A review of receptor modelling of industrially emitted particulate matter

Atmospheric Environment

Volumn 97, Issue , 2014, Pages 109-120

  Taiwo, Adewale M ^a   Harrison, Roy M ^a   Shi, Zongbo ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Industrial emissions; Metals; Particulate matter; Receptor modelling; Source apportionment; Steel industry

Indexed keywords

DATA HANDLING; FOG; IRON AND STEEL INDUSTRY; METALS; MULTIVARIANT ANALYSIS; ORGANIC CARBON; PARTICLES (PARTICULATE MATTER); PRINCIPAL COMPONENT ANALYSIS; STEELMAKING; URBAN GROWTH;

CHEMICAL MASS BALANCE; FINE PARTICULATE MATTER; MULTIVARIATE STATISTICAL MODELS; ORGANIC AND ELEMENTAL CARBON; PARTICULATE MATTER; POSITIVE MATRIX FACTORIZATION; RECEPTOR MODELLING; SOURCE APPORTIONMENT;

INDUSTRIAL EMISSIONS;

CARBON; ELEMENT CARBON; ORGANIC CARBON; POLYCYCLIC AROMATIC HYDROCARBON; TRACE ELEMENT; UNCLASSIFIED DRUG; RECEPTOR; TRACE METAL;

CHEMICAL COMPOSITION; CLASSIFICATION; FLOW MODELING; INDUSTRIAL EMISSION; PARTICULATE MATTER; SITE INVESTIGATION; URBAN ATMOSPHERE; ATMOSPHERIC POLLUTION; LITERATURE REVIEW; METAL; METALS INDUSTRY; URBAN SITE;

AEROSOL; ATMOSPHERE; INDUSTRIAL AREA; INDUSTRY; MODEL; PARTICULATE MATTER; POLLUTANT; PRIORITY JOURNAL; RECEPTOR MODEL; REVIEW; TRAFFIC AND TRANSPORT; URBAN AREA; ARTICLE; CONTROLLED STUDY; PRINCIPAL COMPONENT ANALYSIS; RECEPTOR MODELLING;

EID: 84905662165     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2014.07.051     Document Type: Review

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