Analysis of Correlation Between PM2.5 and Major Pollutants by the Method of Path Analysis

DOI

10.2991/cecs-18.2018.9How to use a DOI?

Keywords

path analysis; PM2.5; direct influence; indirect influence; interaction.

Abstract

The air quality is poor in Xuchang city in winter. It often happens that severe and moderate pollution phenomenon. And the primary pollutant is PM2.5. The synergistic effects of SO2, NO2, PM10, CO, O3/1h, and O3/8h air pollutants on PM2.5 in winter were analyzed in this paper from the perspective of mathematical statistics using correlation analysis, principal component regression analysis and the path analysis method. The results showed that PM2.5 was positively correlated with SO2, NO2, PMl0 and CO, and negatively correlated with O3/1h and O3/8h. PM10 has the greatest effect on PM2.5, and is the main factor affecting the concentration of PM2.5. The direct effect of CO on PM2.5 is secondary, and it also has an important influence on the formation of PM2.5. The direct effects of O3/1h and O3/8h on PM2.5 were small, but the indirect effects of PM10 and CO on PM2.5 were greater.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenghua Wang
AU  - Zhihui Tian
PY  - 2018/07
DA  - 2018/07
TI  - Analysis of Correlation Between PM2.5 and Major Pollutants by the Method of Path Analysis
BT  - Proceedings of the 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018)
PB  - Atlantis Press
SP  - 44
EP  - 50
SN  - 2352-538X
UR  - https://doi.org/10.2991/cecs-18.2018.9
DO  - 10.2991/cecs-18.2018.9
ID  - Wang2018/07
ER  -