Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa

被引:0
作者
Adewale Adeyemi
Peter Molnar
Johan Boman
Janine Wichmann
机构
[1] University of Pretoria,School of Health Systems and Public Health
[2] Forestry Research Institute of Nigeria,Department of Environmental Modeling and Biometrics
[3] Sahlgrenska University Hospital & University of Gothenburg,Occupational and Environmental Medicine
[4] University of Gothenburg Sweden,Department of Chemistry and Molecular Biology
来源
Environmental Monitoring and Assessment | 2021年 / 193卷
关键词
Air pollution; Source apportionment; Particulate matter; Biomass burning; Transport cluster; South Africa;
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中图分类号
学科分类号
摘要
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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  • [1] Arku RE(2008)Characterizing air pollution in two low-income neighborhoods in Accra, Ghana Science of the Total Environment 402 217-231
  • [2] Vallarino J(2015)Carbonaceous aerosols and pollutants over Delhi urban environment: Temporal evolution, source apportionment and radiative forcing Science of the Total Environment 521 431-445
  • [3] Dionisio KL(2009)A tentative study of urban and suburban fine particles (PM2.5) collected in Ouagadougou, Burkina Faso X-Ray Spectrometry: An International Journal 38 354-362
  • [4] Willis R(2002)Spatial attenuation of ambient particulate matter air pollution within an urbanised native forest patch Air Pollution and Health. the Lancet 360 1233-1242
  • [5] Choi H(2009)Chemical characterization and source apportionment of submicron (PM1) aerosol in Kanpur region Urban Forestry & Urban Greening 8 21-30
  • [6] Wilson JG(2010)Characterisation and source apportionment of fine particulate sources at Hanoi from 2001 to 2008 India. Aerosol and Air Quality Research 10 433-445
  • [7] Bisht DS(2010)The chemical composition and fluxes of atmospheric wet deposition at four sites in South Africa Atmospheric Environment 44 320-328
  • [8] Dumka UC(2016)Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry—results from Eskdalemuir, south Scotland Atmospheric Environment 146 113-131
  • [9] Kaskaoutis DG(1992)Concentration and chemical characteristics of PM2. 5 in Beijing, China: 2001–2002 Atmospheric Environment. Part a. General Topics 26 2583-2602
  • [10] Pipal AS(2006)The comparison of source contributions from residential coal and low-smoke fuels, using CMB modeling, in South Africa Science of the Total Environment 355 264-275