Climate Change Data Portal
DOI | 10.1016/j.atmosenv.2012.09.034 |
Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification | |
Xie, Mingjie; Piedrahita, Ricardo; Dutton, Steven J.2; Milford, Jana B.; Hemann, Joshua G.; Peel, Jennifer L.3; Miller, Shelly L.; Kim, Sun-Young4; Vedal, Sverre4; Sheppard, Lianne4; Hannigan, Michael P.1 | |
发表日期 | 2013-02-01 |
ISSN | 1352-2310 |
卷号 | 65页码:11-20 |
英文摘要 | This study presents source apportionment results for PM2.5 from applying positive matrix factorization (PMF) to a 32-month series of daily PM2.5 compositional data from Denver, CO, including concentrations of sulfate, nitrate, bulk elemental carbon (EC) and organic carbon (OC), and 51 organic molecular markers (OMMs). An optimum 8-factor solution was determined primarily based on the interpretability of the PMF results and rate of matching factors from bootstrapped PMF solutions with those from the base case solution. These eight factors were identified as inorganic ion, n-alkane, EC/sterane, light n-alkane/polycyclic aromatic hydrocarbon (PAH), medium alkane/alkanoic acid, PAH, winter/methoxyphenol and summer/odd n-alkane. The inorganic ion factor dominated the reconstructed PM2.5 mass (sulfate + nitrate + EC + OC) in cold periods (daily average temperature <10 degrees C; 43.7% of reconstructed PM2.5 mass) whereas the summer/odd n-alkane factor dominated in hot periods (>20 degrees C; 53.1%). The two factors had comparable relative contributions of 26.5% and 27.1% in warm periods with temperatures between 10 degrees C and 20 degrees C. Each of the seven factors resolved in a previous study (Dutton et al., 2010b) using a 1-year data set from the same location matches one factor from the current work based on comparing factor profiles. Six out of the seven matched pairs of factors are linked to similar source classes as suggested by the strong correlations between factor contributions (r = 0.89-0.98). Temperature-stratified source apportionment was conducted for three subsets of the data in the current study, corresponding to the cold, warm and hot periods mentioned above. The cold period (7-factor) solution exhibited a similar distribution of reconstructed PM2.5 mass as the full data set solution. The factor contributions of the warm period (7-factor) solution were well correlated with those from the full data set solution (r = 0.76-0.99). However, the reconstructed PM2.5 mass was distributed more to inorganic ion, n-alkane and medium alkane/alkanoic acid factors in the warm period solution than in the full data set solution. For the hot period (6-factor) solution, PM2.5 mass distribution was quite different from that of the full data set solution, as illustrated by regression slopes as low as 0.2 and as high as 4.8 of each matched pair of factors across the two solutions. (C) 2012 Elsevier Ltd. All rights reserved. |
英文关键词 | Source apportionment;Positive matrix factorization;Organic molecular markers;Temperature-stratified;Reconstructed PM2.5 mass |
语种 | 英语 |
WOS记录号 | WOS:000313840500002 |
来源期刊 | ATMOSPHERIC ENVIRONMENT |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/60822 |
作者单位 | 1.Univ Colorado, Ctr Engn, Dept Mech Engn, Coll Engn & Appl Sci, Boulder, CO 80309 USA; 2.US EPA, Natl Ctr Environm Assessment, Res Triangle Pk, NC 27711 USA; 3.Colorado State Univ, Dept Environm & Radiol Hlth Sci, Ft Collins, CO 80523 USA; 4.Univ Washington, Sch Publ Hlth, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA |
推荐引用方式 GB/T 7714 | Xie, Mingjie,Piedrahita, Ricardo,Dutton, Steven J.,et al. Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification[J]. 美国环保署,2013,65:11-20. |
APA | Xie, Mingjie.,Piedrahita, Ricardo.,Dutton, Steven J..,Milford, Jana B..,Hemann, Joshua G..,...&Hannigan, Michael P..(2013).Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification.ATMOSPHERIC ENVIRONMENT,65,11-20. |
MLA | Xie, Mingjie,et al."Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification".ATMOSPHERIC ENVIRONMENT 65(2013):11-20. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。