Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the resu ....Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the results from this project will advance uncertainty analysis in hydrology and help understand how different types of data and information can inform model characterisation. This will be useful in providing vital information on the attributes and extent of uncertainty to inform water resources analysis, management and decision making.Read moreRead less
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
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.
Flooding in Australia – are we properly prepared for how bad it can get? This project aims to investigate how floods have varied over the past 2000 years. Floods are a recurrent and natural part of Australia’s hydroclimate and are influenced strongly by climate variability. However, these influences are not yet completely understood or accounted for. This project will use novel insights from 2000 years of climate reconstructions to generate new knowledge about how bad flooding can get and what c ....Flooding in Australia – are we properly prepared for how bad it can get? This project aims to investigate how floods have varied over the past 2000 years. Floods are a recurrent and natural part of Australia’s hydroclimate and are influenced strongly by climate variability. However, these influences are not yet completely understood or accounted for. This project will use novel insights from 2000 years of climate reconstructions to generate new knowledge about how bad flooding can get and what causes flood frequency to change over time. A decision-making framework that allows for all the uncertainties associated with managing floods will also be developed. This will provide a critical evaluation of the accuracy of existing flood estimates, and also the reliability of infrastructure and policy based on those estimates.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
P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil ....P-band soil moisture sensing from space. This project aims to develop radiative transfer models to demonstrate that a P-band radiometer capability can remotely sense the top ~15cm layer of soil moisture, through a series of tower and airborne field experiments. Timely soil moisture information on this near-surface layer is critical to improved water management for food production in the face of extreme climate variability. Current satellite technologies are limited to the top ~5cm layer of soil using an L-band radiometer. This project is expected to give farmers the soil moisture data they need to optimise their available water resources to maximise food productionRead 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
Hydrologic effects of human and climatic stresses in water-limited areas: role of coevolving runoff, vegetation and landforms for adaptive management. Semiarid rangelands cover over 70 per cent of the Australian continent. These areas already face serious degradation problems. Observed trends in rainfall variability indicate that high rainfall pulses and dry periods will intensify, with serious implications for hydrology and erosion. The impact of these trends in addition to increasing human pre ....Hydrologic effects of human and climatic stresses in water-limited areas: role of coevolving runoff, vegetation and landforms for adaptive management. Semiarid rangelands cover over 70 per cent of the Australian continent. These areas already face serious degradation problems. Observed trends in rainfall variability indicate that high rainfall pulses and dry periods will intensify, with serious implications for hydrology and erosion. The impact of these trends in addition to increasing human pressures could have devastating socioeconomic consequences for these areas. This project, by examining in detail the hydrologic and soil transport processes in semiarid rangelands, will lead to: better understanding of the dryland response to anthropogenic and climatic stresses; and, improvement of strategies and methods for the management and restoration of these areas.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
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