摘要
利用ERA5再分析资料和中国地面空气质量数据,采用PCT(Principal Component Analysis in T-mode)方法对2014-2020年河南省出现污染的天气形势进行天气分型,并选取重污染过程进行后向轨迹聚类分析。结果表明:每年11月至次年2月是河南省污染最为严重的时期;根据地面气压场可将河南省出现污染的天气形势分为均压场型、东部高压型、冷空气扩散型和强冷空气型四种类型,均压场型(1型)传输路径短,传输范围小,有利于本地污染物累积;东部高压型(2型)以偏东、偏南传输路径为主,有利于污染物由南向北输送至河南;冷空气扩散型(3型)和强冷空气型(4型)均以偏北传输路径为主,有利于污染物由北向南输送至河南,但强冷空气型较冷空气扩散型传输路径更长。
By using the ERA5 reanalysis data and the surface air quality data of China,the PCT(principal component analysis in T-mode)method was used to classify the weather situation in relation to air pollution in Henan province from 2014 to 2020,and the heavy pollution process was selected for backward trajectory cluster analysis.The results show that November to February of the following year is the most serious period of pollution in Henan province.According to the surface pressure field,the weather situation of pollution in Henan province can be divided into four types:the pressure field type(type 1),the eastern high pressure type(type 2),the cold air diffusion type(type 3)and the strong cold air type(type 4).The type 1 has a short transmission path and a small transmission range,which is conducive to the accumulation of local pollutants.The transmission path of type 2 is dominated by the easterly and southerly transmission paths,which is conducive to the transportation of pollutants from south to north to Henan.Both the type 3 and the type 4 are dominated by northerly transmission path,which are conducive to the transportation of pollutants from north to south to Henan.But type 4 has longer transmission path than the cold air diffusion type.
作者
白婷
田万顺
丁建芳
田力
BAI Ting;TIAN Wanshun;DING Jianfang;TIAN Li(China Meteorological Administration·Henan key Laboratory of Agrometeorological Safeguard Application Technique,Zhengzhou 450003;Weather Modification Center of Henan Province,Zhengzhou 450003;Henan Meteorological Observatory,Zhengzhou 450003,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2022年第12期81-88,共8页
Journal of Arid Land Resources and Environment
基金
河南省科技攻关计划(202102310423)
中国气象局河南省农业气象保障与应用技术重点实验室应用技术研究基金项目(KP202136)资助。
关键词
PCT
后向轨迹
聚类分析
传输路径
PCT
backward trajectory
cluster analysis
transmission path
