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6 months ago Review Requested
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Open dansand opened 6 months ago
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6 months ago A review of this submission has been requested from @ModelAtlasofTheEarth/model_reviewers
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6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater-1
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6 months ago Thank you for submitting.
Using Github actions, we have regenerated a report summarising information about your model
Please check the report below, including the Errors and Warnings section
You can update any information, by editing the markdown file at the top of the issue
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Model Submitter:
Dan Sandiford (0000-0002-2207-6837)
Model Creator(s):
Model name:
mather-2022-groundwater
(this will be the name of the model repository when created)
Model long name:
Constraining the response of continental-scale groundwater flow to climate change
License:
Creative Commons Attribution 4.0 International
Model Category:
Model Status:
Associated Publication title:
Constraining the response of continental-scale groundwater flow to climate change
Abstract:
Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.
Scientific Keywords:
Funder(s):
No embargo on model contents requested**Include model code:**
True
Model code existing URL/DOI:
https://github.com/brmather/Sydney_Basin/tree/master
Model code notes:
In the Scripts folder, HL05 was used to run the optimisation problem and HL06 was used to take the maximum a posteriori model and run it at high resolution.
Include model output data:
True
Model output data notes:
model_output_data contains the following file types:
.h5 - Underworld2 data files .xdmf- Underworld2 xdmf header files .csv - Various data in csv format .npz - data on numpy binary format .png - image files .pvsm - Paraview state files .txt - data in .txt format
Software Framework DOI/URL:
Found software: Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Software Repository:
https://github.com/underworldcode/underworld2
Name of primary software framework:
Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Software & algorithm keywords:
Landing page image:
Filename: []()
Animation:
Filename: []()
Graphic abstract:
Filename: fig1.png
Caption: Coupled heat-groundwater flow model of the Sydney–Gunnedah–Bowen Basin based on the MAP estimate of material properties and boundary conditions. (A) Groundwater velocity field with coal seams outlined in grey overlain with temperature gradients measured in boreholes. This visualisation of the velocity field obtained from our model was rendered in 3D using Paraview 5.9 (https://www.paraview.org/). (B) temperature field overlain with heat flux vectors. The 2D slice was generated from our models using Matplotlib 3.4 (https://matplotlib.org/).
Model setup figure:
Filename: figure_2.png
Caption: 3D stratigraphy of the Sydney–Gunnedah–Bowen Basin. The vertical spacing of layers has been exaggerated for visual clarity. The model of the basin was rendered in 3D using Underworld.
Description: In this paper, we apply our numerical framework to the Sydney–Gunnedah–Bowen (SGB) Basin in eastern Australia. The SGB Basin covers about 1.5 million square kilometers, and we model it in high-resolution 3D, using over 10 million cells (or 6 x 6 x 0.6 km, in the x, y, z directions, respectively) to detail flow patterns down to 12 km beneath the crust. By adjusting the model to match real-world data, it provides accurate insights into water and heat movement through deep aquifers in large areas. Temperature advection due to groundwater flow is described by the advection-diffusion equation. Darcy flux is calculated from the groundwater flow equation. Groundwater recharge and discharge are driven by changes in hydraulic head, which is set to the height of the water table at the top boundary surface. The thermal boundary conditions include a constant temperature set to the top boundary, which corresponds to the annual mean surface temperature. The side walls are assigned zero flux, and the bottom temperature boundary is an unknown variable that we invert from borehole temperature data within our Bayesian optimization scheme.
Associated Publication Error fetching metadata with application/ld+json from https://api.crossref.org/works/http://dx.doi.org/10.1038/s41598-022-08384-w: 406 Client Error: Not Acceptable for url: https://api.crossref.org/works/http://dx.doi.org/10.1038/s41598-022-08384-w Software Framework DOI/URI doi.org metadata record succesfully extracted in json-ld format Submitter ORCID metadata record succesfully extracted in json-ld format
Model creators
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
Could not parse Embargo date. Check format is
Model creators
Error: no data creators found
Model output DOI
Warning: No DOI/URI provided.
Landing page image
Error: No image uploaded.
Animation Warning: No animation uploaded.
model_reviewers team has approved the model, we will create a repository for your model m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
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commented
6 months ago Unfortunately, the workflow to create the model repo has failed. View the logs here for more information:
You may need to delete the following repo that was created via this workflow run since the run was not fully successful: ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Thank you for submitting.
