Depth-averaged gas-particles model

Shallow water model for multiphase flow (gas+particles) with density of gas temperature-dependent.

To compile the code you need a Fortran compiler and the NetCDF library for Fortran. You can install both with anaconda, by creating an anaconda environment and activating it:

conda create -n fortranenv conda-forge::gfortranlinux-64 sysroot_linux-64 make conda-forge::netcdf-fortran conda-forge::liblapack conda-forge::libblas

conda activate fortran_env

or, on a osx computer:

conda create -n fortran_env conda-forge::gfortran make conda-forge::netcdf-fortran conda-forge::liblapack conda-forge::libblas

conda activate fortran_env

To compile:

autoreconf -i

Then on linux (replace USERNAME with you user account):

./configure --with-netcdf=/home/USERNAME/anaconda3/envs/fortran_env

On OSX (replace USERNAME with you user account):

./configure --with-netcdf=/USERS/USERNAME/anaconda3/envs/fortran_env

To compile the code with OpenMP add the following flag in src/Makefile: 1) with gfortran: -fopenmp 2) with intel: -qopenmp

make

make install

The executable is copied in the bin folder.

Several examples can be found in the EXAMPLES folder.

Docker container

If you do not have a compiler on your system, there is a Docker container with the executable of the latest version of the model at the following link:

https://github.com/demichie/IMEX_SfloW2D_v2/pkgs/container/imex_sflow2d_v2

If you have docker installed on your computer, you can download the container from the commant line with:

docker pull ghcr.io/demichie/imexsflow2dv2:sha256-080bf69dd96c57482ca27fa37096e96b9b15813ca5d7a8a5736ea9a0599884f9

LINUX/MAC

Create a folder for your simulation with all the input files and then run the container with:

docker run -v $PWD:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 run

If your simulation produced .asc output files, you can post-process those files to have .png files with:

docker run -v $PWD:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 plot_overlay

If your simulation produced .p_2d output files, you can post-process those files to have a netCDF4 file with:

docker run -v $PWD:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 p2dtonetcdf

WINDOWS COMMAND LINE

Create a folder for your simulation with all the input files and then run the container with:

docker run -v %cd%:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 run

If your simulation produced .asc output files, you can post-process those files to have .png files with:

docker run -v %cd%:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 plot_overlay

If your simulation produced .p_2d output files, you can post-process those files to have a netCDF4 file with:

docker run -v %cd%:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 p2dtonetcdf

WINDOWS POWERSHELL

Create a folder for your simulation with all the input files and then run the container with:

docker run -v ${PWD}:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 run

If your simulation produced .asc output files, you can post-process those files to have .png files with:

docker run -v ${PWD}:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 plot_overlay

If your simulation produced .p_2d output files, you can post-process those files to have a netCDF4 file with:

docker run -v ${PWD}:/home/usersw/SWRUNS -i -t demichie/imexsflow2dv2 p2dtonetcdf