中国环境科学
 
 
中国环境科学  2023, Vol. 43 Issue (1): 7-19    DOI:
大气污染与控制 最新目录| 下期目录| 过刊浏览| 高级检索 |
基于PMF的武汉市大气细颗粒物消光来源解析
夏瑞1,2, 谭健1,2, 汪琼琼3, 吴兑1,2, 孔少飞4,5, 陈楠5,6, 邓涛7, 陶丽萍1,2, 张雪1,2, 吴柏禧1,2, 吴良斌1,2, 王庆1,2, 吴晟1,2
1. 暨南大学质谱仪器与大气环境研究所, 广东省大气污染在线源解析系统工程技术研究中心, 广东 广州 510632;
2. 粤港澳环境质量协同创新联合实验室, 广东 广州 510632;
3. 香港科技大学化学系, 香港 999077;
4. 中国地质大学(武汉)环境学院, 湖北 武汉 430074;
5. 湖北省大气复合污染研究中心, 湖北 武汉 430074;
6. 湖北省生态环境监测中心站, 湖北 武汉 430074;
7. 中国气象局广州热带海洋气象研究所, 广东 广州 510640
PMF model based atmospheric aerosol light extinction budget source apportionment study in Wuhan.
XIA Rui1,2, TAN Jian1,2, WANG Qiong-qiong3, WU Dui1,2, KONG Shao-fei4,5, CHEN Nan5,6, DENG Tao7, TAO Li-ping1,2, ZHANG Xue1,2, WU Bo-xi1,2, WU Liang-bin1,2, WANG Qing1,2, WU Cheng1,2
1. Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China;
2. Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 510632, China;
3. Department of Chemistry, The Hong Kong University of Science and Technology, Hong Kong 999077, China;
4. Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan, 430078, China;
5. Research Centre for Complex Air Pollution of Hubei Province, Wuhan 430074, China;
6. Eco-Environmental Monitoring Centre of Hubei Province, Wuhan 430074, China;
7. Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, China

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摘要 利用武汉2020年7月(夏季)和10月(秋季)的在线观测数据,同时将颗粒物的光学参数和化学组分数据输入正定矩阵因子分解(PMF)源解析模型,对PM2.5消光系数的源贡献进行定量解析.研究发现,对吸收系数贡献较大的源为机动车(66.3%)和工业源(14.2%),对散射系数贡献较大的源为以硝酸盐为主的二次无机盐Ⅰ(38.4%)和机动车(27.0%),光散射的源贡献率呈现出明显的季节变化,二次无机盐Ⅰ在夏季(14.6%)的贡献较秋季(47.4%)显著降低.消光系数源贡献方面,夏季机动车(37.2%)和以硫酸盐为主的二次无机盐Ⅱ(21.2%)对消光的贡献较大,而秋季主要的消光源为二次无机盐Ⅰ(44.7%)和机动车(26.7%).最后,还获取了几个重要源的波长吸收指数(AAE)值:机动车(0.96)、工业源(1.04)、扬尘(1.39)、生物质燃烧(2.24).
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夏瑞
谭健
汪琼琼
吴兑
孔少飞
陈楠
邓涛
陶丽萍
张雪
吴柏禧
吴良斌
王庆
吴晟
关键词 武汉市消光系数正定矩阵因子分解(PMF)源解析气溶胶光学特性    
Abstract:Online observation data from Wuhan in July (summer) and October (autumn) in 2020 was used to quantify the source contribution of PM2.5 on light extinction coefficients by inputting the optical parameters and chemical components of PM2.5 into the positive matrix factorization (PMF) model. This study found that the dominating contributing sources of light absorption coefficient were vehicles (66.3%) and industry (14.2%). For light scattering coefficient, the major contributors were secondary inorganic aerosol Ⅰ (38.4%) and vehicle (27.0%). The source contribution on light scattering showed clear seasonal variations, as the contribution from secondary inorganic aerosol Ⅰ was notably lower in summer (14.6%) than in autumn (47.4%). As for the light extinction coefficient, vehicles (37.2%) and secondary inorganic aerosol Ⅱ (21.2%) were the major contributors in summer, while secondary inorganic aerosol Ⅰ (44.7%) and vehicles (26.7%) were the dominating sources in autumn. The absorption Ångström exponent (AAE) values for several important sources were also obtained in this study, including vehicles (0.96), industry (1.04), dust (1.39), and biomass burning (2.24).
Key wordsWuhan    extinction coefficient    positive matrix factorization (PMF)    source apportionment    aerosol optical properties   
收稿日期: 2022-06-05     
PACS: X513  
基金资助:科技部国家重点研发计划项目(2019YFB2102904);国家自然科学基金资助项目(41605002,41475004);广东省科技创新战略专项资金资助项目(2019B121205004)
通讯作者: 陈楠,正高级工程师,nanchen2020@126.com;吴晟,副研究员,wucheng.vip@foxmail.com     E-mail: nanchen2020@126.com;wucheng.vip@foxmail.com
作者简介: 夏瑞(1998-),男,湖北武汉人,暨南大学硕士研究生,主要从事大气细颗粒物来源解析研究.发表论文5篇.
引用本文:   
夏瑞, 谭健, 汪琼琼, 吴兑, 孔少飞, 陈楠, 邓涛, 陶丽萍, 张雪, 吴柏禧, 吴良斌, 王庆, 吴晟. 基于PMF的武汉市大气细颗粒物消光来源解析[J]. 中国环境科学, 2023, 43(1): 7-19. XIA Rui, TAN Jian, WANG Qiong-qiong, WU Dui, KONG Shao-fei, CHEN Nan, DENG Tao, TAO Li-ping, ZHANG Xue, WU Bo-xi, WU Liang-bin, WANG Qing, WU Cheng. PMF model based atmospheric aerosol light extinction budget source apportionment study in Wuhan.. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 7-19.
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