Quantifying Uncertainties Associated with Source Influences on particle-laden buoyant PLUMES (QUASI-PLUMES)

This project aims to address this disconnect through the development and application of an inverse modelling approach that will utilise new datasets covering a wide range of unsteady discharge environments, with a spectrum of frequencies and magnitudes to mimic relevant source conditions (e.g. ocean outfalls, volcanic vents). It will combine scaled, parametric experiments in existing laboratory facilities that permit a wide range of environmentally-relevant conditions to be tested, and detailed CFD modelling to enhance links between these analogue laboratory data and field-scale volcanic plume data provided by British Geological Survey (BGS). The laboratory tests will be conducted in an existing large-scale recirculating flow facility within the refurbished Environmental Fluid Mechanics laboratory at the University of Dundee, and will utilise sophisticated measurement techniques to obtain detailed velocity and density fields within the evolving plumes and particle fall out rates from the plume margins. The study will also focus on identifying and optimising the number, location and period of sensor measurements of particle-laden plume dynamics, both at lab and field scales, to ascertain the extent to which the spectrum of unsteady source conditions can be recovered from these downstream plume measurements. The overall goals of the study will be to improve the dynamic links between plume evolution, particulate fall out characteristics and the temporal variability in source conditions, and implement this new knowledge to improve integral plume models, currently utilised in relevant fields (e.g. ocean engineering, volcanology).

Over the past 16 years, Civil Engineering research at Dundee has maintained its ranking as 1st in Scotland and in the top 10 in the UK. A major contributor to this success has been the internationally-recognised research in Environmental Fluid Mechanics with applications in ocean, coastal, offshore and estuarine flows, fluid-structure interactions, sediment transport processes, marine renewable energy, and computational fluid dynamics combining big data and machine learning. The Fluid Mechanics group has a highly successful track record in winning external research grants from national and international funding agencies and industry. It has excellent research and testing facilities, including wave flumes and recirculating flow tanks, as well as the £2M Scottish Marine and Renewables Testing (SMART) Centre, for research at the fluid-structure or fluid-soil interfaces.