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Shonisani Norman Singo

Shonisani Norman Singo

University of the Witwatersrand,South Africa

Title: Investigation of emissions sources and characterization at Mamelodi Township, Gauteng, South Africa using conditional probability function modelling

Biography

Biography: Shonisani Norman Singo

Abstract

This paper aims to investigate pollution sources affecting Mamelodi Township within the City of Tshwane in Gauteng Province, South Africa. The province has the largest population and multi emission activities in South Africa. The ambient pollution concentration depends on the various activities emanating from biogenic and anthropogenic. Anthropogenic activities are the man-made sources such as domestic fuel burning, industrial activities and transport emissions. The objective of this study is to investigate emissions sources and characterisation affecting Mamelodi Township using correlation, pollution roses and probability functions modelling. Investigations will focus on the following pollutants: Sulphur dioxide, Nitrogen dioxide, Ozone and Particulate Matter of less than ten micro diameter. K-Means clustering techniques have been applied to bivariate polar plot to identify and group similar features.The study uses pollution rose polar coordinates plots to provide a useful graphical technique which provides directional information on sources. Ambient concentration and wind direction together with wind speed can be highly effective in discriminating different emission sources affecting the ambient station. The results display strong positive correlation of Oxides of Nitrogen and Nitrogen dioxide. Nitrogen dioxide and nitric oxide sources have displayed positive moderate correlation of ambient concentrations. The problematic areas emission sources were discovered for ozone and particulate matter less than ten micro diameter per cubic meter on the North West of ambient monitoring station. The investigations of sources and characterisation by the application of ambient correlation parameters helped in discriminating of pollutions configuration behaviour at the receiving environment.