2nd Annual Congress on Environmental Pollution and Health October 21-22, 2019 Sydney, Australia

Biography:

Shonisani Norman Singo is a final year PhD  Student from the University of Witwatersrand, Johannesburg, South Africa in the field of Chemical Engineering. His study focuses on the Investigation of  emission sources and characterization using conditional probability function modelling. He has 10 year’s of experience in the field of Air Quality Management as an Air Quality Specialist employed by the Government at Gauteng Province, South Africa. He has been identifying, licensing, monitoring and compliance of air quality activities. The approach on the paper will help regulators in identifying problematic emission sources and apply relevant reduction strategies

Abstract:

This paper investigates pollution sources affecting Mamelodi Township within the City of Tshwane in Gauteng province, South Africa. The province also has the largest population in South Africa. The ambient pollution concentration in the vicinity of Mamelodi 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 characterisation which are affecting the receiving environment at Mamelodi Township 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 diameter. 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 Mamelodi 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. 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 Mamelodi 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 Mamelodi township. The investigations of sources and characterisation by the application of ambient correlation  parameters helps in discriminating of pollutions configuration behaviour at the monitoring station.