The Exploratory Study About The Correlation Of PM2.5

In2013,"haze" has become the annual keywords. It has also become one of thetopics people are most concerned about. This year, the air quality situation deteriorateda lot. Haze shrouded in China. The concentration of PM2.5is very high in many places.In74cities, only three cities’ air quality up to standard. In China,95.9%of medium-sizedcities’ PM2.5seriously overweight. Capital Beijing just have five days of good airquality in January. Respiratory disease cases associated with the air quality significantlyincreased around. The ridicule of type of "Moral carrying fog, efforts and don’t suck"reflects a deep "air of anxiety."In this article, firstly we will explore the basis of correlation analysis andregression analysis for environmental quality daily data of Xi’an in2013. Then, weintroduce the time effects and make time series analysis for environmental quality dailydata of Xi’an in2013. Finally, we will divide into13areas. We also consider the effectsof time and space, and establish the panel models. Ultimately, we can find therelationship between PM2.5and other factors. We built models to study by SASsoftware. With the influence of factors increases, the fitting of model become better. Thecoefficient of determination, that is, R2upgrade from0.75in the initially linear model to0.93in the panel model. This shows that the effect of fitting is satisfactory. Theindependent variables into the model have high explained proportion of variance to thedependent variable PM2.5. And the results of the models match the actual situations.