Correlation Analysis of Main Pollutant Concentration-A Case Study of Zhengzhou
Abstract
Air pollution is one of the main problems to be solved in the sustainable development of China's economy, its main pollution components include PM2.5, PM10, SO2, NO2, CO and O3, the pollution component governance is an effective means of atmospheric environmental management. Based on the monitor data of six main pollutant concentrations in Zhengzhou from 2015 to 2018, this paper analyzes the correlation characteristics between their concentrations by using correlation analysis, the multiple correlation characteristics of the one pollutant concentration with the other five pollutant concentrations by using multiple correlation analysis, the independent linear interpretation ratio between the six pollutant concentrations by using partial correlation analysis, at last, a pollutant independent emission index is defined to describe the independent emission level of one pollutant, then utilize the index to study the distribution characteristics of six main pollution concentrations in the study period in Zhengzhou. The results show that there is a significant correlation between the six pollutant concentrations. PM2.5, O3 and PM10 are the primary pollutants in Zhengzhou, the PM2.5 concentration is controlled by PM10 concentration and CO concentration, similarly, the PM10 concentration is controlled by PM2.5 concentration. In the polluted weather, O3 has the highest level of independent emissions. The main task of Zhengzhou in pollutant composition governance is to control the emission of PM2.5 and O3.
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