Landfill gas (LFG) contributes significantly to air pollution. Methane (CH4) and carbon dioxide (CO2) are the major constituents of LFG, and are significant greenhouse gases that play a vital role in causing global warming. Certain air pollutants from landfill sites are carcinogenic (e.g. benzene), while others are odorous (e.g. methyl mercaptan). Due to these potential negative impacts, there is need to forecast the yield and production rate of biogas generated. Limited work has been done on the modelling of LFG emissions for landfill sites in Durban. This study focuses on the estimation of air pollutant emissions from three landfill sites, namely Bisasar Road, Shongweni and Buffelsdraai using the LANDGEM model and comparing the results against the findings of Hofstetter Gas Yield Model which has been utilized before by Durban Solid Waste (DSW) for Bisasar Road landfill. The greenhouse gases of global concern, namely CH4, CO2 and halocarbons were investigated in this study. The LANDGEM model predicted CO2 emissions to be higher than CH4 and other greenhouse gases. The warm, moist climatic conditions suitable for CH4 oxidation may be responsible for the increased generation rates of CO2. The main components of LFG which cause landfill odour problems are sulphur-containing compounds. Methyl mercaptan is the component causing persistent bad odours in the landfills, contrary to popular belief that hydrogen sulphide is the major contributor to odour pollution. Hydrogen sulphide has been predicted by LANDGEM to be the sulphur-containing gas that is produced in greatest quantities. Benzene and vinyl chloride are the most hazardous compounds emitted from landfills, since they are carcinogenic. The emission rates of benzene were found to be higher than those of vinyl chloride in the active landfill sites of Bisasar Road and Shongweni. The LANDGEM model estimated total LFG emissions of 8.371 x 107 m3y-1 at Bisasar Road landfill, compared with a lower emission rate of 3.285 x 107 m3y-1 predicted by the Hofstetter model. The LANDGEM model revealed LFG to peak during the closure of the landfill, and to decline thereafter for a long period of time. The Hofstetter model showed that LFG could reach its maximum within three years of waste deposition. LANDGEM model is a widely used methodology for estimating LFG emissions. It is used in United States as regulatory model to quantify the potential LFG emissions produced from the landfill. This model can be used by landfill owners and operators to evaluate the performance of the landfill and to determine whether the landfill is still subject to regulatory requirements, especially in the countries where emission guidelines have been established. Therefore, in the developing country like South Africa, it is essential to quantify and evaluate the LFG emissions released from landfills despite the fact that no legal LFG emission guidelines are put in place yet. / Thesis (M.Sc.)-University of Natal, Durban, 2001.

The main objective of this study was to investigate the vertical distribution of aerosols over Durban in relation to the vertical stability structure and horizontal transport of air masses. The importance of aerosols in the region is well recognised and recently there have been many international experiments which have focused on aerosol distribution over the subcontinent. Durban is situated at the approximate centre of a giant plume that is known to transport aerosols and trace gases off the east coast of southern Africa and is therefore strategically located for an investigation of the vertical distribution of aerosols. The vertical distribution of aerosols over Durban was measured using a LIDAR (Light Detection And Ranging) system on selected cloud free days in 1997. Backward trajectory modelling was used at selected pressure (standard) levels to determine the origin and transport pathways of aerosols. Six case studies are presented in an attempt to gain insight into the relationship between the vertical distribution of aerosols and absolutely stable layers. The results of the study revealed that the occurrence of absolutely stable layers governs the vertical distribution of aerosols in the troposphere. An absolutely stable layer at ~5km (~500hPa) appears to be the most effective in capping and trapping aerosols in the atmosphere. Below 5km, the atmosphere was charcterised by marked stratification and relatively higher concentration of aerosols. Above 5km, the concentrations were much lower, but generally increased slightly with height. Low aerosol concentrations are observed during post-frontal situations and relatively higher concentrations during anticyclonic conditions. The background to the problem and the objectives of this investigation are elaborated in Chapter 1. A description of the data sets and derived meteorological variables, along with the methodologies applied in this thesis, are given in Chapter 2. A theoretical review of aerosols, including their sources, effects and distribution over the globe and southern Africa, is discussed in Chapter 3. Atmospheric circulation and weather patterns and their relationship to the transport and dispersion of aerosols are described in Chapter 4. The results of the study and an analysis of the major findings are presented in Chapter 5. Finally, Chapter 6 summarises the major findings of this dissertation. / Thesis (M.Sc.)-University of Natal, Durban, 2000.

To investigate the effect of environmental pollution on the health of children in the Durban South Industrial Basin (DSIB) due to its proximity to industrial activities, 233 children from five primary schools were considered. Three of these schools were located in the south of Durban while the other two were in the northern residential areas that were closer to industrial activities. Data collected included the participants' demographic, health, occupational, social and economic characteristics. In addition, environmental information was monitored throughout the study specifically, measurements on the levels of some ambient air pollutants. The objective of this thesis is to investigate which of these factors had an effect on the lung function of the children. In order to achieve this objective, different sample survey data analysis techniques are investigated. This includes the design-based and model-based approaches. The nature of the survey data finally leads to the longitudinal mixed model approach. The multicolinearity between the pollutant variables leads to the fitting of two separate models: one with the peak counts as the independent pollutant measures and the other with the 8-hour maximum moving average as the independent pollutant variables. In the selection of the fixed-effects structure, a scatter-plot smoother known as the loess fit is applied to the response variable individual profile plots. The random effects and the residual effect are assumed to have different covariance structures. The unstructured (UN) covariance structure is used for the random effects, while using the Akaike information criterion (AIC), the compound symmetric (CS) covariance structure is selected to be appropriate for the residual effects. To check the model fit, the profiles of the fitted and observed values of the dependent variables are compared graphically. The data is also characterized by the problem of intermittent missingness. The type of missingness is investigated by applying a modified logistic regression model missing at random (MAR) test. The results indicate that school location, sex and weight are the significant factors for the children's respiratory conditions. More specifically, the children in schools located in the northern residential areas are found to have poor respiratory conditions as compared to those in the Durban-South schools. In addition, poor respiratory conditions are also identified for overweight children. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2006.