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A holistic approach combining factor analysis, positive matrix factorization, and chemical mass balance applied to receptor modeling
Published in
2013
PMID: 23832184
Volume: 185
   
Issue: 12
Pages: 10115 - 10129
Abstract
Rapid urbanization and population growth resulted in severe deterioration of air quality in most of the major cities in India. Therefore, it is essential to ascertain the contribution of various sources of air pollution to enable us to determine effective control policies. The present work focuses on the holistic approach of combining factor analysis (FA), positive matrix factorization (PMF), and chemical mass balance (CMB) for receptor modeling in order to identify the sources and their contributions in air quality studies. Insight from the emission inventory was used to remove subjectivity in source identification. Each approach has its own limitations. Factor analysis can identify qualitatively a minimal set of important factors which can account for the variations in the measured data. This step uses information from emission inventory to qualitatively match source profiles with factor loadings. This signifies the identification of dominant sources through factors. PMF gives source profiles and source contributions from the entire receptor data matrix. The data from FA is applied for rank reduction in PMF. Whenever multiple solutions exist, emission inventory identifies source profiles uniquely, so that they have a physical relevance. CMB identifies the source contributions obtained from FA and PMF. The novel approach proposed here overcomes the limitations of the individual methods in a synergistic way. The adopted methodology is found valid for a synthetic data and also the data of field study. © 2013 Springer Science+Business Media Dordrecht.
About the journal
JournalEnvironmental Monitoring and Assessment
ISSN01676369
Open AccessNo
Concepts (45)
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    Chemical mass balance
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    Emission inventories
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    Multiple solutions
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    Positive matrix factorization
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    Rapid urbanizations
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    Source contributions
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    Source identification
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    SPECIATION ANALYSIS
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    Air pollution control
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    Air quality
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    Factor analysis
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    Matrix algebra
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    Multivariant analysis
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    Population statistics
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    TRACE METAL
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    Emission inventory
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    Mass balance
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    Particulate matter
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    Pollutant source
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    Population growth
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    SPECIATION (CHEMISTRY)
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    Urbanization
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    Air pollution
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    Article
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    Chemical analysis
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    Concentration (parameters)
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    Controlled study
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    Data analysis
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    ENVIRONMENTAL PARAMETERS
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    FACTORIAL ANALYSIS
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    Intermethod comparison
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    Mathematical computing
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    Mathematical model
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    Process development
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    Qualitative analysis
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    Quality control
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    RECEPTOR MODELING
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    Uncertainty
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    Validation process
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    Air pollutants
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    Cities
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    Environmental monitoring
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    FACTOR ANALYSIS, STATISTICAL
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    India
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    Models, chemical