Wu Bo, Jiang Feng, Long Keliang, Zhang Jiao, Liu Chunqiong, Shi Kai
School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China.
School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, China.
Sci Total Environ. 2025 Jan 10;959:178309. doi: 10.1016/j.scitotenv.2024.178309. Epub 2024 Dec 31.
With the impact of global climate change, drought events are becoming more frequent, making it critically important to quantitatively evaluate the effects of these events on air pollution. This study uses the augmented synthetic control method and the mediation effect model to quantitatively evaluate the impact effect of the winter-spring drought of 2023 on PM-O compound pollution and its driving factors with Chinese prefecture-level city data. This study indicates that: firstly, compared to non-drought periods, both the monthly averaged and diurnal variations pattern of PM and O significantly increased during drought periods. Secondly, the winter-spring drought of 2023 led to an average increase of 101.05 μg/m(28.14 %) for PM and 153.74 μg/m(13.32 %) for O in Yunnan Province, while the average increases in Guizhou Province were 25.71 μg/m(11.59 %) and 23.95 μg/m(4.09 %), respectively. Thirdly, the increase in temperature and the decrease in precipitation and relative humidity during the winter-spring drought were among the main driving factors for the increased risk of "double-high" PM-O compound pollution. The article expands the research on the impact of abnormal weather events on atmospheric compound pollution, providing new insights for preventing compound pollution events in the context of abnormal weather.
随着全球气候变化的影响,干旱事件愈发频繁,定量评估这些事件对空气污染的影响变得至关重要。本研究运用增强合成控制法和中介效应模型,利用中国地级市数据定量评估2023年冬春干旱对PM-O复合污染的影响效应及其驱动因素。本研究表明:其一,与非干旱时期相比,干旱时期PM和O的月均值及日变化模式均显著增加。其二,2023年冬春干旱致使云南省PM平均增加101.05μg/m(28.14%),O平均增加153.74μg/m(13.32%),而贵州省PM平均增加25.71μg/m(11.59%),O平均增加23.95μg/m(4.09%)。其三,冬春干旱期间温度升高、降水和相对湿度降低是“双高”PM-O复合污染风险增加的主要驱动因素之一。本文拓展了异常天气事件对大气复合污染影响的研究,为在异常天气背景下预防复合污染事件提供了新的见解。