首页|夏季干旱对大气污染物的影响与驱动因素

夏季干旱对大气污染物的影响与驱动因素

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利用2022年1月~8月中国300个地级市大气污染物(PM2。5,PM10,NO2和SO2)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PM2。5,PM10,NO2和SO2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PM2。5,PM10,NO2和SO2污染具有一定的抑制作用,其NO2分别累积降低45。27μg/m3(长沙),48。53μg/m3(株洲)和 13。40μg/m3(湘潭);PM10 累积降低了56。30μg/m3(长沙),55。68μg/m3(株洲)和 23。73μg/m3(湘潭);PM2。5 分别累积降低了36。54μg/m3(长沙),24。48μg/m3(株洲)和37。52μg/m3(湘潭);SO2分别累积降低了2。19μg/m3(长沙),18。51μg/m3(株洲)和4。35μg/m3(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PM2。5,PM10,NO2和SO2浓度。
Impact of summer drought on atmospheric pollutant concentrations and its driving factors
Based on the hourly concentrations of PM2.5,PM10,NO2 and SO2(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 PM2.5,PM10,NO2,and SO2 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 PM2.5,PM10,NO2,and SO2.Specifically,reductions in NO2 concentrations were observed at 45.27μg/m3(Changsha),48.53μg/m3(Zhuzhou),and 13.40μg/m3(Xiangtan);PM10 at 56.30μg/m3(Changsha),55.68μg/m3(Zhuzhou),and 23.73μg/m3(Xiangtan);PM2.5 at 36.54μg/m3(Changsha),24.48μg/m3(Zhuzhou),and 37.52μg/m3(Xiangtan);and SO2 at 2.19μg/m3(Changsha),18.51μg/m3(Zhuzhou),and 4.35μg/m3(Xiangtan).The study demonstrated that drought could lead to reduced concentrations of PM2.5,PM10,NO2,and SO2 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.

drought eventcumulative distributionaugmented synthetic control methodmediation effect model

蒋锋、吴波

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中南财经政法大学统计与数学学院,湖北武汉 430073

干旱事件 累积分布 增强合成控制法 中介效应模型

教育部人文社会科学研究基金项目

22YJAZH038

2024

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
年,卷(期):2024.44(8)