Over the past ten years, ca. US$ 5.6 billion has been spent on hazardous fuel reduction to treat an average of ca. 2.5 million acres per year across the United States. These expenditures represent one of the primary strategies for the mitigation of catastrophic wildland fire events. At the local scale, the placement and implementation of fuel reduction treatments is complex, involving trade-offs between environmental impacts, threatened and endangered species mitigation, funding, smoke management, parcel ownership, litigation, and weather conditions. Because of the cost and complexity involved, there is a need for implementing treatments in such a way that hazard mitigation, or other management objectives, are optimized.
This project attempts to deal with the challenges associated with handling and storage of cohesive solids in the mining industry. An adhesive-frictional model has been recently developed for DEM simulation of cohesive particles at the University of Edinburgh. This project will exploit the new method for modelling cohesive particulates for specific problems, such as effect of fines in silo discharge and the effect of time consolidation.
The Vision of VELaSSCo is to provide new approaches for visual analysis of large-scale simulations for the Exabyte era. It does this by building on big data tools and architectures for the engineering and scientific community and by adopting new ways of in-situ processing for data analytics and hardware accelerated interactive visualization.
This Ph.D. aims to investigate the potential of filamentous green macroalgae (Chlorophyta) to bioremediate wastewaters. This will examine the ability of the macroalgae to sequester excess nutrients in effluent streams, as well as its biosorption and bioaccumulation capacity for heavy metals; with an end goal of using the biomass as a feedstock for bioenergy or for metal reclamation.
