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 SO 2, NO 2 and PM 10 generally decreased over the study period while the average monthly concentrations had U-shaped curves. However, the average annual O 3 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.
摘要 利用粤港澳珠江三角洲区域空气监控网络数据, 分析2006-2016年粤港澳大湾区空气污染物的时空变化, 探讨其影响因素。采用灰色关联度计算社会经济因素与珠三角、香港和澳门空气污染物浓度的关联度。结果表明：粤港澳大湾区内SO 2、NO 2和PM 10年平均浓度总体呈明显下降趋势, 月平均浓度呈U形变化趋势; O 3年平均浓度呈上升趋势, 月际变化呈M形趋势; 工业、能源消耗、人口、机动车数量和环境管理政策是影响区域空气质量的主要因素。强化联合防控, 严格管控工业污染、降低能源消耗和加强车辆管制, 是持续改善粤港澳大湾区空气质量的主要途径。