How to Understand PM2.5

DOI

10.2991/emcpe-16.2016.90How to use a DOI?

Keywords

PM2.5, multiple linear regression, principal component analysis

Abstract

In view of the factors that affect PM2.5, we set up two models. Multiple linear regression models were used in the establishment of internal factors. Consider that there are too many external factors, we adopt the dimension reduction method, using the principal component analysis method. Through the internal analysis, we found that CO is the main factor that affects the value of PM2.5. Through the external analysis, we found that rainfall is the main factor affecting the value of PM2.5.

Copyright

© 2016, 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  - Bowen Wei
PY  - 2016/08
DA  - 2016/08
TI  - How to Understand PM2.5
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.90
DO  - 10.2991/emcpe-16.2016.90
ID  - Wei2016/08
ER  -