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Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa.
Adeyemi, Adewale; Molnar, Peter; Boman, Johan; Wichmann, Janine.
Afiliação
  • Adeyemi A; School of Health Systems and Public Health, University of Pretoria, 31 Bophelo Road 00 01, Pretoria, South Africa. abifaz@yahoo.com.
  • Molnar P; Department of Environmental Modeling and Biometrics, Forestry Research Institute of Nigeria, Ibadan, Nigeria. abifaz@yahoo.com.
  • Boman J; Occupational and Environmental Medicine, Sahlgrenska University Hospital & University of Gothenburg, Medicinaregatan 16A, 40530, Gothenburg, Sweden.
  • Wichmann J; Department of Chemistry and Molecular Biology, University of Gothenburg Sweden, Gothenburg, Sweden.
Environ Monit Assess ; 193(11): 716, 2021 Oct 12.
Article em En | MEDLINE | ID: mdl-34637007
ABSTRACT
In Pretoria South Africa, we looked into the origins of fine particulate matter (PM2.5), based on 1-year sampling campaign carried out between April 18, 2017, and April 17, 2018. The average PM2.5 concentration was 21.1 ± 15.0 µg/m3 (range 0.7-66.8 µg/m3), with winter being the highest and summer being the lowest. The XEPOS 5 energy dispersive X-ray fluorescence (EDXRF) spectroscopy was used for elemental analysis, and the US EPA PMF 5.0 program was used for source apportionment. The sources identified include fossil fuel combustion, soil dust, secondary sulphur, vehicle exhaust, road traffic, base metal/pyrometallurgical, and coal burning. Coal burning and secondary sulphur were significantly higher in winter and contributed more than 50% of PM2.5 sources. The HYSPLIT model was used to calculate the air mass trajectories (version 4.9). During the 1-year research cycle, five transportation clusters were established North Limpopo (NLP), Eastern Inland (EI), Short-Indian Ocean (SIO), Long-Indian Ocean (LIO), and South Westerly-Atlantic Ocean (SWA). Local and transboundary origin accounted for 85%, while 15% were long-range transport. Due to various anthropogenic activities such as biomass burning and coal mining, NLP clusters were the key source of emissions adding to the city's PM rate. In Pretoria, the main possible source regions of PM2.5 were discovered to be NLP and EI. Effective control strategies designed at reducing secondary sulphur, coal burning, and fossil fuel combustion emissions at Southern African level and local combustion sources would be an important measure to combat the reduction of ambient PM2.5 pollution in Pretoria.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos Tipo de estudo: Prognostic_studies País/Região como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos Tipo de estudo: Prognostic_studies País/Região como assunto: Africa Idioma: En Ano de publicação: 2021 Tipo de documento: Article