Beijing-Tianjin-Hebei Region Air Pollution Analysis

DOI

10.2991/emcpe-16.2016.77How to use a DOI?

Keywords

Principal component analysis; clustering analysis; partial least squares regression; multiple regressions.

Abstract

Aiming at air pollution in Beijing-Tianjin-Hebei region, this paper carries out modeling analysis, considering different season pollutant composition and regional distribution differences; a kind of effective approach that analyzed air pollution relationship in the region is determined. In order to simplify the model, pollutant diffusion model is simplified based on the principal component analysis and clustering analysis, the overall diffusion trend of pollutant are obtained by multiple regression analysis. This method has good universality and the results are consistent with reality.

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  - Weichen Yang
PY  - 2016/08
DA  - 2016/08
TI  - Beijing-Tianjin-Hebei Region Air Pollution Analysis
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-16.2016.77
DO  - 10.2991/emcpe-16.2016.77
ID  - Yang2016/08
ER  -