Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Comprehensive Evaluation of Environmental Pollution in Shandong Province Based on Principal Component and Cluster Analysis

Authors
Mingqing Zhao, Jinzhi Yue, Haimei Liu
Corresponding Author
Mingqing Zhao
Available Online January 2016.
DOI
10.2991/icca-16.2016.50How to use a DOI?
Keywords
Principal component analysis, Cluster analysis, Environmental pollution assessment
Abstract

By principal component analysis and cluster analysis, overall analysis and evaluation on environmental pollution situation in Shandong province is conducted.Studies show that Weifang, Linyi and Zibo’s pollution is serious, particularly in the sulfur dioxide emissions in the more serious aspects. Although Weihai, Rizhao and Dongying in sulfur dioxide and soot aspects slightly heavier than the other pollutants, the overall environmental situation is comparatively ideal in the province.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-154-4
ISSN
2352-538X
DOI
10.2991/icca-16.2016.50How 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  - Mingqing Zhao
AU  - Jinzhi Yue
AU  - Haimei Liu
PY  - 2016/01
DA  - 2016/01
TI  - Comprehensive Evaluation of Environmental Pollution in Shandong Province Based on Principal Component and Cluster Analysis
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 217
EP  - 220
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.50
DO  - 10.2991/icca-16.2016.50
ID  - Zhao2016/01
ER  -