Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100136
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Mobile weather radar system for advanced environmental monitoring and modelling. High spatial and temporal resolution weather radar data on wind and precipitation will translate to significant environmental model advances. Australian researchers will undertake model validation studies on precipitation, dust storm, and flood prediction under a wider range of environmental conditions and in greater detail than currently possible.
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
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
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
Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in r ....Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in rainfall and evaporation at interannual and interdecadal timescales. This project aims to address this problem by providing a comprehensive drought downscaling framework which will provide inputs to water sharing plans that can be used to assess the future risks of droughts in catchments across New South Wales.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
Adapting catchment monitoring and potable water treatment to climate change. Adapting catchment monitoring and potable water treatment to climate change. This project aims to make the water industry capable of foreseeing and managing adverse raw water organic matter quality from the catchment to the treatment plant. It will research the triggers for organic matter excursions that compromise treatment plant performance and affect public health. The project will develop and deploy innovative senso ....Adapting catchment monitoring and potable water treatment to climate change. Adapting catchment monitoring and potable water treatment to climate change. This project aims to make the water industry capable of foreseeing and managing adverse raw water organic matter quality from the catchment to the treatment plant. It will research the triggers for organic matter excursions that compromise treatment plant performance and affect public health. The project will develop and deploy innovative sensors to detect targeted water quality changes at the molecular level in situ and real time, and improve operating strategies for robust and reliable performance of existing treatment plants. This catchment to plant approach is expected to make existing treatment assets more productive and defer additional treatment costs.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
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.