Abstract:The self-organizing map (SOM) analysis method was applied to conduct synoptic classification regarding surface ozone pollution in Pearl River Delta (PRD) using the meteorological reanalysis data (i.e., sea level pressure and u, v wind) in autumn from 2013 to 2017. The results showed that there were 7 synoptic types regarding O3 pollution, which were divided into severe, moderate and mild categories by the pollution degree, with the corresponding ratios of excessive-standard O3 being 32.3%, 12.0%, and 4.2%, respectively. Comparing the meteorological factors aggravating O3 pollution under different weather-types regarding O3 pollution between 2017 and 2016, the number of days with severe O3 pollution weather-type increased in autumn of 2017 relative to 2016. When the moderate pollution weather-type occurred, the local meteorological conditions became more unfavorable in 2017. The WRF-CAMx model was utilized to quantify the contribution of meteorological conditions by altering the meteorological inputs with fixed emissions, and the contribution of emissions was estimated by subtracting the meteorological contribution from the changes in observation. The results showed that the changes in meteorological conditions led to an increase of 29.8% in O3 concentrations, while the emission changes contributed to a decrease of 7.1%. The special O3 pollution prevention and control action was launched in autumn of 2017, and the O3 precursor control measures in PRD have effectively reduced the O3 concentration. The emission control has alleviated the enhancement of O3 pollution caused by the adverse meteorological conditions. Unfavorable weather conditions were the leading cause of the increase in O3 concentration in the autumn of 2017.
洪莹莹, 翁佳烽, 谭浩波, 沈劲. 珠江三角洲秋季典型O3污染的气象条件及贡献量化[J]. 中国环境科学, 2021, 41(1): 1-10.
HONG Ying-ying, WENG Jia-feng, TAN Hao-bo, SHEN Jin. Meteorological conditions and contribution quantification of typical ozone pollution during autumn in Pearl River Delta. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(1): 1-10.
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