globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2015.02.045
Scopus记录号: 2-s2.0-84939969772
论文题名:
Constraining the factor analytical solutions obtained from multiple-year receptor modeling of ambient PM2.5 data from five speciation sites in Ontario, Canada
作者: Sofowote U; M; , Su Y; , Dabek-Zlotorzynska E; , Rastogi A; K; , Brook J; , Hopke P; K
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 108
起始页码: 151
结束页码: 157
语种: 英语
英文关键词: PM2.5 ; PMF ; Receptor modeling ; Source apportionment ; Speciation
Scopus关键词: Atmospherics ; Earth atmosphere ; Fine particulate matter ; Fundamental principles ; Non-negativity constraints ; PMF ; Positive Matrix Factorization ; Receptor model ; Source apportionment ; Speciation ; Complex networks
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Rotational ambiguity in factor analyses leads to solutions that are not always consistent with reality. The inherent non-negativity constraints in positive matrix factorization (PMF) help to prevent factor solutions from becoming overly unrealistic, but they are not sufficient to prevent unwanted rotations that could manifest in factors that should have similar compositions varying across multiple sites. The Canadian National Air Pollution Surveillance (NAPS) network operates five fine particulate matter (PM2.5) speciation sites in Ontario. Data from these sites from 2005 to 2010 were subjected to PMF to obtain factors representing sources of particulate matter. Eight factors were found to be common across these sites. These factors had profiles that varied greatly from one site to the other, suggesting that the PMF solutions were impacted by some rotational ambiguity. New features in the EPA PMF V5 program allow the use of a priori information to impose mathematical constraints that guide the evolution of the factor solutions. These constraints reduce the rotational space. In situations where major emissions sources are known and located in the neighborhood of receptors, or emissions inventories and literature source profiles exist, it is easy to use these profiles to force the factor solutions to conform to the expected signatures. In our case, reported source profiles were neither available nor applicable due to the large spatial span of potential sources and receptor sites. This work describes how such constraints can be generated and used in these complex situations. The fundamental principle explored in this work is the concept of 'stiffness' of PMF solutions to identify the desirable non-rotating factors. © 2015 Published by Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81829
Appears in Collections:气候变化事实与影响

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作者单位: Air Quality Monitoring and Assessment Unit, Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment and Climate Change, 125 Resources Road, Etobicoke, ON, Canada; Analysis and Air Quality Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada, 335 River Road, Ottawa, ON, Canada; Faculty of Medicine, University of Toronto, King's College Circle, Toronto, ON, Canada; Process Research Section, Air Quality Research Division, Atmospheric Science and Technology Directorate, Science and Technology Branch, Environment Canada, 4905 Dufferin Street, Toronto, ON, Canada; Institute for a Sustainable Environment, Clarkson University, P.O. Box 5708, Potsdam, NY, United States

Recommended Citation:
Sofowote U,M,, Su Y,et al. Constraining the factor analytical solutions obtained from multiple-year receptor modeling of ambient PM2.5 data from five speciation sites in Ontario, Canada[J]. Atmospheric Environment,2015-01-01,108
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