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Ogundele, L., Owoade, O., Olise, F., & Hopke, P. (2016). Source Identification and Apportionment of PM2.5 and PM2.5-10 in Iron and Steel Scrap Smelting Factory Environment Using PMF, PCFA and UNMIX Receptor Models. Environmental Monitoring and Assessment, 188, 1-21. https://doi.org/10.1007/s10661-016-5585-8

has been cited by the following article:

• TITLE: Spatial Analysis of Heavy Metal Emissions in Residential, Commercial and Industrial Areas Adjacent to a Scrap Metal Shredder in Winnipeg, Canada

  AUTHORS: Folarin Solademi, Shirley Thompson

  KEYWORDS: Air Pollution, Heavy Metals, Particulate Matter, Pollution Indices, Maps, Snow, Spatial Analysis

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.8 No.5, May 29, 2020

  ABSTRACT: A spatial analysis of air pollution in the South St. Boniface (SSB) and Mission Industrial Areas (MIA) of Winnipeg, in Manitoba, Canada, was conducted by mapping the results for 23 composite snow samples. Heavy metals were analyzed in the snow samples by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Higher concentrations closer to the shredder were significant for every metal, but, not for arsenic, in regression modeling R squared (0.585 for Cd, 0.462 for Pb, 0.423 for Zn, 0.343 for Cr, 0.343 for Ni, 0.244 for Mn, and 0.069 for As). Heavy metal concentrations were significantly higher in the industrial zone, with the next highest being the roadside zone, then the commercial zone and finally the residential/parkland zone, at p-value