Pregled bibliografske jedinice broj: 813512
Source apportionment using PMF receptor model of airborne PM10 in the Port-City of Rijeka (Croatia)
Source apportionment using PMF receptor model of airborne PM10 in the Port-City of Rijeka (Croatia) // 10th International Conference on Air Quality-Science and Application : proceedings of Abstracts / Redici, P. ; Finard, i S. ; Farrow, A. ; Chemel, Ch. ; De Medeiros, J. ; Singh, V. ; Sochi, R.J. (ur.).
Milano: Univ of Hertfordshire and Arpanet Milano, 2016. str. 283-283 (poster, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Source apportionment using PMF receptor model of airborne PM10 in the Port-City of Rijeka (Croatia)
Autori
Mifka, Boris ; Alebić-Juretić, Ana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
10th International Conference on Air Quality-Science and Application : proceedings of Abstracts
/ Redici, P. ; Finard, i S. ; Farrow, A. ; Chemel, Ch. ; De Medeiros, J. ; Singh, V. ; Sochi, R.J. - Milano : Univ of Hertfordshire and Arpanet Milano, 2016, 283-283
ISBN
978-1-909291-76-8
Skup
10th International Conference on Air Quality- Science and Application (10 ; 2016)
Mjesto i datum
Milano, Italija, 14.03.2016. - 18.03.2016
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
PMF receptor model ; source apportionment ; PM10 ; Rijeka (Croatia)
Sažetak
This study was a part of MED project POSEIDON, with aim to compare air pollution by particulates in 4 ports: Brindisi, Patras, Venice and Rijeka. PMF receptor model was used for apportionment of principal air pollution sources. The receptor model was applied to existing data on air pollution with PM10, Cd, Pb, Cu, Zn, Fe, Cl-, NO3- , SO42-, NH4+, Na+, K+, Mg2+, Ca2+ and 12 species of PAHs from 2008 to 2010. These constituents formed only 44 % of total PMF mass. Results obtained from the PMF model indicated 5 principal air pollution sources/factors in Rijeka: Biomass Combustion (4%), Secondary Inorganic Aerosols (21 %), Metal Industry (5 %), Sea Spray (8%) and Soil/Road Dust (6%). Conditional Probability Function was used to show connection between wind directions and factors in order to determine particulate sources of PM10 air pollution: shipyards, oil refineries, waste yards, roads, domestic heating, sea, and port.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Geologija, Kemija