Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column (doi:10.18419/darus-3276)

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Document Description

Citation

Title:

Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column

Identification Number:

doi:10.18419/darus-3276

Distributor:

DaRUS

Date of Distribution:

2023-02-13

Version:

1

Bibliographic Citation:

Keim, Leon; Class, Holger; Schirmer, Larissa; Strauch, Bettina; Wendel, Kai; Zimmer, Martin, 2023, "Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column", https://doi.org/10.18419/darus-3276, DaRUS, V1

Study Description

Citation

Title:

Code for: Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond With Aqueous Concentrations in a Stagnant Water Column

Identification Number:

doi:10.18419/darus-3276

Authoring Entity:

Keim, Leon (Universität Stuttgart)

Class, Holger (Universität Stuttgart)

Schirmer, Larissa (Universität Stuttgart)

Strauch, Bettina (GFZ German Research Centre for Geosciences)

Wendel, Kai (Universität Stuttgart)

Zimmer, Martin (GFZ German Research Centre for Geosciences)

Grant Number:

327154368 - SFB 1313

Grant Number:

EXC 2075 - 390740016

Distributor:

DaRUS

Access Authority:

Keim, Leon

Depositor:

Keim, Leon

Date of Deposit:

2022-11-23

Holdings Information:

https://doi.org/10.18419/darus-3276

Study Scope

Keywords:

Computer and Information Science, Earth and Environmental Sciences, Engineering, Karst, DuMuX, Convective Mixing, CO2-Dissolution, CO2

Abstract:

This dataset contains the DuMux code for the simulations in <br> <a href="https://doi.org/10.3390/geosciences13020051">https://doi.org/10.3390/geosciences13020051</a> <br> For the detailed list of software used, please have a look at the file <b>install_class2023.sh</b>.<br> To run the simulations at your own computer, please conduct the following steps: <ol> <li> Install docker <a href="https://docs.docker.com/engine/install/ubuntu/">for example in ubuntu</a> .</li> <li> Make sure you can run docker <a href="https://docs.docker.com/engine/install/linux-postinstall/">without sudo</a>.</li> <li> build the docker image: <pre><samp>docker build -t class2023 --build-arg UID=$(id -u) --build-arg GID=$(id -g) . </samp></pre> This makes sure that your container has the right user and group id to avoid permission issues. </li> <li> Run the container.<pre><samp> ./docker_class2023.sh open </pre></samp></li> <li> To exit the container type: <pre><samp> exit</pre></samp></li> <li> To re enter the container type: <pre><samp> docker restart [container-id]</pre></samp> <pre><samp> docker exec -it [container-id] bash</pre></samp></li> </ol> When you are inside the running container you can run the following simulations: <ol> <li> Simulations of the real world scenario: <pre><samp>cd class2023a/build-cmake/appl/isothermal/column/ </pre></samp> Select the scenario by entering the folder (for example the normal case) <pre><samp> cd normal</pre></samp> Run the simulation <pre><samp>./../column_isothermal ./../params.input</pre></samp> For other scenarios enter a different directory and type either: <pre><samp>./../column_isothermal_pulses ./../params.input</pre></samp> <pre><samp>./../column_isothermal_superdiffusion ./../params.input</pre></samp> </li> <li>Grid studies: <pre><samp>cd class2023a/build-cmake/test/isothermal/columntop_constant/results/</pre></samp> or : <pre><samp>cd class2023a/build-cmake/test/isothermal/columntop_usedata/results/</pre></samp> Run the prepare simulation script: <pre><samp> python3 prepare_simulations.py </pre><samp> Go in the directory of interest and run the simulation: <pre><samp>./../../columntop_constant params.input </pre></samp> Or: <pre><samp>./../../columntop_usedata params.input </pre></samp> </li> <li> 2D and 3D comparison: First the 2D simulation: <pre><samp>cd class2023a/build-cmake/test/isothermal/smallcolumn/results/ </pre></samp> Then run the simulation <pre><samp> ./../smallcolumn_isothermal ./../params.input </pre></samp> 3D simulation: <pre><samp>cd class2023a/build-cmake/test/isothermal/smallcolumn3D/results/ </pre></samp> Then run the simulation <pre><samp> ./../smallcolumn3D_isothermal ./../params.input </pre></samp> </li> </ol> All the results of the simulation will be available on your host-machine in the corresponding folder.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Studies

Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin, 2023, "Data for: Measurement Campaign of Gaseous CO2 Concentrations in a Karst Cave with Aqueous Concentrations in a Stagnant Water Column 2021-2022.", <a href="https://doi.org/10.18419/darus-3271">https://doi.org/10.18419/darus-3271</a>

Related Publications

Citation

Title:

Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51.

Identification Number:

10.3390/geosciences13020051

Bibliographic Citation:

Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51.

Other Study-Related Materials

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