气象与环境学报2025，Vol.41Issue(1)：50-57,8.DOI:10.3969/j.issn.1673-503X.2025.01.006
牡丹江市PM2.5输送路径及贡献源研究
PM2.5 transport pathway and contribution sources in Mudanjiang
摘要
Abstract
This study utilized atmospheric environmental monitoring data and routine meteorological data in Mu-danjiang,Heilongjiang province from 2014 to 2023,as well as global data assimilation system(GDAS)data pro-vided by the National Centers for Environmental Prediction in the United States,to analyze the characteristics of six major atmospheric pollutants and investigate the correlation between meteorological elements and PM2.5 concentra-tion.By combining methods such as the Hybrid Single-Particle Lagrangian Integrated Trajectory model(HYS-PLIT),Potential Source Contribution Function(PSCF),and Concentration Weighted Trajectory(CWT),the transport paths and contribution sources of PM2.5 during typical heavy air pollution periods were studied.The re-sults showed that among the pollution events in Mudanjiang over the past 10 years,days with excessive PM2.5 con-centration ocurred most frequently,making it the primary pollutant affecting the atmospheric environment quality.Particularly,from 2014 to 2017,PM2.5 pollution occurred frequently,lasted for a long time,and was usually severe.Backward trajectory analysis indicated that the transport paths of PM2.5 pollution in the west and southwest direc-tions had a significant impact on atmospheric pollution in Mudanjiang.In the transport trajectories of typical heavy pollution events,long-distance trajectories accounted for 34.33%,with representing regions including the Mongoli-an Plateau and southern Siberia,while medium and short-distance trajectory accounted for 65.67%,with represen-ting regions such as Harbin,Changchun,and Yanbian Korean Autonomous Prefecture.Contribution source analysis revealed that pollution sources from old industrial cities in northern Liaoning province and Yanbian Prefecture in Jilin province contributed the most to PM2.5 concentration in Mudanjiang(WPSCF>0.9),and they were also the key contribution sources for PM2.5 concentration(WCWT>100).关键词
PM2.5/聚类轨迹/贡献源分析Key words
PM2.5/Clustering trajectories/Contribution source analysis分类
环境科学引用本文复制引用
于海军,张礼宝,赵玲,钟波..牡丹江市PM2.5输送路径及贡献源研究[J].气象与环境学报,2025,41(1):50-57,8.基金项目
黑龙江省重点研发计划项目(定向委托)(GA22C003)和中国气象局灾害天气复盘专项(FPZJ2024-036)共同资助. （定向委托）
