Comparison of two trajectory based models for locating particle sources for two rural New York sites

被引:61
作者
Zhou, LM
Hopke, PK
Liu, W
机构
[1] Clarkson Univ, Dept Chem Engn, Potsdam, NY 13699 USA
[2] Clarkson Univ, Ctr Air Resources Engn & Sci, Potsdam, NY 13699 USA
[3] Clarkson Univ, Dept Chem, Potsdam, NY 13699 USA
关键词
ambient aerosol; receptor model; back trajectory; simplified quantitative transport bias analysis; residence-time weighted concentrations;
D O I
10.1016/j.atmosenv.2003.12.034
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
dTwo back trajectory-based statistical models, simplified quantitative transport bias analysis and residence-time weighted concentrations (RTWC) have been compared for their capabilities of identifying likely locations of source emissions contributing to observed particle concentrations at Potsdam and Stockton, New York. Quantitative transport bias analysis (QTBA) attempts to take into account the distribution of concentrations around the directions of the back trajectories. In full QTBA approach, deposition processes (wet and dry) are also considered. Simplified QTBA omits the consideration of deposition. It is best used with multiple site data. Similarly the RTWC approach uses concentrations measured at different sites along with the back trajectories to distribute the concentration contributions across the spatial domain of the trajectories. In this study, these models are used in combination with the source contribution values obtained by the previous positive matrix factorization analysis of particle composition data from Potsdam and Stockton. The six common sources for the two sites, sulfate, soil, zinc smelter, nitrate, wood smoke and copper smelter were analyzed. The results of the two methods are consistent and locate large and clearly defined sources well. RTWC approach can find more minor sources but may also give unrealistic estimations of the source locations. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1955 / 1963
页数:9
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