DOI: 10.1016/j.atmosenv.2017.04.021
Scopus记录号: 2-s2.0-85018462917
论文题名: Quantification of source impact to PM using three-dimensional weighted factor model analysis on multi-site data
作者: Shi G ; , Peng X ; , Huangfu Y ; , Wang W ; , Xu J ; , Tian Y ; , Feng Y ; , Ivey C ; E ; , Russell A ; G
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 160 起始页码: 89
结束页码: 96
语种: 英语
英文关键词: Aerosol
; Modeling
; Multi-site WFA3
; Source apportionment
; Three-dimensional
Scopus关键词: Aerosols
; Air quality
; Chemical analysis
; Coal combustion
; Coal dust
; Factor analysis
; Models
; Multivariant analysis
; Quality management
; Urban growth
; Average absolute error
; Chemical species concentrations
; Large-scale monitoring
; Multi-site
; Parallel factor analysis
; Scientific studies
; Source apportionment
; Three-dimensional sources
; Three dimensional computer graphics
; cement
; chemical compound
; coal
; gasoline
; nitrate
; organic carbon
; sulfate
; aerosol
; air quality
; atmospheric modeling
; coal combustion
; dust
; exhaust emission
; megacity
; model test
; particulate matter
; source apportionment
; speciation (chemistry)
; three-dimensional modeling
; traffic emission
; air quality
; air sampling
; Article
; climate
; combustion
; dust
; exhaust gas
; factor analysis
; particulate matter
; priority journal
; summer
; traffic
; urban area
; velocity
; wind
; winter
; China
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: Source apportionment technologies are used to understand the impacts of important sources of particulate matter (PM) air quality, and are widely used for both scientific studies and air quality management. Generally, receptor models apportion speciated PM data from a single sampling site. With the development of large scale monitoring networks, PM speciation are observed at multiple sites in an urban area. For these situations, the models should account for three factors, or dimensions, of the PM, including the chemical species concentrations, sampling periods and sampling site information, suggesting the potential power of a three-dimensional source apportionment approach. However, the principle of three-dimensional Parallel Factor Analysis (Ordinary PARAFAC) model does not always work well in real environmental situations for multi-site receptor datasets. In this work, a new three-way receptor model, called “multi-site three way factor analysis” model is proposed to deal with the multi-site receptor datasets. Synthetic datasets were developed and introduced into the new model to test its performance. Average absolute error (AAE, between estimated and true contributions) for extracted sources were all less than 50%. Additionally, three-dimensional ambient datasets from a Chinese mega-city, Chengdu, were analyzed using this new model to assess the application. Four factors are extracted by the multi-site WFA3 model: secondary source have the highest contributions (64.73 and 56.24 μg/m3), followed by vehicular exhaust (30.13 and 33.60 μg/m3), crustal dust (26.12 and 29.99 μg/m3) and coal combustion (10.73 and 14.83 μg/m3). The model was also compared to PMF, with general agreement, though PMF suggested a lower crustal contribution. © 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82348
Appears in Collections: 气候变化事实与影响
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作者单位: State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, China; College of Software, Nankai University, Tianjin, China; School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
Recommended Citation:
Shi G,, Peng X,, Huangfu Y,et al. Quantification of source impact to PM using three-dimensional weighted factor model analysis on multi-site data[J]. Atmospheric Environment,2017-01-01,160