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PM2.5 Source Apportionment Using a Hybrid Environmental Receptor Model
Chen, L-W Antony1; Cao, Junji2
2018-06-05
Source PublicationENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume52Issue:11Pages:6357-6369
SubtypeArticle
AbstractA 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 HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1021/acs.est.8b00131
WOS KeywordCHEMICAL MASS-BALANCE ; POSITIVE MATRIX FACTORIZATION ; LONG-TERM NETWORKS ; SAN-JOAQUIN VALLEY ; PARTICULATE MATTER ; ELEMENTAL CARBON ; MULTILINEAR ENGINE ; INDUSTRIAL-AREA ; SOURCE PROFILES ; UNITED-STATES
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Environmental Sciences & Ecology
WOS SubjectEngineering, Environmental ; Environmental Sciences
WOS IDWOS:000434892900031
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/5136
Collection粉尘与环境研究室
Affiliation1.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
Recommended Citation
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.
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