Identifying the Pollution Characteristics of Atmospheric Polycyclic Aromatic Hydrocarbons Associated with Functional Districts in Ningbo, China

被引:11
作者
Tong, Lei [1 ,2 ]
Peng, Cheng-Hui [1 ,2 ]
Huang, Zhong-Wen [1 ,2 ]
Zhang, Jing-Jing [1 ,2 ]
Dai, Xiao-Rong [1 ,2 ]
Xiao, Hang [1 ,2 ]
Xu, Neng-Bin [3 ]
He, Jun [4 ]
机构
[1] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, 1799 Jimei Ave, Xiamen 361021, Fujian, Peoples R China
[2] Chinese Acad Sci, Ningbo Urban Environm Observat & Res Stn NUEORS, Key Lab Urban Environm Proc & Pollut Control, Ningbo 315830, Zhejiang, Peoples R China
[3] 3Environm Monitoring Ctr Ningbo, Ningbo 315012, Zhejiang, Peoples R China
[4] Univ Nottingham Ningbo China, Ningbo 315100, Zhejiang, Peoples R China
关键词
PAHs; Functional districts; Pollution characteristics; PERSISTENT ORGANIC POLLUTANTS; PASSIVE AIR SAMPLERS; YANGTZE-RIVER DELTA; LUNG-CANCER RISK; SOURCE APPORTIONMENT; SPATIAL-DISTRIBUTION; INHALATION EXPOSURE; NORTH CHINA; PAHS;
D O I
10.1007/s00128-018-02535-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Duplicate polyurethane foam based passive air samplers (PUF-PAS) were deployed at seven sites in Ningbo from November 1, 2014 to October 31, 2015 and were used to analyze 15 priority polycyclic aromatic hydrocarbons (PAHs). Higher benzo[a]pyrene toxic equivalent concentrations were observed in the industrial areas during wintertime. Correspondence analysis (CA) was used to characterize the PAH congener profiles associated with each functional district and their temporal variations. It showed that different PAH composition profiles and seasonal variations were observed in mountain, rural area and residential areas; and different industrial layouts also led to different properties of PAH congener emissions. Higher levels of PAHs were observed around oil refinery in summer and at mountainous areas in winter, which might be attributed to the evaporation of petroleum and the impact of local biomass burning. This study also demonstrated that the factors influencing the representativeness of a site could be more clearly understood using PUF-PAS and CA analysis.
引用
收藏
页码:34 / 40
页数:7
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