Hydrogeological drivers and fate of spring flow in a semi-arid setting. In arid and semi-arid climates, aquatic and terrestrial ecosystems often rely on groundwater springs. Spring hydrology depends on complex relationships between underlying aquifers and surface conditions, leading to high uncertainties in understanding aquifer-spring-wetland hydrology, which is critical for spring ecosystem protection and to inform management of relevant groundwater-affecting activities. This project will appl ....Hydrogeological drivers and fate of spring flow in a semi-arid setting. In arid and semi-arid climates, aquatic and terrestrial ecosystems often rely on groundwater springs. Spring hydrology depends on complex relationships between underlying aquifers and surface conditions, leading to high uncertainties in understanding aquifer-spring-wetland hydrology, which is critical for spring ecosystem protection and to inform management of relevant groundwater-affecting activities. This project will apply novel hydrogeophysical and hydrochemical methods, and computer modelling, to investigate the source aquifer of, and fate of discharge from the Doongmabulla Springs Complex (DSC), located in an area of future development. Project results will inform spring vulnerability to development pressures and climate effects.Read moreRead less
Restoration trajectories of stream ecosystems degraded by urban stormwater runoff: a large-scale experiment in urban hydrology and stream ecology. This project aims to assess innovative dispersed stormwater retention systems in catchments for protection and restoration of urban streams. It will improve the ecological condition of several study streams and provide scientific support for new policies and practices for urban water management, with multiple environmental and community benefits.
Discovery Early Career Researcher Award - Grant ID: DE220100852
Funder
Australian Research Council
Funding Amount
$455,766.00
Summary
Breathing streams: integrating aquatic emissions into carbon budgets. This project aims to determine the amount of greenhouse gases emitted by small streams across the Australian tropics, a potential hotspot for emissions of carbon dioxide and methane. The project expects to investigate the controls on gaseous emissions from stream to regional scales using a novel combination of gas tracer experiments, remote sensing techniques and machine learning algorithms. Expected outcomes include the devel ....Breathing streams: integrating aquatic emissions into carbon budgets. This project aims to determine the amount of greenhouse gases emitted by small streams across the Australian tropics, a potential hotspot for emissions of carbon dioxide and methane. The project expects to investigate the controls on gaseous emissions from stream to regional scales using a novel combination of gas tracer experiments, remote sensing techniques and machine learning algorithms. Expected outcomes include the development of a predictive model of gas exchange and the first estimate of gaseous emissions from the Australian tropics. This should provide significant benefits such as reducing uncertainties on the national carbon budget and avoiding misalignment of greenhouse gas abatement policies.Read moreRead less
The role of turbulence in transporting waterborne material within streambed sediments and across the sediment-water interface. The sediments of rivers, lakes and coastal ocean filter waterborne contaminants. This project uses novel experimental techniques to investigate the role of turbulence in transporting contaminants between water and boundary sediments. This project will inform better management of waterborne contaminants with benefits for human and ecosystem health.
Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. ....Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.Read moreRead less
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
Maximising carbon sequestration in freshwater wetlands. Maximising carbon sequestration in freshwater wetlands. This project aims to determine how manipulation of wetland hydrology can alter sulphur and iron cycling to inhibit methane emission and improve wetland net-carbon sequestration. Wetlands are among earth's most efficient ecosystems for carbon sequestration, but methane emission can offset this capacity. Redox cycling of sulphur and iron in wetlands can inhibit methane emission, but the ....Maximising carbon sequestration in freshwater wetlands. Maximising carbon sequestration in freshwater wetlands. This project aims to determine how manipulation of wetland hydrology can alter sulphur and iron cycling to inhibit methane emission and improve wetland net-carbon sequestration. Wetlands are among earth's most efficient ecosystems for carbon sequestration, but methane emission can offset this capacity. Redox cycling of sulphur and iron in wetlands can inhibit methane emission, but the precise biogeochemical processes and their efficiency are very poorly constrained due to a lack of studies—especially in Australian freshwater wetlands. This project is expected to inhibit methane emission in freshwater wetlands and maximise their net carbon sequestration efficiency.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 new method for identifying actual groundwater contributions to base flow using both stream flow and groundwater head data. Estimating the groundwater contribution to river flow is difficult but critical for managing water resources and protecting stream environments. This project will deliver better methods for estimating these contributions using existing stream flow and groundwater data.
A new-generation flood forecasting system using observations from space. Floods are dangerous and expensive, costing Australia more than any other cause of natural disaster. This project will use satellite measurements of soil moisture and rainfall along with computer models to improve the Bureau of Meteorology’s predictions of floods in rivers. Better flood forecasts will reduce costs and save lives.