摘要
针对PM_(2.5)和O_(3)典型复合污染城市保定,利用PCT客观天气分型方法对秋冬季和春夏季京津冀地区的海平面气压场及10m风场进行天气分型,并通过后向轨迹(PSCF、CWT)及气象-空气质量模式(WRF-CAMx)对污染天气型下的PM_(2.5)与O_(3)进行来源解析,研究其贡献比例和传输路径,探究保定市重污染天气应对及不同天气型下复合污染防治策略.结果显示,保定市2019~2022年PM_(2.5)年平均浓度呈下降趋势,下降幅度为26.9%,O_(3)呈波动趋势,下降幅度仅为2.2%;月平均浓度呈现明显的季节性特点.秋冬季京津冀地区以高压场型为主,其中T5(东部高压后部,11.6%)、T6(鞍型场,11.6%)和T9(均压场,5.2%)是容易导致保定市PM_(2.5)污染的污染天气型;春夏季以低压场为主,易导致保定市O_(3)污染的天气类型为S3(均压场,12.9%)和S7(西北部低压后部,16.8%);在PM_(2.5)污染天气型下,保定市的PM_(2.5)来源贡献均以本地排放为主.T5(东部高压后部)中保定市的PM_(2.5)其他贡献区域主要以邯郸、石家庄等西南路径为主;T6(鞍型场)中其他贡献区域主要以山西省和石家庄等西南路径为主;T9(均压场)中其他贡献区域主要以山西省及内蒙古地区等西北路径为主.在O_(3)污染天气型下,保定市的O_(3)本地贡献最高.在S3(均压场)下,其他地区贡献以保定周边城市传输影响为主;而S7(西北部低压后部)中其他地区贡献主要以河南省、邯郸、山西省、石家庄等西南路径输送为主.
The typical compound pollution of PM_(2.5)and O_(3)in Baoding City was investigated in this study.Objective weather classification of sea-level pressure and 10m wind fields in the Beijing-Tianjin-Hebei region during the autumn-winter and spring-summer seasons was conducted using the Principal Component T-mode(PCT)method.Backward trajectory analysis(PSCF,CWT)and meteorological-air quality modeling system(WRF-CAMx)were applied to identify the source contributions and transport pathways of PM_(2.5)and O_(3)under pollution-related weather types.From 2019 to 2022,the annual average PM_(2.5)concentration in Baoding showed a significant decline of 26.9%,whereas O_(3)exhibited a fluctuating trend with a slight reduction of only 2.2%,indicating limited improvement.Monthly average concentrations of both pollutants demonstrated pronounced seasonal patterns.In autumn and winter,high-pressure systems dominated,and weather types T5(eastern high-pressure rear,11.6%),T6(saddle-type,11.6%),and T9(isobaric field,5.2%)were most frequently associated with PM_(2.5)pollution events.In contrast,low-pressure systems prevailed in spring and summer,with weather types S3(isobaric field,12.9%)and S7(northwest low-pressure rear,16.8%)contributing notably to O_(3)pollution.Local emissions were identified as the dominant source of PM_(2.5)during pollution weather types.Under T5,additional contributions originated mainly from Handan and Shijiazhuang;under T6,from Shanxi Province and Shijiazhuang;and under T9,from Shanxi and Inner Mongolia.For O_(3)pollution,local sources accounted for the largest share.Under S3,transport from surrounding cities played a secondary role,whereas under S7,contributions from southwestern regions,including Henan,Handan,Shanxi,and Shijiazhuang,were more prominent.
作者
付兴宇
程水源
王传达
FU Xing-yu;CHENG Shui-yuan;WANG Chuan-da(Beijing Key Laboratory of Regional Air Pollution Control,College of Environmental Science and Engineering,Beijing University of Technology,Beijing 100124,China)
出处
《中国环境科学》
北大核心
2025年第7期3582-3592,共11页
China Environmental Science
基金
国家自然科学基金资助项目(52330002)。
作者简介
付兴宇(1999-),男,天津人,北京工业大学硕士研究生,主要从事大气污染防治及环境规划管理方面研究.发表论文1篇.1015789403@qq.com;程水源,责任作者,教授,bjutpaper@outlook.com。
