https://github.com/alraunez/waterglassflow
python scripts implementation of results of the paper "Groundwater flow below construction pits and erosion of temporary horizontal layers of silicate grouting"
Science Score: 23.0%
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python scripts implementation of results of the paper "Groundwater flow below construction pits and erosion of temporary horizontal layers of silicate grouting"
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Created almost 5 years ago
· Last pushed about 4 years ago
https://github.com/AlrauneZ/WaterglassFlow/blob/master/
[](https://zenodo.org/badge/latestdoi/390033372)
# Overview
This project provides all python scripts to reproduce the results of the
paper "Groundwater flow below construction pits and erosion of temporary
horizontal layers of silicate grouting" by Joris M. Dekker, Thomas Sweijen,
Alraune Zech; Hydrogeology Journal
https://doi.org/10.1007/s10040-020-02246-3
It provides the functional implementations for description of waterglass
flow pattern below a construction pit. It further provides simulation results
of simulations presented in the manuscript and python scripts to reproduce all
figures (including those of the Supporting Information) based on the input data.
## Structure
The project is organized as follows:
- `README.md` - description of the project
- `LICENSE` - the default license is MIT
- `data/` - folder containing data:
+ `modlfow_head_t0.csv` - simulated heads at initial state (Fig. 2)
+ `modlfow_head_tinf.csv` - simulated heads at final state (Fig. 2)
+ `data_heads_layer_t0.csv` - simulated heads in layers at initial state (Fig. 3)
+ `data_heads_layer_tend.csv` - simulated heads in layers at final state (Fig. 3)
+ `Fluxes_Modflow_standard.csv` - simulated fluxes from Modflow (Fig. 4 & 5)
+ `velocity_x_tinf.csv` - simulated velcities from Modflow (Fig. S01)
+ `velocity_z_tinf.csv` - simulated velcities from Modflow (Fig. S01)
+ `data_headprofiles_t0_SI.csv` - observational data of head (Fig S04)
+ `data_reldiff_L_H1.csv` - simulated data (Modflow) for variations in L (Fig S05)
+ `data_reldiff_H_L50.csv` - simulated data (Modflow) for variations in H (Fig S06)
+ `data_reldiff_D.csv` - simulated data (Modflow) for variations in D (Fig S07)
- `src/` - folder containing the Python scripts of the project:
+ `Class_Waterglas.py` - containg classes and function as implementations:
- of the analytical solutions describing flow pattern of waterglass in
construction pit
- class with specification of numerical simulation setup
- auxiliary functions
+ `02_head_countours.py` - reproducing Figure 2 of the manuscript
+ `03_head_profiles.py` - reproducing Figure 3 of the manuscript
+ `04_q_trans.py` - reproducing Figure 4 of the manuscript
+ `05_dilution_ratio.py` - reproducing Figure 5 of the manuscript
+ `06_sensitivity_Qtotal.py` - reproducing Figure 6 of the manuscript
+ `07_sensitivity_Qtil.py` - reproducing Figure 7 of the manuscript
+ `08_sensitivity_mu.py` - reproducing Figure 8 of the manuscript
+ `S1_streamlines.py` - reproducing Figure S01 of the Supporting Information
+ `S2_q_total_approx.py` - reproducing Figure S02 of the Supporting Information
+ `S3_q_til_approx.py` - reproducing Figure S03 of the Supporting Information
+ `S4_head_profiles.py` - reproducing Figure S04 of the Supporting Information
+ `S5_rel_diff_L.py` - reproducing Figure S05 of the Supporting Information
+ `S6_rel_diff_H.py` - reproducing Figure S06 of the Supporting Information
+ `S7_rel_diff_D.py` - reproducing Figure S07 of the Supporting Information
- `results/` - folder containing plots (Fig 02-08 of Paper and Fig S01-S07 of Supporting Information)
## Python environment
To make the example reproducible, we provide the following files:
- `requirements.txt` - requirements for [pip](https://pip.pypa.io/en/stable/user_guide/#requirements-files) to install all needed packages
## Contact
You can contact us via .
## License
MIT 2022
Owner
- Login: AlrauneZ
- Kind: user
- Website: https://www.uu.nl/staff/AZech?t=0
- Repositories: 2
- Profile: https://github.com/AlrauneZ