Preliminary PM2.5 and PM10 fractions source apportionment complemented by statistical accuracy determination
PBN-AR
Instytucja
Wydział Fizyki i Informatyki Stosowanej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Nukleonika. International Journal of Nuclear Research
ISSN
0029-5922
EISSN
1508-5791
Wydawca
INSTITUTE OF NUCLEAR CHEMISTRY AND TECHNOLOGY
DOI
Rok publikacji
2016
Numer zeszytu
1
Strony od-do
75--83
Numer tomu
61
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
0.64
Autorzy
Słowa kluczowe
EN
particulate matter
chemical analysis
source identification
Streszczenia
Język
EN
Treść
Samples of PM10 and PM2.5 fractions were collected between the years 2010 and 2013 at the urban area of Krakow, Poland. Numerous types of air pollution sources are present at the site; these include steel and cement industries, traffi c, municipal emission sources and biomass burning. Energy dispersive X-ray fl uorescence was used to determine the concentrations of the following elements: Cl, K, Ca, Ti, Mn, Fe, Ni, Cu, Zn, Br, Rb, Sr, As and Pb within the collected samples. Defi ning the elements as indicators, airborne particulate matter (APM) source profi les were prepared by applying principal component analysis (PCA), factor analysis (FA) and multiple linear regression (MLR). Four different factors identifying possible air pollution sources for both PM10 and PM2.5 fractions were attributed to municipal emissions, biomass burning, steel industry, traffi c, cement and metal industry, Zn and Pb industry and secondary aerosols. The uncertainty associated with each loading was determined by a statistical simulation method that took into account the individual elemental concentrations and their corresponding uncertainties. It will be possible to identify two or more sources of air particulate matter pollution for a single factor in case it is extremely diffi cult to separate the sources.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:096595
CrossrefMetadata from Crossref logo
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