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 real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to stud ....A real-time modelling of crowd dynamics for disaster prevention. This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.Read moreRead less
Innovative tools to improve station design and management of crowds in emergency and panic conditions. This project aims to understand how crowds behave in panic and emergency situations in order to plan evacuation procedures and create the safest designs for our major infrastructures such as large public transport hubs and urban environment.
Vulnerability mapping of hazards and economic loss assessment of offshore oil and gas platforms subject to accidental explosion and fires. In Australia, up to 100 offshore oil and gas wells per year are drilled, but fire and explosion are a risk. This project develops vulnerability maps of offshore platforms subjected to accidental explosions, so that economic loss, environmental and social impact can be effectively assessed based on these factors and mitigation measures can be introduced.
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
Fluorescence as a tool for sensitive detection of failures in recycled water treatment and distribution systems. Water reuse is emerging as a key strategy for the conservation of drinking water supplies around Australia. Accordingly, there is a need for fast, reliable, affordable and highly sensitive means of ensuring the reliability of treatment processes and final water quality. This research aims to meet such needs by providing new tools based on fluorescence analysis. These tools are to be i ....Fluorescence as a tool for sensitive detection of failures in recycled water treatment and distribution systems. Water reuse is emerging as a key strategy for the conservation of drinking water supplies around Australia. Accordingly, there is a need for fast, reliable, affordable and highly sensitive means of ensuring the reliability of treatment processes and final water quality. This research aims to meet such needs by providing new tools based on fluorescence analysis. These tools are to be implemented for online monitoring of treatment performance and for the identification of accidental contamination of drinking waters by recycled water. The enhanced ability to ensure both recycled water quality and drinking water quality will have public health and environmental benefits as well as protecting public confidence in water recycling systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100524
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for ....Interactions between plants and faecal pathogens in urban water treatment: significance of soil microbes, plant debris, root exudates and rhizosphere. It is important to treat pathogens in stormwater and wastewater before release into downstream recreational waters or harvesting. Using plants in water treatment improves the removal of pollutants of concern to human and ecosystem health. However, the exact mechanisms which generate this improvement remain unknown, and this is especially true for faecal pathogen removal. This project will enhance our understanding of the interactive role that roots, their exudates, plant debris and soil microbes play in faecal pathogen removal in urban water treatment systems. Through this understanding, this project will lead to optimised low-energy, low-tech and low-maintenance treatment systems.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
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
From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreationa ....From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreational activities is rising, but waterway managers are under pressure to re-open these rivers for recreation. The project is expected to benefit urban communities by ensuring waterway managers make informed decisions about river recreation.Read moreRead less