Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely ....Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely collected in Australia's catchments and thereby better predict water quality behaviour. Proposed field studies aim to support this development. The outcomes sought are improved planning and management of water quality in our rivers, lakes and estuaries, improved health of these water bodies and improved water supplies.Read moreRead less
Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to im ....Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to improve hydrological models by including the information of water signals obtained from the near-real-time observations. This should provide significant benefits such as more accurate land saturation maps and better predictions of runoff and flood risk.Read moreRead less
Developing a decision support system for the management of road runoff for water quality protection. Multiple stakeholders share a vested and often significant financial commitment to ensure water quality standards. These industries, in turn, are vital to the social and economic sustainability of many rural communities in Australia. Recent climatic trends of increasing drought episodes and related natural disasters such as bushfires are expected to increase the delivery of sediments and associat ....Developing a decision support system for the management of road runoff for water quality protection. Multiple stakeholders share a vested and often significant financial commitment to ensure water quality standards. These industries, in turn, are vital to the social and economic sustainability of many rural communities in Australia. Recent climatic trends of increasing drought episodes and related natural disasters such as bushfires are expected to increase the delivery of sediments and associated pollutants to streams. The proposed DSS will allow testing of various management scenarios with respect to road position and layout, thereby providing a planning and management tool, and a method to educate the practitioners involved in environmental management in Australia. Read moreRead less
Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies ....Water availability and demand: better forecasts, better management. This project aims to improve Australia’s capability in the provision and use of water forecasts for managing water resources. The current water forecasts are not fully utilised by water agencies as they are not sufficiently comprehensive and advanced. This project expects to achieve a step change in the uptake and utility of hydro-climate forecasts through an extensive partnership of leading researchers and operational agencies of hydro-climate forecasting, with federal, state and regional water agencies.Read moreRead less
Water, carbon, and economics: resolving complex linkages for river health. By linking landscapes into our emerging low-carbon economy, this project will investigate how land management practices can be improved through payments for ecosystem services. With a focus on water and carbon, the main goal is to develop mechanisms to support integrated land and water management at the catchment scale.
Australia's variable rainfall - how dry or wet can it really get? Australia’s rainfall is extremely variable, which means existing weather records are too short to calculate the true risk posed by droughts and floods. This project aims to quantify how naturally variable the rainfall coming from the Indo-Pacific mid-latitudes is, allowing recent rainfall extremes and future projections to be assessed in a long-term context. This project expects to produce new estimates of atmospheric moisture bud ....Australia's variable rainfall - how dry or wet can it really get? Australia’s rainfall is extremely variable, which means existing weather records are too short to calculate the true risk posed by droughts and floods. This project aims to quantify how naturally variable the rainfall coming from the Indo-Pacific mid-latitudes is, allowing recent rainfall extremes and future projections to be assessed in a long-term context. This project expects to produce new estimates of atmospheric moisture budgets between Australia and Antarctica based on a novel, 1000-year length reconstruction of moisture-bearing southern Indian Ocean storms. This new information is critically needed by water managers so that they can properly calculate (and ultimately prepare for) the worst of Australia’s rainfall-related risks.Read moreRead less
A decadal to inter-decadal streamflow prediction system. This project will develop the first ever decadal streamflow prediction system for Australia, leading to predictions of streamflow for the next 10 years and beyond that take into account both natural climatic variability (driven by factors such as the El Nino Southern Oscillation) and changing greenhouse gas concentrations due to a warming planet.
Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaire ....Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaired but must be developed to identify the causes of decline. The intended outcomes are improved sustainable water resource management within and among states, and improved natural resource policy development.Read moreRead less
Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will b ....Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will be combined with isotopic analysis to reveal how environmental and biological factors drive animal movements and impact habitat connectivity. In a world of vanishing top predators, it is imperative to understand system dynamics before we can evaluate the impact of species removal on ecosystem function.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