A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. ....A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. The improved estimation should enable Australian water agencies and policy-makers to effectively design defence infrastructure (e.g. drainage systems) and urban planning policies to adapt to future flood risk.Read moreRead less
Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global wa ....Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global water and vegetation forecasting model. The resulting improvement in seasonal forecasts of stream flow, soil moisture and crop production will be quantified and compared to the limited forecasts that are currently available.Read moreRead less
Improved rainfall measurement using mobile phone tower link attenuation. The project aims to use the microwave link data between mobile phone towers to complement the sparse rain gauge network in urban areas, to allow more accurate near-real-time monitoring of rainfall. Accurate near-real-time precipitation data at high resolution are critical to flash flood forecasting in and around Australia's capital cities. Current estimates suffer from the limited availability of rain gauge data in urban ar ....Improved rainfall measurement using mobile phone tower link attenuation. The project aims to use the microwave link data between mobile phone towers to complement the sparse rain gauge network in urban areas, to allow more accurate near-real-time monitoring of rainfall. Accurate near-real-time precipitation data at high resolution are critical to flash flood forecasting in and around Australia's capital cities. Current estimates suffer from the limited availability of rain gauge data in urban areas. However, mobile phone towers abound and the microwave links between them can provide information on rainfall intensity, meaning that these data could be used to supplement the rain gauge data. This project plans to develop the technology to generate precipitation maps using mobile phone network link, rain gauge and weather radar data.Read moreRead less
Application of artificial neural network in flood emergency decision support system. This project will develop a method for rapid estimation of flood water levels. This will increase the warning time for flood evacuation in small coastal catchments where traditional estimating techniques are too time-consuming.
Discovery Early Career Researcher Award - Grant ID: DE210100117
Funder
Australian Research Council
Funding Amount
$427,612.00
Summary
Multiobjective optimisation of reservoir operations under uncertainty. This project aims to address a crucial water resources management problem: how to manage reservoirs under uncertainty. This project expects to develop an optimisation-based framework to improve the delivery of water resources from optimised reservoir operational strategies. Expected outcomes include an innovative tool for multiobjective decision-making under uncertainty, and robust operational strategies catering for real-wor ....Multiobjective optimisation of reservoir operations under uncertainty. This project aims to address a crucial water resources management problem: how to manage reservoirs under uncertainty. This project expects to develop an optimisation-based framework to improve the delivery of water resources from optimised reservoir operational strategies. Expected outcomes include an innovative tool for multiobjective decision-making under uncertainty, and robust operational strategies catering for real-world operational situations, including conflicting objectives, natural variability in system inputs, and future uncertainty due to climate change and population growth. The improved decisions will protect lives and assets, and postpone expensive infrastructure upgrades by maximising benefits from current systems.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
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
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.
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
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