Shonisani Norman Singo
Shonisani Norman Singo, University of Witwatersrand, South Africa
Title: Investigation of emissions sources and characterization at Bedfordview, Gauteng, South Africa using conditional probability function modelling
Biography
Biography: Shonisani Norman Singo
Abstract
This paper investigates pollution sources affecting Bedfordview within the City of Ekurhuleni in Gauteng province, South Africa. The City of Ekurhuleni has the highest number of industries in Africa. The ambient pollution concentration in the vicinity of Bedfordview depends upon the output of gases from 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 characterization which are affecting the receiving environment at Bedfordview of ambient concentration through correlation parameters of ambient air, pollution roses and probability functions modelling. Investigations will be focused on the activities which are emitting the following pollutants: Sulphur dioxide, Nitrogen dioxide, Ozone and Particulate Matter of less than ten micro diameters. K-Means clustering techniques have been applied to bivariate polar plot to identify and group similar features.The following methodology will be used in the analysing of the correlation of pollutants at different receptors which are affecting the Bedfordview ambient monitoring station. 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 study has revealed major and minor sources at the received environment. The results display strong positive correlation of Oxides of Nitrogen and Nitrogen dioxide. Toluene d and benzene sources have displayed positive very strong correlation of ambient concentrations. Carbon monoxide displays no correlation with wind direction. The problematic areas emission sources were discovered for ozone and particulate matter less than ten micro diameters per cubic meter on the North West of Bedfordview ambient monitoring station. Nitrogen dioxide and Sulphur dioxide have revealed local and far sources affecting the ambient monitoring station. The study has revealed major and minor sources at Bedfordview. The investigations of sources and characterization by the application of ambient correlation parameters help in discriminating of pollutions configuration behaviour at the monitoring station.