For the Bioregional Assessment Programme, a chain of and models is developed to probabilistically estimate the hydrological change due to coal resource development in the . The regional-scale of the surface weathered and fractured rock layer, the alluvial groundwater models of the Avon and Karuah systems and the Australian Water Resource Assessment Landscape module (AWRA-L) surface water model are tailored to maximally exploit the relevant temporal and spatial scale and are designed to be conservative, that is, the models overestimate the hydrological change rather than underestimate the change.
The simulations indicate that it is unlikely for the to exceed 1 m at in the surface weathered and fractured rock layer. In the immediate vicinity of coal mines, less than 1 km from the mine footprint, larger may be realised. The year of maximum change increases with increasing distance to the mine footprints. This also means the largest drawdowns due to additional coal resource development occur within or shortly after the active mining period.
At receptors in the alluvium, it is unlikely for the drawdown due to additional coal resource development to exceed 0.2 m. In the Avon alluvium adjacent to the proposed Rocky Hill Mine Complex there is a non-negligible probability of drawdown due to additional coal resource development exceeding 0.2 m. The median year of maximum change at the receptors occurs in the decades after mining operations in the subregion are planned to cease.
From the analysis, it is apparent that the drawdown predictions are most sensitive to the hydraulic properties of the surface weathered and fractured rock layer. The qualitative analysis highlighted that the mine pumping rates are crucial to the predictions. The model choices and assumptions, such as the hybrid modelling approach and the representation of surface water – groundwater interaction, are shown to be conservative. Despite this conservative modelling approach, the predicted hydrological changes are in line with those predicted in earlier local modelling efforts.
The modelling framework is tailored to the specific and receptors and therefore should not be used for any other purpose without a rigorous reassessment of the validity of the model assumptions. The modelling did highlight that improved characterisation of hydraulic properties of the surface weathered and fractured rock layer and more detailed information of local geology around and additional coal resource developments have the most potential to reduce predictive uncertainty.
Product Finalisation date
- 18.104.22.168 Methods
- 22.214.171.124 Review of existing models
- 126.96.36.199 Model development
- 188.8.131.52 Boundary and initial conditions
- 184.108.40.206 Implementation of coal resource development pathway
- 220.127.116.11 Parameterisation
- 18.104.22.168 Observations and predictions
- 22.214.171.124 Uncertainty analysis
- 126.96.36.199 Limitations and conclusions
- Currency of scientific results
- Contributors to the Technical Programme
- About this technical product