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PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model
Chen, L-W Antony1; Cao, Junji2
2018-06-05
发表期刊ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷号52期号:11页码:6357-6369
文章类型Article
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标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1021/acs.est.8b00131
关键词[WOS]CHEMICAL MASS-BALANCE ; POSITIVE MATRIX FACTORIZATION ; LONG-TERM NETWORKS ; SAN-JOAQUIN VALLEY ; PARTICULATE MATTER ; ELEMENTAL CARBON ; MULTILINEAR ENGINE ; INDUSTRIAL-AREA ; SOURCE PROFILES ; UNITED-STATES
收录类别SCI
语种英语
WOS研究方向Engineering ; Environmental Sciences & Ecology
WOS类目Engineering, Environmental ; Environmental Sciences
WOS记录号WOS:000434892900031
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文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/5136
专题粉尘与环境研究室
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
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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.
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