Abstract. The summertime air pollution events endangering public
health in the Guangdong–Hong Kong–Macao Greater Bay Area are connected
with typhoons. The wind of the typhoon periphery results in poor diffusion
conditions and favorable conditions for transboundary air pollution. Random
forest models are established to predict typhoon-associated air quality in
the area. The correlation coefficients and the root mean square errors in
the air quality index (AQI) and PM2.5, PM10, SO2, NO2
and O3 concentrations are 0.84 (14.88), 0.86 (10.31 µg m−3), 0.84 (17.03 µg m−3), 0.51 (8.13 µg m−3), 0.80 (13.64 µg m−3) and 0.89 (22.43 µg m−3), respectively.
Additionally, the prediction models for non-typhoon days are established.
According to the feature importance output of the models, the differences in
the meteorological drivers of typhoon days and non-typhoon days are
revealed. On typhoon days, the air quality is dominated by local source
emission and accumulation as the sink of pollutants reduces significantly
under stagnant weather, while it is dominated by the transportation and scavenging effect of sea breeze on non-typhoon days. Therefore, our findings suggest that
different air pollution control strategies for typhoon days and non-typhoon
days should be proposed.
Abstract. The summertime air pollution events endangering public health in the Guangdong–Hong Kong–Macao Greater Bay Area are connected with typhoons. The wind of the typhoon periphery results in poor diffusion conditions and favorable conditions for transboundary air pollution. Random Forest models are established to predict typhoon-associated air quality in the area. The correlation coefficients and the root-mean-square errors of the air quality index (AQI) and PM2.5, PM10, SO2, NO2 and O3 concentrations are 0.84 (14.88), 0.86 (10.31 µg/m3), 0.84 (17.03 µg/m3), 0.51 (8.13 µg/m3), 0.80 (13.64 µg/m3) and 0.89 (22.43 µg/m3), respectively. Additionally, the prediction models for non-typhoon days are established. According to the feature importance output of the models, the differences in the meteorological drivers of typhoon days and non-typhoon days are revealed. On typhoon days, the air quality is dominated by local source emission and accumulation as the sink of pollutants reduces significantly under stagnant weather, while by the transportation and scavenging effect of sea breeze on non-typhoon days. Therefore, our findings suggest that different air pollution control strategies for typhoon days and non-typhoon days should be proposed.
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