Application of Fuzzy Synthetic Evaluation for the Air Quality Assessment in the Selected Cities of China
International Journal of Environmental Protection and Policy
Volume 6, Issue 2, March 2018, Pages: 50-55
Received: Jun. 20, 2018; Published: Jun. 21, 2018
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Authors
Linan Yu, Airborne Survey and Remote Sensing Center of Nuclear Industry, Shi Jiazhuang, China
Haiyang He, Airborne Survey and Remote Sensing Center of Nuclear Industry, Shi Jiazhuang, China
Guoming Zhang, Airborne Survey and Remote Sensing Center of Nuclear Industry, Shi Jiazhuang, China
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Abstract
In this research, the air quality of six selected cities in China are evaluated according to the air monitoring data. Air pollutants including SO2, NO2, PM10, PM2.5, CO and O3 are chose as air quality indicators and compared with the ambient air quality standards of China (GB3095-2012). Using the fuzzy theory, the fuzzy synthetic evaluation model are constructed, and the air quality of the six selected cities are evaluated. Results show that the air quality of Beijing, Tianjing, Taiyuan, Dalian, Wuhan and Kunming in the year of 2014 belong to the second level in the ambient air quality standards of China (GB3095-2012). The air quality of the cities also obey the order: Kunming > Dalian > Taiyuan > Beijing > Wuhan > Tianjing. It seems that PM2.5 and PM10 are the main pollutants in the atmosphere of the six selected cities. These results can help the environmental regulators to make the right policy in environmental management.
Keywords
Fuzzy Synthetic Evaluation, Air Quality Evaluation, Environmental Management
To cite this article
Linan Yu, Haiyang He, Guoming Zhang, Application of Fuzzy Synthetic Evaluation for the Air Quality Assessment in the Selected Cities of China, International Journal of Environmental Protection and Policy. Vol. 6, No. 2, 2018, pp. 50-55. doi: 10.11648/j.ijepp.20180602.15
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