摘要
利用拉格朗日混合单粒子轨道(hybrid single particle Lagrangian integrated trajectory,HYSPLIT)后向轨迹模式和全球资料同化系统(global data assimilation system,GDAS)气象数据(2016年3月1日—2017年2月28日),对抵达蚌埠市的逐小时3 d气流后向轨迹按季节聚类,并结合PM2.5质量浓度观测数据,分析不同输送途径的空间特征及其对蚌埠市PM2.5聚集的贡献。利用潜在源贡献因子(potential source contribution function,PSCF)和浓度权重轨迹(concentration weighted trajectory,CWT)分析方法,揭示了研究期内蚌埠市不同季节PM2.5的潜在源区分布及其贡献特性。结果表明:蚌埠市PM2.5输送途径的季节特征明显,气流输送轨迹除秋季的西北长轨迹气流对应的ρ(PM2.5)较高外,其他中、长轨迹所对应的ρ(PM2.5)均比短轨迹低。不同输送途径对蚌埠市PM2.5的贡献差异显著,春季主要贡献区集中在鲁东、江苏全境、安徽全境、豫东、赣北、浙北及黄海海域;夏季主要贡献区整体向南延伸,贡献区集中在苏南、皖西、皖北、赣北和黄海海域;秋季主要贡献区整体向西北延伸,皖北、苏北的贡献度最大;冬季主要贡献区整体向北延伸,贡献源空间形态与秋季相似,皖北、苏北、山东地区的贡献增大,环首都圈的天津、唐山、冀南的贡献也十分突出。
Both hybrid single particle Lagrangian integrated trajectory(HYSPLIT)backward trajectory mode and global data assimilation system(GDAS)meteorological data were used to analyze the three-day backward trajectories of hourly airflow in Bengbu City from March 1st,2016 to February 28th,2017.Clustering analysis was used to classify the airflow backward trajectories of Bengbu City in different seasons.The hourly ground PM2.5 observations were also used to analyze the spatial characteristics of different transport pathways and its contribution to the PM2.5 concentration in Bengbu City.Potential source contribution function(PSCF)and concentration weighted trajectory(CWT)were applied to identifying the potential source-zones(PSZs)and its contribution to Bengbu City PM2.5 in different seasons during the study period.The results show that the seasonal characteristics of the PM2.5 transport route in Bengbu City are obvious.The airflow transport trajectory has a higher value ofρ(PM2.5)corresponding to the northwest long track airflow in autumn,theρ(PM2.5)values corresponding to other medium and long trajectories are lower than those to the short trajectories.There are significant differences in the contribution of different transport routes to the PM2.5 in Bengbu City,in the spring,it is mainly located in eastern Shandong,Jiangsu,Anhui,eastern Henan,northern Jiangxi,northern Zhejiang and the Yellow Sea;in the summer,main contribution area extends to the south,it is mainly located in southern Jiangsu,western and northern Anhui,northern Jiangxi and the Yellow Sea;in the autumn,the main contribution area extends to the northwest,and the contributions of northern Anhui and northern Jiangsu are the largest;in the winter,the main contribution area extends northward,and the spatial pattern of the contribution source is similar to that of autumn,the contributions of northern Anhui,northern Jiangsu and Shandong increase,the contributions of Tianjin,Tangshan and southern Hebei in the metropolitan area are also outstanding.
作者
沈素婷
易明建
戴海夏
汪家权
SHEN Suting;YI Mingjian;DAI Haixia;WANG Jiaquan(School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;Anhui Academy of Environmental Sciences,Hefei 230000,China;Shanghai Academy of Environmental Sciences,Shanghai 200233,China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2020年第4期543-551,共9页
Journal of Hefei University of Technology：Natural Science
基金
国家重点研发计划资助项目(2016YFC0207506)
安徽省环境保护科研资助项目(2017-01)
安徽省重点研究与开发计划资助项目(1804a0802196)。
