Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less
The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments. The project will aim to collate data and map base-level distribution patterns of molecular and microbial markers of human sewage and natural/agricultural contamination with reference to diurnal and seasonal fluctuations. These data will then be used to develop decision support systems that predict contaminant dispersion and identify high-risk c ....The characterisation of wastewater distribution patterns for the production of decision support systems for pathogenic risk analysis in water catchments. The project will aim to collate data and map base-level distribution patterns of molecular and microbial markers of human sewage and natural/agricultural contamination with reference to diurnal and seasonal fluctuations. These data will then be used to develop decision support systems that predict contaminant dispersion and identify high-risk contamination sources. The diurnal collection of data is expected to show significant variations in the measured parameters associated with time of day, light intensity and temperature. Mapping of the sewage and nutrient loads throughout the year will provide base line data for identifying potential hotspots for targeting system upgrades or improved management programs.Read moreRead less
The Development of a Model for Confined Water Sensitive Urban Design (WSUD) Stormwater Filtration/Infiltration Systems for Australian Conditions. There is an increasing strain on scarce Australian water supplies and this requires effective water cycle management and protection of water resources as a whole. The proposed research aims to develop a model for the effective management of stormwater runoff through the investigation of confined filtration and infiltration devices in four separate loca ....The Development of a Model for Confined Water Sensitive Urban Design (WSUD) Stormwater Filtration/Infiltration Systems for Australian Conditions. There is an increasing strain on scarce Australian water supplies and this requires effective water cycle management and protection of water resources as a whole. The proposed research aims to develop a model for the effective management of stormwater runoff through the investigation of confined filtration and infiltration devices in four separate locations. These confined systems will minimise the impacts of pollutant concentrations on native soils and groundwater. A model will be developed to predict required native soil permeabilities and residence times for adequate tertiary treatment in a variety of Australian conditions for non-potable reuse of runoff and/or groundwater recharge.Read moreRead less
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
Impact of rolling dynamic compaction. The project will lead to improved understanding and greater use of rolling dynamic compaction (RDC). RDC is a relatively new compaction technique that can be used to improve soft and derelict ground prior to the construction of roads, railways, subdivisions and structures. This project will also lead to greatly reduced ground improvement costs.
Validation and monitoring of advanced oxidation for potable water reuse. This project aims to address an important limitation in the ability to monitor performance of advanced oxidation processes used to treat recycled water for drinking. The project will be conducted using a novel pilot system, designed to facilitate flexible operation and detailed monitoring. Through carefully designed experiments, observed operational parameters will be related to treatment performance for a range of contamin ....Validation and monitoring of advanced oxidation for potable water reuse. This project aims to address an important limitation in the ability to monitor performance of advanced oxidation processes used to treat recycled water for drinking. The project will be conducted using a novel pilot system, designed to facilitate flexible operation and detailed monitoring. Through carefully designed experiments, observed operational parameters will be related to treatment performance for a range of contaminants. An expected outcome is the development of a framework to provide validation of process performance relationships and ongoing performance monitoring for use by water utilities and regulatory agencies that oversee their operations. This highly practical framework for validation and performance monitoring of an advanced water treatment process should result in improved viability of water recycling projects, increased urban water supply security and enhanced protection of public health.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101155
Funder
Australian Research Council
Funding Amount
$425,952.00
Summary
From stormwater to potable water via Water Sensitive Urban Design? The project aims to develop a framework that contains viable procedures to quantify, control and monitor the health risks associated with stormwater harvesting using Water Sensitive Urban Design (WSUD) systems (i.e., natural-based solutions). It expects to address the concerns about the safety of stormwater harvesting via WSUD for all end-uses. It will generate new knowledge regarding the real time control and monitoring of WSUD, ....From stormwater to potable water via Water Sensitive Urban Design? The project aims to develop a framework that contains viable procedures to quantify, control and monitor the health risks associated with stormwater harvesting using Water Sensitive Urban Design (WSUD) systems (i.e., natural-based solutions). It expects to address the concerns about the safety of stormwater harvesting via WSUD for all end-uses. It will generate new knowledge regarding the real time control and monitoring of WSUD, thus truly advancing the WUSD technology as emerging urban green infrastructure for reliable stormwater harvesting. Expected outcomes include next generation of WSUDs implemented with real time control techniques, as well as a suite of easy-to-measure surrogate parameters for real time water quality monitoring.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.
Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution model ....Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution modelling knowledge gaps and the lack of a multidisciplinary approach to stormwater pollution management is urgent. The anticipated outcome is a modelling tool which industry can use to manage stormwater pollution in changing cities through smarter and economic technology and policy.Read moreRead less