Discovery Early Career Researcher Award - Grant ID: DE130100205
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Optimisation of transit priority in a transportation network. This project is aimed at developing an optimised approach to combine various types of public transport priority in an urban network which can be used by transport planners to increase the efficiency of traffic movements and reduce traffic congestion. The case study is the network of Brisbane including all arterial and local roads.
Megadrought likelihood and its water resource impacts in Australia. This interdisciplinary project plans to assemble a world-class team of hydrologists, climate scientists and water managers to investigate the history and future risk of decadal to multidecadal droughts (megadroughts). Despite Australia’s vulnerability to water scarcity, the likelihood of persistent megadroughts has not been assessed in Australia. This has resulted in inadequate capacity to prepare for and adapt to megadrought un ....Megadrought likelihood and its water resource impacts in Australia. This interdisciplinary project plans to assemble a world-class team of hydrologists, climate scientists and water managers to investigate the history and future risk of decadal to multidecadal droughts (megadroughts). Despite Australia’s vulnerability to water scarcity, the likelihood of persistent megadroughts has not been assessed in Australia. This has resulted in inadequate capacity to prepare for and adapt to megadrought under future climate change. For the first time, palaeoclimate reconstructions and climate change projections will be used to constrain future hydroclimatic variability, advancing the decision-making capacity of Australian water resource managers.Read moreRead less
Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual interve ....Optimal maintenance planning for critical mining and energy infrastructure. This project aims to develop cutting-edge mathematical algorithms for optimising maintenance activities in the mining and energy sectors. Such maintenance activities are prone to budget and time overruns due to poor planning - the result of outdated, inefficient manual processes. The project is expected to result in new maintenance planning methods, underpinned by rigorous mathematical theory, for reducing manual intervention and optimising both short- and long-term maintenance based on real-time sensor data. These new methods will be powerful tools for tackling the complexity of large-scale, time-critical maintenance projects, driving productivity in the resources industry and fostering collaboration between mathematicians and engineers.Read moreRead less
Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce ....Design and Construction Error Mitigation in Infrastructure Projects. Human errors committed during the design and construction process of infrastructure projects increase costs by as much as 25 per cent. The costs associated with such errors would be significantly higher in the event of an engineering failure and loss of life. This research will develop a model that can be used to mitigate errors and improve the performance and safety of infrastructure projects. A reduction in errors will reduce the financial burden placed on taxpayers for cost overruns experienced as well as improve the profitability of organisations. This will lead to greater investment, and contribution to gross domestic product.Read moreRead less
A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mech ....A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mechanisms (e.g. convective, frontal or orographic). The research aims to provide projections in the form of intensity-frequency-duration curves, areal reduction factors and antecedent rainfall depths. Engineers are expected to use this information to design infrastructure and urban planning policies to adapt to future flood risk.Read moreRead less
Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global wa ....Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global water and vegetation forecasting model. The resulting improvement in seasonal forecasts of stream flow, soil moisture and crop production will be quantified and compared to the limited forecasts that are currently available.Read moreRead less
Reconstructing millennial-scale streamflow variability to assess near-future risks to water-generated renewable energy. Hydroelectric power is a key component of Australia's national renewable energy policy. The project will combine Hydro Tasmania's water supply and distribution network with historical reconstructions of streamflow variability to conduct stress tests of future water supplies and hydroelectric generating capacity for the Australian power grid.
Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in r ....Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in rainfall and evaporation at interannual and interdecadal timescales. This project aims to address this problem by providing a comprehensive drought downscaling framework which will provide inputs to water sharing plans that can be used to assess the future risks of droughts in catchments across New South Wales.Read moreRead less
Optimising the design and implementation of public transport priority initiatives. This project strengthens national approaches to a pervasive Australian problem, growing traffic congestion deteriorating liveability, environmental health & economic performance of the cities where most Australians live. Public transport can address these issues but most is provided by buses which are caught up in traffic congestion. This project improves approaches for traffic priority design to improve the eff ....Optimising the design and implementation of public transport priority initiatives. This project strengthens national approaches to a pervasive Australian problem, growing traffic congestion deteriorating liveability, environmental health & economic performance of the cities where most Australians live. Public transport can address these issues but most is provided by buses which are caught up in traffic congestion. This project improves approaches for traffic priority design to improve the effectiveness and efficiency of on-road public transport. It optimises the design of individual and groups of priority treatments and will generate diagnostic tools to better target priority treatments. Findings will better focus Australia's approach to increasingly challenging transport futures.Read moreRead less
A new strategy for design flood estimation in a nonstationary climate. Evidence suggests that global warming will result in an increase in the frequency and/or magnitude of heavy rainfall, leading to flooding with potentially devastating consequences. This study provides a renewed focus on design flood estimation that takes into account a changing climate where assumptions of stationarity are no longer tenable.