Title | Seasonal and spatial occurrence and distribution of atmospheric polycyclic aromatic hydrocarbons (PAHs) in rural and urban areas of the North Chinese Plain |
Authors | Liu, Shuzhen Tao, Shu Liu, Wenxin Dou, Han Liu, Yanan Zhao, Jingyu Little, Mark Gabriel Tian, Zaifeng Wang, Jingfei Wang, Luguang Gao, Yuan |
Affiliation | Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China. Inst Environm Sci Hebei Prov, Shijiazhuang 050051, Peoples R China. Cent Environm Monitoring Stn Shijiazhuang, Shijiazhuang 050000, Peoples R China. |
Keywords | Passive air sampling Polycyclic aromatic hydrocarbons (PAHs) North Chinese Plain PERSISTENT ORGANIC POLLUTANTS PARTICULATE MATTER TEMPORAL TRENDS TRAFFIC POLICE AIR-POLLUTION CITY EMISSION AEROSOLS CALIBRATION EXPOSURE |
Issue Date | 2008 |
Publisher | environmental pollution |
Citation | ENVIRONMENTAL POLLUTION.2008,156,(3),651-656. |
Abstract | Passive air sampling (PAS) was employed to study the occurrence of gaseous and particle-bound PAHs in the North Chinese Plain. The averaged concentrations of gaseous and particle-bound PAHs were 485 +/- 209 ng/m(3) and 267 +/- 161 ng/m(3), respectively. The PAHs concentrations at urban sites were generally higher than those at rural ones with ratios <1.5 in spring, summer and fall, but differences between them were not significant for the wintertime and annually averaged concentrations. This urban-rural distribution pattern was related to the PAHs emission sources. PAHs spatial variation can be partially (49%) explained by emission with a simple linear regression method. Both the gaseous and particle-bound PAHs were highest in winter and lowest in summer, with winter/summer ratios of 1.8 and 8, respectively. Emission strength was the most important factor for the seasonality. (C) 2008 Elsevier Ltd. All rights reserved. |
URI | http://hdl.handle.net/20.500.11897/160741 |
ISSN | 0269-7491 |
DOI | 10.1016/j.envpol.2008.06.029 |
Indexed | SCI(E) EI PubMed |
Appears in Collections: | 城市与环境学院 地表过程分析与模拟教育部重点实验室 |