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青岛市秋冬季霾期PM1及其含碳组分理化特征及来源研究
投稿时间:2020-08-31    点此下载全文
引用本文:刘子杨,张宜升,彭倩倩,王新雨,薛莲,王娇,刘晓环,王征.青岛市秋冬季霾期PM1及其含碳组分理化特征及来源研究[J].南京信息工程大学学报,2020,12(6):676~685
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作者单位E-mail
刘子杨 青岛理工大学 环境与市政工程学院, 青岛, 266033  
张宜升 青岛理工大学 环境与市政工程学院, 青岛, 266033 doctorzys@163.com 
彭倩倩 青岛理工大学 环境与市政工程学院, 青岛, 266033  
王新雨 青岛理工大学 环境与市政工程学院, 青岛, 266033  
薛莲 青岛市生态环境局, 青岛, 266003  
王娇 中国海洋大学 海洋环境与生态教育部重点实验室, 青岛, 266100  
刘晓环 中国海洋大学 海洋环境与生态教育部重点实验室, 青岛, 266100  
王征 青岛市生态环境局, 青岛, 266003  
基金项目:国家自然科学基金(41405114);山东省环境科学与工程一流学科开放课题(QUTSEME201911)
中文摘要:对2017年11月1日—2018年1月31日与2018年11月1日—2019年1月31日连续两年青岛市大气PM1进行监测,获取了PM1中含碳组分的变化趋势,结合国控站点监测数据和气象条件,分析了秋冬季PM1来源.结果表明:2017、2018年秋冬季观测期间PM1日均质量浓度分别为40.58±25.98、42.55±25.05 μg/m3;霾日质量浓度分别为84.71±16.70、81.52±18.39 μg/m3.与2017年相比,2018年同期PM1质量浓度增长4.85%,霾日下降3.76%.2017年霾日PM1中OC、EC质量浓度分别为13.67±3.95、3.95±1.02 μg/m3,2018年分别为16.48±6.34、3.34±1.16 μg/m3.与2017年相比,2018年霾日OC质量浓度增长20.56%,EC下降15.44%.2017、2018年霾日SOC质量浓度分别是非霾日的1.28和2.15倍,表明霾污染发生时易发生有机碳二次转化.含碳组分主成分分析均解析出3个因子.因子1解释变量均最大,分别为58.98%、67.14%,其表征含碳组分主要源于生物质燃烧、燃煤、道路扬尘及汽油车尾气等排放源.由后向气流轨迹分析得出,2017、2018年秋冬季气团轨迹多起源于内蒙古,经河北、天津、山东等省市抵达青岛.
中文关键词:PM1  含碳组分  来源解析  青岛
 
Characteristics and sources of PM1 and its carbon components in autumn and winter of Qingdao
Abstract:The ambient PM1 levels during late autumn and winter season in Qingdao were monitored for two consecutive years (November 1st to next January 31st of 2017 and 2018).The carbon components of PM1,and other atmospheric pollutants of PM10,PM2.5,SO2,and NO2,as well as correlated meteorological conditions,were used to trace the sources of ambient PM1 in Qingdao.The results showed that the average daily concentrations of PM1 were 40.58±25.98 μg/m3 and 42.55±25.05 μg/m3 for the two observation periods,which increased to 84.71±16.70 μg/m3 and 81.52±18.39 μg/m3 during haze episodes.The mass concentrations of OC and EC in PM1 in haze days were 13.67±3.95 μg/m3 (16.48±6.34 μg/m3),3.95±1.02 μg/m3 (3.34±1.16 μg/m3) for year 2017(2018),respectively.While the SOC mass concentrations in haze days were 1.28 and 2.15 times of those in non-haze days for year of 2017 and 2018,suggesting the strong potential of secondary transformation of organic carbon during haze episodes.Three factors were apportioned through principal component analysis of carbon-containing components.Factor 1 has the largest explanatory variables,which were 58.98% and 67.14% for 2017 and 2018,indicating the carbon-containing components of PM1 were mainly from sources of biomass combustion,coal burning,road dust,and gasoline vehicle exhaust.The backward airflow trajectory analysis showed that the air masses were mostly originated in Inner Mongolia and passed through Hebei,Tianjin,or other cities of Shandong and finally arrived at Qingdao.
keywords:PM1  carbonaceous component  source apportionment  Qingdao
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