Source apportionment of ambient fine particle size distribution using positive matrix factorization in Erfurt, Germany

被引:63
|
作者
Yue, Wei [1 ,3 ]
Stoelzel, Matthias [3 ,4 ]
Cyrys, Josef [3 ,5 ]
Pitz, Mike [3 ,5 ]
Heinrich, Joachim [3 ,4 ]
Kreyling, Wolfgang G. [4 ,6 ]
Wichmann, H. -Erich [3 ,4 ,7 ]
Peters, Annette [3 ,4 ]
Wang, Sheng [1 ,2 ,8 ]
Hopke, Philip K. [9 ,10 ]
机构
[1] Peking Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth, Beijing 100083, Peoples R China
[2] Clarkson Univ, Dept Chem Engn, Ctr Air Resources Engn & Sci, Potsdam, NY 13699 USA
[3] Inst Epidemiol, GSF Natl Res Ctr Environm & Hlth, D-85764 Neuherberg, Germany
[4] GSF Natl Res Ctr Environm & Hlth, Neuherberg, Germany
[5] Univ Augsburg, WZU Environm Sci Ctr, Augsburg, Germany
[6] GSF Natl Res Ctr Environm & Hlth, Inst Inhalat Biol, D-85764 Neuherberg, Germany
[7] Univ Munich, Inst Med Data Management Biometr & Epidemiol, Munich, Germany
[8] Peking Univ, Sch Publ Hlth, Dept Occupat & Environm Hlth, Beijing 100083, Peoples R China
[9] Clarkson Univ, Ctr Air Resources Engn & Sci, Potsdam, NY 13699 USA
[10] Clarkson Univ, Dept Chem Engn, Potsdam, NY 13699 USA
关键词
particle size; ultrafine particles; positive matrix factorization; source apportionment;
D O I
10.1016/j.scitotenv.2008.02.049
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particle size distribution data collected between September 1997 and August 2001 in Erfurt, Germany were used to investigate the sources of ambient particulate matter by positive matrix factorization (PMF). A total of 29,313 hourly averaged particle size distribution measurements covering the size range of 0.01 to 3.0 gm were included in the analysis. The particle number concentrations (cm(-3)) for the 9 channels in the ultrafine range, and mass concentrations (ng m(-3)) for the 41 size bins in the accumulation mode and particle up to 3 mu m in aerodynamic diameter were used in the PMF. The analysis was performed separately for each season. Additional analyses were performed including calculations of the correlations of factor contributions with gaseous pollutants (O-3, NO, NO2, CO and SO2) and particle composition data (sulfate, organic carbon and elemental carbon), estimating the contributions of each factor to the total number and mass concentration, identifying the directional locations of the sources using the conditional probability function, and examining the diurnal patterns of factor scores. These results were used to assist in the interpretation of the factors. Five factors representing particles from airborne soil, ultrafine particles, from local traffic, secondary aerosols from local fuel combustion, particles from remote traffic sources, and secondary aerosols from multiple sources were identified in all seasons. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:133 / 144
页数:12
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