夏季干旱对大气污染物的影响与驱动因素  

Impact of summer drought on atmospheric pollutant concentrations and its driving factors

作　　者：蒋锋[1] 吴波 JIANG Feng;WU Bo(School of Statistics and Mathematics,Zhongnan University of Economics and Law,Wuhan 430073,China)

机构地区：[1]中南财经政法大学统计与数学学院,湖北武汉430073

出　　处：《中国环境科学》2024年第8期4260-4273,共14页China Environmental Science

基　　金：教育部人文社会科学研究基金项目(22YJAZH038)。

摘　　要：利用2022年1月~8月中国300个地级市大气污染物(PM_(2.5),PM_(10),NO_(2)和SO_(2))小时浓度数据及同期气象数据,研究夏季干旱对大气污染物的影响及其驱动因素.研究结果显示:干旱期间和正常期间长株潭城市群PM_(2.5),PM_(10),NO_(2)和SO_(2)浓度累积分布存在显著差异,且3个城市间同类污染物浓度的累积分布模式具有明显一致性.夏季干旱事件对PM_(2.5),PM_(10),NO_(2)和SO_(2)污染具有一定的抑制作用,其NO_(2)分别累积降低45.27μg/m^(3)(长沙),48.53μg/m^(3)(株洲)和13.40μg/m^(3)(湘潭);PM_(10)累积降低了56.30μg/m^(3)(长沙),55.68μg/m^(3)(株洲)和23.73μg/m^(3)(湘潭);PM_(2.5)分别累积降低了36.54μg/m^(3)(长沙),24.48μg/m^(3)(株洲)和37.52μg/m^(3)(湘潭);SO_(2)分别累积降低了2.19μg/m^(3)(长沙),18.51μg/m^(3)(株洲)和4.35μg/m^(3)(湘潭).干旱通过气温,气压,风速和相对湿度4个驱动因素来降低PM_(2.5),PM_(10),NO_(2)和SO_(2)浓度.Based on the hourly concentrations of PM_(2.5),PM_(10),NO_(2) and SO_(2)(January to August,2022)and the meteorological data in 300 prefecture-level cities in China,the influence of summer drought on air pollutants and the driving factors were studied.The findings revealed significant disparities in the cumulative distribution of PM_(2.5),PM_(10),NO_(2),and SO_(2) concentrations in the Changsha-Zhuzhou-Xiangtan urban agglomeration between drought and normal periods.The cumulative distribution patterns of pollutant concentrations in the cities within the urban agglomeration remained notably consistent.Summer drought was shown to suppress pollution levels of PM_(2.5),PM_(10),NO_(2),and SO_(2).Specifically,reductions in NO_(2) concentrations were observed at 45.27μg/m^(3)(Changsha),48.53μg/m^(3)(Zhuzhou),and 13.40μg/m^(3)(Xiangtan);PM_(10) at 56.30μg/m^(3)(Changsha),55.68μg/m^(3)(Zhuzhou),and 23.73μg/m^(3)(Xiangtan);PM_(2.5) at 36.54μg/m^(3)(Changsha),24.48μg/m^(3)(Zhuzhou),and 37.52μg/m^(3)(Xiangtan);and SO_(2) at 2.19μg/m^(3)(Changsha),18.51μg/m^(3)(Zhuzhou),and 4.35μg/m^(3)(Xiangtan).The study demonstrated that drought could lead to reduced concentrations of PM_(2.5),PM_(10),NO_(2),and SO_(2) through driving factors such as temperature,atmospheric pressure,wind speed and relative humidity.This research extended the understanding of the impact of drought on air pollution and provided new insights for advancing pollution prevention and control under conditions of extreme weather.

关 键 词：干旱事件 累积分布 增强合成控制法 中介效应模型 

分 类 号：X513[环境科学与工程—环境工程]