Atmospheric polycyclic aromatic hydrocarbons in north China: A winter-time study

被引:130
作者
Liu, Shuzhen [1 ]
Tao, Shu [1 ]
Liu, Wenxin [1 ]
Liu, Yanan [1 ]
Dou, Han [1 ]
Zhao, Jingyu [1 ]
Wang, Luguang [2 ]
Wang, Jingfei [2 ]
Tian, Zaifeng [2 ]
Gao, Yuan [3 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China
[2] Inst Environm Sci Hebei Prov, Shijiazhuang 050051, Peoples R China
[3] Cent Environm Monitoring Stn Shijiazhuang, Shijiazhuang 050000, Peoples R China
关键词
D O I
10.1021/es0716249
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The contamination and outflow of atmospheric polycyclic aromatic hydrocarbons (PAHs) in the Chinese Northern Plain, a region with a total area of 300 000 km(2) and a high PAH emission density, were investigated. Polyurethane foam (PUF) and PM10 samples were collected at 46 sites located in urban, rural (towns or villages), and control (remote mountain) areas in the winter from November 2005 to February 2006. The observed concentrations of atmospheric PAHs were generally higher than those reported for developed countries and southern Chinese cities. It was found that there was no significant difference in air PAH concentrations between the urban and the rural areas (514 +/- 563 ng/m(3) and 610 +/- 645 ng/ m(3), respectively), while the PAH concentrations at the control sites (57.1 +/- 12.6 ng/m(3)) were 1 order of magnitude lower than those at the other sites. The primary reason for the similarity in PAH concentrations between urban and rural areas was the fact that the predominant sources of biomass and domestic coal combustion were widely spread over the study area. The partition constants (K-PM10) of PAHs were significantly correlated to the corresponding values of subcooled liquid-vapor pressure (p(L)(0)). However, the regression slopes of log K-PM10 versus log p(L)(0) were much steeper than - 1, indicating adsorption dominated over absorption. Three distinct patterns of outflow from the study area were identified by forward trajectory and cluster analysis.
引用
收藏
页码:8256 / 8261
页数:6
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