Robert McKibbin

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The goal is to build up an inverse model capable of finding the release history of atmospheric pollution by using measured gas concentration data at just one location on the ground and identify the factors which affects the accuracy of the model predictions. The problem involves a non-steady point source of pollution at a known location in the atmosphere.(More)
The goal is to develop an inverse model capable of simultaneously estimating the parameters appearing in an air pollution model for an instantaneous point source, by using measured gas concentration data. The approach taken was to develop the inverse model as a non-linear least squares estimation problem in which the source term is estimated using(More)
This paper presents an inverse modelling procedure to estimate the location and release rate of atmospheric pollution. The input to this model requires measured pollution concentration at a minimum of three observation sites on the ground and meteorological conditions such as wind speed and cloud cover. The inverse model is formulated as a least squares(More)
Chemical species such as tracers or dissolved pollutants disperse as they are advected by a fluid flowing within a permeable matrix. In many groundwater systems, the porous media have (near-horizontal) layered structures that have been determined by the geological processes which formed them. The advection-dispersion equations that model the transport then(More)
Tegel Foods is New Zealand’s leading producer and supplier of poultry products, providing an extensive range of quality poultry products to New Zealanders for over thirty years. Tegel is a fully-integrated poultry producer involved in breeding, hatching, feeding, growing, processing and marketing of chicken and turkey in New Zealand. The problem presented(More)
This paper describes a comparison of some numerical methods for solving the advection-diffusion (AD) equation which may be used to describe transport of a pollutant. The one-dimensional advection-diffusion equation is solved by using cubic splines (the natural cubic spline and a ”special” AD cubic spline) to estimate first and second derivatives, and also(More)
Liquid bridges are important in a number of industrial applications, such as the granulation of pharmaceuticals, pesticides, and the creation of detergents and fine chemicals. This paper concerns a mathematical study of static and dynamic liquid bridges. For the static case, a new analytical solution to the Young-Laplace equation is obtained, in which the(More)
Modelling of wet granulation requires the rate of agglomerate coalescence to be estimated. Coalescence is dependent on the frequency of collisions that occur, and the fraction of collisions which result in coalescence. The collision rate is a function of granulator kinetics and powder properties, while the coalescence success rate is dependent on factors(More)
SANTOS Ltd is Australia’s biggest supplier of natural gas. It operates nearly 600 wells, most of which are in South Australia. Generally the wells produce a mixture of raw, dense gas with some water and a kerosene-like condensate. These fluids pass through a compressor and are then pumped at high pressure through pipelines up to 180 km long to processing(More)