Contribution of point and small-scaled sources to the PM10 emission using positive matrix factorization model

• Published in: Journal of environmental health science and engineering Vol. 15; no. 1; p. 2
• Main Authors: Farahmandkia, Zohre, Moattar, Faramarz, Zayeri, Farid, Sadegh Sekhavatjou, Mohamad, mansouri, Nabiollah
• Format: Journal Article
• Language: English
• Published: London BioMed Central 14.01.2017; BioMed Central Ltd
• Subjects: Apportionment; Earth and Environmental Science; Environment; Environmental aspects; Environmental Economics; Environmental Engineering/Biotechnology; Environmental Health; Environmental Law/Policy/Ecojustice; Factories; Heavy metals; Measurement; Methods; Outdoor air quality; Particulate matter; Public health; Quality of Life Research; Research Article; Waste Management/Waste Technology; Zinc; Atlanta Georgia; Iran; Australia; United States > US; Asia; Germany; Characterization; PM; Positive Matrix Analysis; Heavy metals
• ISSN: 2052-336X; 2052-336X
• DOI: 10.1186/s40201-016-0265-8

Background The positive matrix factorization is a powerful environmental analysis technique which has been successfully utilized to assess air-born particulate matter source contribution. The new version of this model (PMF5) has two additional estimation error methods and some other useful advantages compared to the previous versions. In the present study, the capability of PMF5 for identification and contribution of small size particle source to the ambient particulate matter was evaluated. Methods The study area is surrounded by three industrial complexes and 2 locations of dumped tailing soils of mining activities and related manufactures. Ambient particulate matter were sampled at 2 sites in the urban area of Zanjan (Iran) and 196 collected samples were analyzed for 15 chemical elements. Results At downtown, the identified factors (and their contributions to particulate matter) were: soil particles (40.36%), fuel combustion and traffic (26.8%), tailing soils (lead and zinc) (21.32%), and nickel and industrial emission(5.7%). The identified factors at residential site of studied area (and their contributions to particulate matter) were general industrial emission (28.2%), tailing soils (lead and zinc) (39.2%), soil (25.8%), cadmium and general pollutants (6.7%). Conclusion The results of modeled data by PMF 5 indicated that the applied model could identify the dumps of tailing soils as a separated factor. The other particulate matter sources in the studied area were traffic, fuel combustion, soil particles and industrial pollutants.