Using Github actions, we have regenerated a report summarising information about your model
Please check the report below, including the Errors and Warnings section
You can update any information, by editing the markdown file at the top of the issue
these edits will trigger the report will be regenerated
once you are satisfied with the results, please add a https://github.com/ModelAtlasofTheEarth/model_submission/labels/review%20requested label
Model Submitter:
Dan Sandiford (0000-0002-2207-6837)
Model Creator(s):
Model name:
mather-2022-groundwater-1
(this will be the name of the model repository when created)
Model long name:
Constraining the response of continental-scale groundwater flow to climate change
License:
Creative Commons Attribution 4.0 International
Model Category:
Model Status:
Associated Publication title:
Constraining the response of continental-scale groundwater flow to climate change
Abstract:
Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.
Scientific Keywords:
Funder(s):
No embargo on model contents requested**Include model code:**
True
Model code existing URL/DOI:
https://github.com/brmather/Sydney_Basin/tree/master
Model code notes:
In the Scripts folder, HL05 was used to run the optimisation problem and HL06 was used to take the maximum a posteriori model and run it at high resolution.
Include model output data:
True
Model output data notes:
model_output_data contains the following file types:
.h5 - Underworld2 data files .xdmf- Underworld2 xdmf header files .csv - Various data in csv format .npz - data on numpy binary format .png - image files .pvsm - Paraview state files .txt - data in .txt format
Software Framework DOI/URL:
Found software: Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Software Repository:
https://github.com/underworldcode/underworld2
Name of primary software framework:
Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Software & algorithm keywords:
Landing page image:
Filename: []()
Animation:
Filename: []()
Graphic abstract:
Filename: fig1.png
Caption: Coupled heat-groundwater flow model of the Sydney–Gunnedah–Bowen Basin based on the MAP estimate of material properties and boundary conditions. (A) Groundwater velocity field with coal seams outlined in grey overlain with temperature gradients measured in boreholes. This visualisation of the velocity field obtained from our model was rendered in 3D using Paraview 5.9 (https://www.paraview.org/). (B) temperature field overlain with heat flux vectors. The 2D slice was generated from our models using Matplotlib 3.4 (https://matplotlib.org/).
Model setup figure:
Filename: figure_2.png
Caption: 3D stratigraphy of the Sydney–Gunnedah–Bowen Basin. The vertical spacing of layers has been exaggerated for visual clarity. The model of the basin was rendered in 3D using Underworld.
Description: In this paper, we apply our numerical framework to the Sydney–Gunnedah–Bowen (SGB) Basin in eastern Australia. The SGB Basin covers about 1.5 million square kilometers, and we model it in high-resolution 3D, using over 10 million cells (or 6 x 6 x 0.6 km, in the x, y, z directions, respectively) to detail flow patterns down to 12 km beneath the crust. By adjusting the model to match real-world data, it provides accurate insights into water and heat movement through deep aquifers in large areas. Temperature advection due to groundwater flow is described by the advection-diffusion equation. Darcy flux is calculated from the groundwater flow equation. Groundwater recharge and discharge are driven by changes in hydraulic head, which is set to the height of the water table at the top boundary surface. The thermal boundary conditions include a constant temperature set to the top boundary, which corresponds to the annual mean surface temperature. The side walls are assigned zero flux, and the bottom temperature boundary is an unknown variable that we invert from borehole temperature data within our Bayesian optimization scheme.
Associated Publication Error fetching metadata with application/ld+json from https://api.crossref.org/works/http://dx.doi.org/10.1038/s41598-022-08384-w: 406 Client Error: Not Acceptable for url: https://api.crossref.org/works/http://dx.doi.org/10.1038/s41598-022-08384-w Software Framework DOI/URI doi.org metadata record succesfully extracted in json-ld format Submitter ORCID metadata record succesfully extracted in json-ld format
Model creators
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
Model Repository Slug
Warning: Model repo cannot be created with proposed slug mather-2022-groundwater.
Either propose a new slug or repo will be created with name mather-2022-groundwater-1.
Could not parse Embargo date. Check format is
Model creators
Error: no data creators found
Model output DOI
Warning: No DOI/URI provided.
Landing page image
Error: No image uploaded.
Animation Warning: No animation uploaded.
