Factors impacting the regional air quality in the Guangdong-Hong Kong-Macao Greater Bay Area: A study based on grey relational analysis

ZHAN Shexia; KUANG Yaoqiu; RUAN Zhu

doi:10.16511/j.cnki.qhdxxb.2018.26.031

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Journal of Tsinghua University(Science and Technology) ›› 2018, Vol. 58 ›› Issue (8) : 761-767. DOI: 10.16511/j.cnki.qhdxxb.2018.26.031

ENVIRONMENTAL SCIENCE AND ENGINEERING

Factors impacting the regional air quality in the Guangdong-Hong Kong-Macao Greater Bay Area: A study based on grey relational analysis

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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.

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air quality / Guangdong-Hong Kong-Macao Greater Bay Area / grey relational analysis / influence factors of pollutants

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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[J]. Journal of Tsinghua University(Science and Technology). 2018, 58(8): 761-767 https://doi.org/10.16511/j.cnki.qhdxxb.2018.26.031

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