Erosion of embankment dams and dam spillways. In excess of $250M is spent annually to maintain, upgrade, improve safety and monitor performance of Australian dams. Improved methods for assessing both spillway and internal erosion, the cause of 50 per cent of embankment dam failures and incidents requiring repairs, will be developed, maximising dam safety and minimising maintenance expenditure.
Combining transient micro-reflections and multi-sensor arrays for condition assessment of buried pipes. This project will develop an accurate and reliable approach for assessing the condition of pipelines. This new approach will reduce costs and save considerable amounts of water each year, as it will assist utilities in preventing major failures such as pipe bursts, and performing strategically targeted maintenance, replacement and rehabilitation.
Optimal scheduling of urban bulk water systems under uncertainty. This project will develop a new optimisation framework for planning and operation of urban bulk water systems that incorporates flexibility to adapt to changing circumstances. Population growth in major Australian cities, coupled with a potentially drying climate, is putting pressure on existing water supply. To avoid the risk of overinvesting and losing future flexibility, water utilities have to develop plans for the future, a t ....Optimal scheduling of urban bulk water systems under uncertainty. This project will develop a new optimisation framework for planning and operation of urban bulk water systems that incorporates flexibility to adapt to changing circumstances. Population growth in major Australian cities, coupled with a potentially drying climate, is putting pressure on existing water supply. To avoid the risk of overinvesting and losing future flexibility, water utilities have to develop plans for the future, a task made difficult by uncertainty about future climate and demand. The framework is intended to explicitly deal with uncertainty about future demand and climate change, to ensure that solutions can cope with plausible but unexpected futures. The project will apply this framework to the bulk water supply for Sydney.Read moreRead less
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.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
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
Adapting catchment monitoring and potable water treatment to climate change. Adapting catchment monitoring and potable water treatment to climate change. This project aims to make the water industry capable of foreseeing and managing adverse raw water organic matter quality from the catchment to the treatment plant. It will research the triggers for organic matter excursions that compromise treatment plant performance and affect public health. The project will develop and deploy innovative senso ....Adapting catchment monitoring and potable water treatment to climate change. Adapting catchment monitoring and potable water treatment to climate change. This project aims to make the water industry capable of foreseeing and managing adverse raw water organic matter quality from the catchment to the treatment plant. It will research the triggers for organic matter excursions that compromise treatment plant performance and affect public health. The project will develop and deploy innovative sensors to detect targeted water quality changes at the molecular level in situ and real time, and improve operating strategies for robust and reliable performance of existing treatment plants. This catchment to plant approach is expected to make existing treatment assets more productive and defer additional treatment costs.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.
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.