Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of opera ....Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of operation. These models will then be able to describe the changes in emission characteristics under different commercial vehicle operating modes for a range of commercial vehicle types.Read moreRead less
Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient co ....Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient concentrations, pose a significant threat to waterways yet a process-based description of phosphorus release is not yet possible. The outcome will be a verified model of phosphorus release mechanisms suitable for a range of water bodies.Read moreRead less
Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network ....Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network effects and limitations with traditional traffic models. The project will overcome this difficulty by using a current state of the art traffic microsimulation model in order to test various ITS scenarios in a duplicate of a real world CBD.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Robust streamflow predictions by improving the identification of hydrological model structure. This project aims to provide Australian environmental agencies, design engineers and policy-makers with robust methods that better utilise observed environmental data and process understanding to produce hydrological models with stronger scientific basis and improved operational predictive ability in gauged and ungauged catchments.