Discovery Early Career Researcher Award - Grant ID: DE220100907
Funder
Australian Research Council
Funding Amount
$434,107.00
Summary
Tracking groundwater variations via 4-dimensional seismic imaging. This project aims to develop an advanced seismic framework to sense subtle subsurface changes related to groundwater variations beneath the Great Artesian Basin. Groundwater storage is subject to climatic and anthropogenic forcing, but modern monitoring tools are not sufficient to capture its detailed response in both time and space. Using novel techniques and extensive seismic recordings, this project expects to generate time-la ....Tracking groundwater variations via 4-dimensional seismic imaging. This project aims to develop an advanced seismic framework to sense subtle subsurface changes related to groundwater variations beneath the Great Artesian Basin. Groundwater storage is subject to climatic and anthropogenic forcing, but modern monitoring tools are not sufficient to capture its detailed response in both time and space. Using novel techniques and extensive seismic recordings, this project expects to generate time-lapse images across the basin in unprecedented resolution to reveal the system's dynamic evolution and a static basin model to aid the interpretation. Potential benefits include improved geophysical techniques for groundwater tracking and enhanced scientific understandings to underpin future groundwater management.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