model_reviewers team has approved the model, we will create a repository for your model m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
m-te-bot[bot]
commented
6 months ago Model repository created at https://github.com/ModelAtlasofTheEarth/mather-2022-groundwater
-> submitter ORCID (or name)
0000-0002-2207-6837
-> slug
mather-2022-groundwater
-> license
CC-BY-4.0
-> alternative license URL
No response
-> model category
model published in study, inverse model
-> model status
completed
-> associated publication DOI
http://dx.doi.org/10.1038/s41598-022-08384-w
-> model creators
0000-0003-3566-1557 0000-0002-3334-5764 0000-0002-6034-1881 0000-0002-7182-1864 0000-0002-6557-0237 0000-0003-3685-174X
-> title
No response
-> description
This model was developed in order to study groundwater flow on a continental scale, focusing on the Sydney–Gunnedah–Bowen Basin in Australia. Using data such as hydraulic head measurements and borehole temperatures, it predicts how water moves through deep aquifers to the surface. Coastal aquifers show fast water flow, while inland aquifers have much slower flow. The study shows that increased water extraction from inland areas could permanently change water flow patterns. This open-source model can be used for other regions and aims to support sustainable groundwater management policies
-> abstract
Numerical models of groundwater flow play a critical role for water management scenarios under climate extremes. Large-scale models play a key role in determining long range flow pathways from continental interiors to the oceans, yet struggle to simulate the local flow patterns offered by small-scale models. We have developed a highly scalable numerical framework to model continental groundwater flow which capture the intricate flow pathways between deep aquifers and the near-surface. The coupled thermal-hydraulic basin structure is inferred from hydraulic head measurements, recharge estimates from geochemical proxies, and borehole temperature data using a Bayesian framework. We use it to model the deep groundwater flow beneath the Sydney–Gunnedah–Bowen Basin, part of Australia’s largest aquifer system. Coastal aquifers have flow rates of up to 0.3 m/day, and a corresponding groundwater residence time of just 2,000 years. In contrast, our model predicts slow flow rates of 0.005 m/day for inland aquifers, resulting in a groundwater residence time of 400,000 years. Perturbing the model to account for a drop in borehole water levels since 2000, we find that lengthened inland flow pathways depart significantly from pre-2000 streamlines as groundwater is drawn further from recharge zones in a drying climate. Our results illustrate that progressively increasing water extraction from inland aquifers may permanently alter long-range flow pathways. Our open-source modelling approach can be extended to any basin and may help inform policies on the sustainable management of groundwater.
-> scientific keywords
groundwater, thermal-hydraulic, Bayesian, water-management
-> funder
NSW Department of Industry https://ror.org/04s1m4564
-> model embargo?
No response
-> include model code ?
-> model code/inputs DOI
https://github.com/brmather/Sydney_Basin/tree/master
-> model code/inputs notes
In the Scripts folder, HL05 was used to run the optimisation problem and HL06 was used to take the maximum a posteriori model and run it at high resolution.
-> include model output data?
-> data creators
No response
-> model output data DOI
No response
-> model output data notes
model_output_data contains the following file types:
.h5 - Underworld2 data files .xdmf- Underworld2 xdmf header files .csv - Various data in csv format .npz - data on numpy binary format .png - image files .pvsm - Paraview state files .txt - data in .txt format
-> model output data size
15 Gb
-> software framework DOI/URI
https://doi.org/10.5281/zenodo.7455999
-> software framework source repository
https://github.com/underworldcode/underworld2
-> name of primary software framework (e.g. Underworld, ASPECT, Badlands, OpenFOAM)
No response
-> software framework authors
No response
-> software & algorithm keywords
Python, C, finite element, heat equation, advection-diffusion
-> computer URI/DOI
https://ror.org/04yx6dh41
-> add landing page image and caption
No response
-> add an animation (if relevant)
No response
-> add a graphic abstract figure (if relevant)
Coupled heat-groundwater flow model of the Sydney–Gunnedah–Bowen Basin based on the MAP estimate of material properties and boundary conditions. (A) Groundwater velocity field with coal seams outlined in grey overlain with temperature gradients measured in boreholes. This visualisation of the velocity field obtained from our model was rendered in 3D using Paraview 5.9 (https://www.paraview.org/). (B) temperature field overlain with heat flux vectors. The 2D slice was generated from our models using Matplotlib 3.4 (https://matplotlib.org/).
-> add a model setup figure (if relevant)
3D stratigraphy of the Sydney–Gunnedah–Bowen Basin. The vertical spacing of layers has been exaggerated for visual clarity. The model of the basin was rendered in 3D using Underworld.
-> add a description of your model setup
In this paper, we apply our numerical framework to the Sydney–Gunnedah–Bowen (SGB) Basin in eastern Australia. The SGB Basin covers about 1.5 million square kilometers, and we model it in high-resolution 3D, using over 10 million cells (or 6 x 6 x 0.6 km, in the x, y, z directions, respectively) to detail flow patterns down to 12 km beneath the crust. By adjusting the model to match real-world data, it provides accurate insights into water and heat movement through deep aquifers in large areas. Temperature advection due to groundwater flow is described by the advection-diffusion equation. Darcy flux is calculated from the groundwater flow equation. Groundwater recharge and discharge are driven by changes in hydraulic head, which is set to the height of the water table at the top boundary surface. The thermal boundary conditions include a constant temperature set to the top boundary, which corresponds to the annual mean surface temperature. The side walls are assigned zero flux, and the bottom temperature boundary is an unknown variable that we invert from borehole temperature data within our Bayesian optimization scheme.
Please provide any feedback on the model submission process?
No response