Data

Lower Limestone Coast Prescribed Wells Area wetland-groundwater interaction model, version 1.0

Commonwealth Scientific and Industrial Research Organisation
Turnadge, Chris ; Lamontagne, Sebastien
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5c36daa377583&rft.title=Lower Limestone Coast Prescribed Wells Area wetland-groundwater interaction model, version 1.0&rft.identifier=https://doi.org/10.25919/5c36daa377583&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This model demonstrates a methodology for simulating interactions between wetlands and underlying shallow groundwater in the Lower Limestone Coast Prescribed Wells Area. Specifically, the model simulates changes in wetland water levels to variations in water tables. A variant of the industry standard groundwater flow simulation code MODFLOW (i.e. MODFLOW-OWHM) was used as the basis for this approach. Significant components of the water mass balances for both wetland and groundwater domains were included. Of particular novelty was the use of a combined approach to simultaneously represent recharge and evapotranspiration. Model files also include Python language post-processing scripts, which may be used to produce statistical summaries of wetland surface water persistence.The model was demonstrated using a synthetic input dataset. Results of the synthetic demonstration, including the calculated salinisation risk metric, indicated the potential for managed surface water additions to negate the effects of long-term water table decline on the persistence of wetland surface water levels.Lineage: This model was developed by Chris Turnadge and Sebastien Lamontagne, CSIRO Land and Water, with contributions from CSIRO and Flinders University project colleagues..&rft.creator=Turnadge, Chris &rft.creator=Lamontagne, Sebastien &rft.date=2015&rft.edition=v1&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO Australia 2015.&rft_subject=Wetlands&rft_subject=Surface Water&rft_subject=Groundwater&rft_subject=Hydrogeology&rft_subject=Lower Limestone Coast Prescribed Wells Area&rft_subject=Goyder Institute for Water Research&rft_subject=Groundwater hydrology&rft_subject=Hydrology&rft_subject=EARTH SCIENCES&rft_subject=Surface water hydrology&rft.type=dataset&rft.language=English Access the data
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This model demonstrates a methodology for simulating interactions between wetlands and underlying shallow groundwater in the Lower Limestone Coast Prescribed Wells Area. Specifically, the model simulates changes in wetland water levels to variations in water tables. A variant of the industry standard groundwater flow simulation code MODFLOW (i.e. MODFLOW-OWHM) was used as the basis for this approach. Significant components of the water mass balances for both wetland and groundwater domains were included. Of particular novelty was the use of a combined approach to simultaneously represent recharge and evapotranspiration. Model files also include Python language post-processing scripts, which may be used to produce statistical summaries of wetland surface water persistence.
The model was demonstrated using a synthetic input dataset. Results of the synthetic demonstration, including the calculated salinisation risk metric, indicated the potential for managed surface water additions to negate the effects of long-term water table decline on the persistence of wetland surface water levels.
Lineage: This model was developed by Chris Turnadge and Sebastien Lamontagne, CSIRO Land and Water, with contributions from CSIRO and Flinders University project colleagues..

Available: 2015-06-24

Data time period: 2000-01-01 to 2000-01-01

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Subjects
Earth Sciences | Goyder Institute for Water Research | Groundwater | Groundwater Hydrology | Hydrogeology | Hydrology | Lower Limestone Coast Prescribed Wells Area | Surface Water | Surface Water Hydrology | Wetlands |

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ACN 633 798 857