汪蕊,丁建丽,马雯,张钧泳,韩礼敬.基于PSCF与CWT模型的乌鲁木齐市大气颗粒物源区分析[J].环境科学学报,2021,41(8):3033-3042
基于PSCF与CWT模型的乌鲁木齐市大气颗粒物源区分析
- Analysis of atmospheric particulates source in Urumqi based on PSCF and CWT models
- 基金项目：国家自然科学基金（No.41771470，41961059）
- 汪蕊
- 1. 新疆大学资源与环境科学学院, 智慧城市与环境建模自治区普通高校重点实验室, 乌鲁木齐 830046;2. 新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
- 丁建丽
- 1. 新疆大学资源与环境科学学院, 智慧城市与环境建模自治区普通高校重点实验室, 乌鲁木齐 830046;2. 新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
- 马雯
- 1. 新疆大学资源与环境科学学院, 智慧城市与环境建模自治区普通高校重点实验室, 乌鲁木齐 830046;2. 新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
- 张钧泳
- 1. 新疆大学资源与环境科学学院, 智慧城市与环境建模自治区普通高校重点实验室, 乌鲁木齐 830046;2. 新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
- 韩礼敬
- 1. 新疆大学资源与环境科学学院, 智慧城市与环境建模自治区普通高校重点实验室, 乌鲁木齐 830046;2. 新疆大学绿洲生态教育部重点实验室, 乌鲁木齐 830046
- 摘要：利用MeteoInfoMap软件和GDAS全球同化气象数据，对乌鲁木齐市2014—2019年四季72 h气团后向轨迹进行聚类分析.同时，结合小时PM2.5和PM10浓度数据，运用潜在源贡献因子分析法（PSCF）和浓度权重轨迹分析法（CWT）分析了乌鲁木齐市颗粒物不同季节潜在源区及其对研究区颗粒物浓度的贡献.结果表明：①影响乌鲁木齐市大气质量的气团轨迹可分为长、短两支，短支气流主要来自研究区及周边城市，对研究区颗粒物浓度贡献大；②长支气流输送距离较远，主要来自哈萨克斯坦、俄罗斯等国家，对研究区颗粒物浓度贡献小；③影响乌鲁木齐市PM2.5浓度的主要潜在源区是吐鲁番地区、巴音郭楞蒙古自治州、伊宁市和阿克苏地区；④潜在源区分布呈现显著季节变化特征，冬季潜在源区分布广、贡献度高，而夏季源区分布狭窄、贡献度低，春季和秋季源区分布与贡献特征介于两者之间.
- Abstract：This work used the MeteoInfoMap software and the global data assimilation system (GDAS), the 72-hour backward trajectories in different seasons were assessed by cluster analysis in Urumqi during the period of 2014—2019.combined with hourly PM2.5 and PM10 concentration data, the seasonal potential source regions and the contribution of different source regions to the particle concentrations in Urumqi analyzed by the potential source contributing factor analysis method(PSCF) and concentration weight trajectory analysis method(CWT). The results showed that the air masses trajectories that affecting the air quality in Urumqi can be divided into long and short branches. ①The short-branch airflow contributes significantly to the particulate matter concentrations in the study area, mainly originating from the Urumqi and surrounding areas. ②The long-branch airflow are transported over longer distances, mainly from Kazakhstan, Russia and other countries, which contribute little to the particulate matter mass concentrations in the study area. ③The main potential source areas affecting PM2.5 concentrations in Urumqi are the Turpan, Bayingol Mongolian Autonomous Prefecture, Yining City and Aksu. ④The distribution of potential source areas shows significant seasonal variation, with a wide distribution and high contribution of potential source areas in winter, and a narrow distribution and low contribution of source areas in summer, and in-between distribution and contribution characteristics of source areas in spring and autumn.
