Application of PMF and CMB receptor models for the evaluation of the contribution of a large coal-fired power plant to PM10 concentrations

Autore
D. Contini
D. Cesari
M. Conte
A. Donateo
Parole chiave
aluminum
Bromine
Chlorine
Chromatography
Coal
Coal fueled furnaces
copper
Dispersions
Energy dispersive spectroscopy
Environmental management
Factorization
Health risks
Ion chromatography
manganese
Mining
Particulate emissions
Silicon
titanium
Urban growth
Chemical characterization
Chemical compositions
Chemical mass balance receptor models
Coal-fired power plant
Energy dispersive X-ray fluorescence
Positive matrix factorization
Receptor model
Source apportionment
Fossil fuel power plants
aluminum
ammonia
ammonium sulfate
Bromine
calcium ion
copper
magnesium ion
manganese
potassium ion
silicone
sodium ion
sulfate
titanium
vanadium
Zinc
chemical composition
coal-fired power plant
dispersion
geochemistry
Ion chromatography
mass balance
matrix
Particulate Matter
pollutant source
article
chemical analysis
Chemical Mass Balance receptor model
coal fired power plant
dispersion
electric power plant
gravimetry
Ion chromatography
nonbiological model
Particulate Matter
Positive Matrix Factorization receptor model
priority journal
rural area
urban area
X ray fluorescence
air pollutant
Air Pollution
analysis
electric power plant
environmental monitoring
Particulate Matter
procedures
statistics and numerical data
theoretical model
Air pollutants
Air Pollution
environmental monitoring
Models
Theoretical
Particulate Matter
Power Plants
Year of Publication
2016
Journal
Science of the Total Environment
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963604331&doi=10.1016%2fj.scitotenv.2016.04.031&partnerID=40&md5=71b2f09fa98417749d5f12a15d0fbe63
DOI
10.1016/j.scitotenv.2016.04.031