Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive pla ....Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.Read moreRead less
Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD plannin ....Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD planning tool to support industry and governments to effectively reduce the urban flooding damages. The project outcomes are also applicable for advancing early warning systems and real-time control of floods.Read moreRead less
Assessing Water Supply Security in a Nonstationary Environment. About 25% of the global population currently has inadequate access to safe and secure water. This number is expected to rise to 50% by 2050 due to increased populations and reduced river flows. While a visible water crisis (such as the one in Cape Town in 2018) can culminate in the funding of new water supply infrastructure, a planned push for infrastructure augmentation often stalls due to contradictory projections of how much wate ....Assessing Water Supply Security in a Nonstationary Environment. About 25% of the global population currently has inadequate access to safe and secure water. This number is expected to rise to 50% by 2050 due to increased populations and reduced river flows. While a visible water crisis (such as the one in Cape Town in 2018) can culminate in the funding of new water supply infrastructure, a planned push for infrastructure augmentation often stalls due to contradictory projections of how much water will be available in the future. To address this, a novel alternative for assessing water security is proposed. Our approach assesses change using historical information on river flow and water demand, adapting these to form projections that exhibit greater reliability than currently existing alternatives.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
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.
Optimal trade-offs for managing environmental water in inland wetlands. This project aims to optimise long-term water trade-offs in inland wetlands on managed catchments, without compromising their environmental value. These managed wetlands compete for water allocations with irrigation and other uses. Realistic predictions of wetland status will be achieved through the development and integration of an ecohydrological model and a water management decisions model. Application of the tools will i ....Optimal trade-offs for managing environmental water in inland wetlands. This project aims to optimise long-term water trade-offs in inland wetlands on managed catchments, without compromising their environmental value. These managed wetlands compete for water allocations with irrigation and other uses. Realistic predictions of wetland status will be achieved through the development and integration of an ecohydrological model and a water management decisions model. Application of the tools will improve existing decision support models to help analyse the effects of individual local management decisions on the long-term evolution of the system and the effects of changes in operation policies and climate over the long term. The project will provide critical new information for the improved prediction of wetlands evolution and as a consequence better management.Read moreRead less
Beyond Darcy’s Law: Influence of wettability on multiphase flow in rocks. The project aims to provide new insights into the ways that Australia’s abundant energy resources can be utilized for energy security and environmental stewardship. The simulation workflows and fundamental insights on wettability and porous media flows investigated are intended to provide significant outcomes toward the national priorities. These developments are paramount for various subsurface applications, such as geolo ....Beyond Darcy’s Law: Influence of wettability on multiphase flow in rocks. The project aims to provide new insights into the ways that Australia’s abundant energy resources can be utilized for energy security and environmental stewardship. The simulation workflows and fundamental insights on wettability and porous media flows investigated are intended to provide significant outcomes toward the national priorities. These developments are paramount for various subsurface applications, such as geological storage of CO2, oil/gas recovery, groundwater remediation and energy storage. The oil/gas industry spend hundreds of millions of dollars on core analysis for the determination of rock properties; the proposed research aims to provide the fundamental insights necessary to advance the utility of these measurement. Read moreRead less
Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
The micro-mechanical origins of creep in granular materials. Creep in granular materials is a concern for many problems in technology and science, including long-term deformations of reservoir dams and sudden instabilities along earthquake faults. This project aims to describe the fine-scale origins of granular creep, as a basis for solving problems of much larger-scale in geomechanics and geophysics.
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