@article{1031,
  keywords = {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},
  author = {D. Contini and D. Cesari and M. Conte and A. Donateo},
  title = {Application of PMF and CMB receptor models for the evaluation of the contribution of a large coal-fired power plant to PM10 concentrations},
  year = {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},
}