Research on Real-time Monitoring of Urban Air Quality Based on Optimal Scale and Factor Analysis

DOI

10.2991/iceep-18.2018.236How to use a DOI?

Keywords

Air quality; Optimal scale; Multivariate statistical analysis

Abstract

In this paper, based on the 190 monitored city data released by the China National Environmental Monitoring Center in 2018, the optimal scale and factor analysis methods were selected to conduct in-depth research and analysis of urban air quality. The study found that: PM2.5 has a serious impact on air quality, and PM10, ozone, SO2, and NO2 are important factors affecting air quality. At present, cities with good air quality include Sanya, Haikou, Zhanjiang, Maoming, Beihai, Zhuhai, Lhasa, Shenzhen, Heyuan, etc.; cities with severe air pollution include Texas, Tianjin, Zaozhuang, Linyi, Handan, Tangshan, and Hengshui. Finally, based on the conclusions of the study, we propose strategies for effective improvement and control of air pollution.

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  - Chun Chen
AU  - Xiang Gao
AU  - Qian Mou
PY  - 2018/09
DA  - 2018/09
TI  - Research on Real-time Monitoring of Urban Air Quality Based on Optimal Scale and Factor Analysis
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 1349
EP  - 1354
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.236
DO  - 10.2991/iceep-18.2018.236
ID  - Chen2018/09
ER  -