Factors impacting the regional air quality in the Guangdong-Hong Kong-Macao Greater Bay Area: A study based on grey relational analysis
ZHAN Shexia1,2, KUANG Yaoqiu1, RUAN Zhu1,2
1. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：This study investigates the temporal and spatial variations of air pollutants in the Guangdong-Hong Kong-Macao Greater Bay Area during 2006-2016 based on the Guangdong-Hong Kong-Macao Pearl River Delta Regional Air Quality Monitoring Network data to identify the key factors affecting the pollutants. The correlation between social-economic factors and the pollutant concentrations is also analyzed using a grey relational analysis. The air quality monitoring results showed that the average annual concentrations of SO2, NO2 and PM10 generally decreased over the study period while the average monthly concentrations had U-shaped curves. However, the average annual O3 concentration increased dramatically with its monthly variations having M-shape curves during each year. The results indicate that industry, energy consumption, population and environmental management are the main factors affecting the air quality in the Greater Bay Area. Thus, the main pathways for improving the air quality in the Greater Bay Area are tough industrial pollution regulations, reduced energy consumption and strengthened vehicle emission control measures.
湛社霞, 匡耀求, 阮柱. 基于灰色关联度的粤港澳大湾区空气质量影响因素分析[J]. 清华大学学报（自然科学版）, 2018, 58(8): 761-767.
ZHAN Shexia, KUANG Yaoqiu, RUAN Zhu. Factors impacting the regional air quality in the Guangdong-Hong Kong-Macao Greater Bay Area: A study based on grey relational analysis. Journal of Tsinghua University(Science and Technology), 2018, 58(8): 761-767.
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2018, Vol. 58 
