Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics

How to Understand PM2.5

Authors
Bowen Wei
Corresponding Author
Bowen Wei
Available Online August 2016.
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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Volume Title
Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-197-1
ISSN
2352-5401
DOI
10.2991/emcpe-16.2016.90How to use a DOI?
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/).

Cite this article

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  -