中文关键词细颗粒物后向轨迹聚类分析潜在源贡献因子(PSCF)浓度权重轨迹(CWT) 英文关键词PM_2.5backward trajectorycluster analysispotential source contribution function (PSCF)concentration-weighted trajectory (CWT)

作者	单位	E-mail
段时光	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	sh1guang777@163.com
姜楠	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	jiangn@zzu.edu.cn
杨留明	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001
张瑞芹	郑州大学化学与分子工程学院, 郑州 450001 郑州大学环境科学研究院, 郑州 450001	rqzhang@zzu.edu.cn

中文摘要 针对郑州市2017年12月~2018年2月的冬季气象数据和大气污染物质量浓度在线监测数据，分析了气象条件对颗粒物浓度的影响.通过混合型单粒子拉格朗日综合轨迹（HYSPLIT）方法模拟了郑州市冬季48 h的气流后向轨迹，同时进行了聚类分析，并使用潜在源贡献因子（PSCF）方法和浓度权重轨迹（CWT）方法分析了郑州市冬季PM_2.5的潜在污染来源和不同潜在源区对郑州市大气PM_2.5浓度的贡献.结果表明，低风速、高湿度和较少的降水是造成颗粒物污染严重的重要气象因素；超过60%的后向轨迹来自西北方向，其次是来自京津地区的轨迹占比为25.6%，而来自南边和东边的轨迹只占7.5%和6.1%，但对应着较高的PM_2.5浓度；郑州市冬季PM_2.5的潜在源区主要是北部的京津冀传输通道城市，包括焦作、开封、新乡、鹤壁、濮阳、安阳、邯郸和邢台，此外，相邻省份包括山西省、湖北省和安徽省部分区域对郑州市大气PM_2.5污染水平也有着较大的影响和贡献. 英文摘要 In this study, meteorological and air mass concentration data of Zhengzhou from December 2017 to February 2018 (winter) were used to quantify the influence of meteorological factors on the PM. The Hybrid Single-Particle Lagrangian Integrated Trajectory model was used to analyze the 48-hour backward trajectories and the cluster method was applied to classify the airflow backward trajectory. Moreover, the potential source contribution function and concentration-weighted trajectory analysis were applied to evaluate the transport pathways and sources of PM_2.5 in Zhengzhou. The results show that the heavy pollution in Zhengzhou during winter is mainly due to the low wind speed, high relative humidity, and low precipitation. The cluster analysis revealed that up to 60% of the back trajectories came from the northwest and 25.56% of the back trajectories came from the Beijing-Tianjin area. The airflow trajectories from the south and east account for 7.5% and 6.1% with higher PM_2.5 concentrations. The main potential sources of PM_2.5 in Zhengzhou during winter are located in Beijing-Tianjin-Hebei air pollution transmission channel cities including Jiaozuo, Kaifeng, Xinxiang, Hebi, Puyang, Anyang, Handan, and Xingtai. The adjacent provinces, including Shanxi, Hubei, and Anhui, also have great influence on the PM_2.5 in Zhengzhou.

PDF全文下载地址:

https://www.hjkx.ac.cn/hjkx/ch/reader/create_pdf.aspx?file_no=20190109&flag=1&journal_id=hjkx&year_id=2019