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
Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation tec ....Activating lazy stormwater wetlands through real time monitoring & control. Constructed stormwater wetlands are the last line of defence preventing pollution of urban waterways, but wetlands often fail, with their passive operation unable to adapt to the highly variable climate and hydrology they experience. This project aims to use advances in real-time control technology to turn these lazy wetlands into active wetland systems, optimising their performance. It aims to deliver new-generation technologies to enhance water quality treatment, enhance urban water security and guarantee environmental flows to maintain healthy waterways. Working in partnership with waterway managers and water retailers, this project strives to deliver a nationally and globally relevant technology to change how we manage water in cities.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
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While th ....Assessing risk of oligomictic conditions in sub-tropical water supply lakes. Assessing risk of oligomictic conditions in sub-tropical water supply lakes. This project aims to assess the risk of low rates of mixing in sub-tropical drinking water supply reservoirs, using environmental monitoring and numerical modelling. Emerging evidence suggests sub-tropical drinking water supply reservoirs could transition to low mixing states with increasing age and projected changes in global climate. While this risk is poorly understood, it could significantly affect the long-term reliability of water supply and potable water treatment costs. Addressing this knowledge gap is expected to develop effective management responses to ensure the long term sustainable use of these water resources.Read moreRead less
Special Research Initiatives - Grant ID: SR180100040
Funder
Australian Research Council
Funding Amount
$381,468.00
Summary
Efficient PFAS removal from urban wastewater using a novel two-step approach. This project aims to enhance the removal of per- and poly-fluroalkyl substances (PFAS) compounds from municipal wastewater by making two simple amendments to standard wastewater treatment plants. Magnetite nanoparticles will be added to the treatment process, which adsorb PFAS compounds and reduce them to acceptable environmental levels. The resulting sludge will be dried and ashed in a simple and novel self-sustaining ....Efficient PFAS removal from urban wastewater using a novel two-step approach. This project aims to enhance the removal of per- and poly-fluroalkyl substances (PFAS) compounds from municipal wastewater by making two simple amendments to standard wastewater treatment plants. Magnetite nanoparticles will be added to the treatment process, which adsorb PFAS compounds and reduce them to acceptable environmental levels. The resulting sludge will be dried and ashed in a simple and novel self-sustaining smoldering process which will render the captured PFAS to small ash, condensate and gaseous streams suitable for established destruction technologies. The project is expected to provide support to water utilities in achieving sustainable water treatment and result in environmental and social benefits to the community.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
Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in res ....Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in response to ventilation and dynamic wastewater and atmospheric conditions, enabling model-based sewer ventilation design and operation. The project also aims to deliver novel, field-demonstrated ventilation strategies. The project findings will be incorporated in the Australian ventilation design and operation guidelines.Read moreRead less
Sustainable Water Reuse and Resource Recovery through Cost-Effective BNR. The recycling of treated wastewater effluents is needed to achieve water security, where very low nitrogen (N) and phosphorus (P) levels must be achieved for wastewater to be effectively recycled. This research investigates a more sustainable and cost-effective N&P removal process from wastewater, benefiting the environment and improving the viability of wastewater recycling. Phosphorus is a limited resource worldwide and ....Sustainable Water Reuse and Resource Recovery through Cost-Effective BNR. The recycling of treated wastewater effluents is needed to achieve water security, where very low nitrogen (N) and phosphorus (P) levels must be achieved for wastewater to be effectively recycled. This research investigates a more sustainable and cost-effective N&P removal process from wastewater, benefiting the environment and improving the viability of wastewater recycling. Phosphorus is a limited resource worldwide and will be effectively recovered in the process to be used as a fertiliser. This project develops wastewater treatment process tools, solutions and management strategies that addresses the current challenges of how optimal nutrient removal and recovery from wastewater is achieved, enabling water recycling and saving costs.Read moreRead less
Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less