, SO2, NO2, O3 and CO concentrations through the 3D coordinate system has been completed. After the four steps, we conclude that through reliability test, polar coordinative transformation, frequency comparison, by directly using the air and meteorological data, visibility contrast and correlation analysis could be positively completed. [ABSTRACT FROM AUTHOR]