PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model

doi:10.1021/acs.est.8b00131

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	PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model
	Chen, L-W Antony 1; Cao, Junji 2
刊名	ENVIRONMENTAL SCIENCE & TECHNOLOGY
	2018-06-05
卷号	52 期号:11 页码:6357-6369
DOI	10.1021/acs.est.8b00131
文献子类	Article
英文摘要	A hybrid environmental receptor model (HERM) that unifies the theory of effective-variance chemical mass balance (EV-CMB) and positive matrix factorization (PMF) models was developed to support the weight-of-evidence approach of air pollution source apportionment. The HERM software is capable of (1) conducting EV-CMB analysis for multiple samples in a single model run; (2) calculating EV-CMB and PMF source contributions, as well as middle grounds between the two (i.e., hybrid mode), using partial source information available for the study region; (3) reporting source contribution uncertainties and sample-/species-specific fitting performance measures; and (4) interfacing with MS Excel for convenient data inputs/outputs and analysis. Initial testing with simulated and real-world PM2.5 (fine particulate air pollutants with aerodynamic diameter <2.5 mu m) data sets show that HERM reproduces EV-CMB results from existing software but with more tolerance to collinearity and better uncertainty estimates. It also shows that partial source information helps reduce rotational ambiguity in PMF, thus producing more accurate partitioning between highly correlated sources. Moreover, source profiles generated from the hybrid mode can be more representative of the study region than those acquired from other locales or calculated by PMF with no source information. Strategies to use HERM for source apportionment are recommended.
WOS关键词	CHEMICAL MASS-BALANCE ; POSITIVE MATRIX FACTORIZATION ; LONG-TERM NETWORKS ; SAN-JOAQUIN VALLEY ; PARTICULATE MATTER ; ELEMENTAL CARBON ; MULTILINEAR ENGINE ; INDUSTRIAL-AREA ; SOURCE PROFILES ; UNITED-STATES
WOS研究方向	Engineering ; Environmental Sciences & Ecology
语种	英语
WOS记录号	WOS:000434892900031
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/5136]
专题	地球环境研究所_粉尘与环境研究室
作者单位	1.Univ Nevada, Sch Community Hlth Sci, Dept Environm & Occupat Hlth, Las Vegas, NV 89154 USA 2.Chinese Acad Sci, Inst Earth Environm, KLACP, Xian 710061, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Chen, L-W Antony,Cao, Junji. PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2018,52(11):6357-6369.
APA	Chen, L-W Antony,&Cao, Junji.(2018).PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model.ENVIRONMENTAL SCIENCE & TECHNOLOGY,52(11),6357-6369.
MLA	Chen, L-W Antony,et al."PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model".ENVIRONMENTAL SCIENCE & TECHNOLOGY 52.11(2018):6357-6369.