https://github.com/doi-usgs/pleasant-lake-flopy-example

Repository for the worked example in the 2022 Groundwater Technology Spotlight on Flopy.

https://github.com/doi-usgs/pleasant-lake-flopy-example

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 2 committers (100.0%) from academic institutions
  • Institutional organization owner
    Organization doi-usgs has institutional domain (www.usgs.gov)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (13.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Repository for the worked example in the 2022 Groundwater Technology Spotlight on Flopy.

Basic Info
  • Host: GitHub
  • Owner: DOI-USGS
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 6.87 MB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

Readme.md

Pleasant Lake worked Flopy example

This repository contains a worked example of the Pleasant Lake problem (Fienen et al., 2022) that demonstrates the use of the Flopy Python Package to assemble a MODFLOW 6 groundwater flow model with external array input and advanced boundary conditions.

Tests Binder Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.

Running the example

There are two ways to run the example:

1) online via Binder 2) Locally on your computer, after creating a suitable python environment

Running the example locally

1) Download and install the 64-bit Anaconda python distribution or Miniconda

  • Anaconda comes with a larger selection of popular data science and scientific packages, making it ideal for those who use python frequently for scientific computing.
  • Miniconda is a minimal installer with a much smaller footprint, making it ideal for those who only want to run this example.
  • Make sure to install Anaconda or Miniconda to your username (not at the system level).

2) Create a Conda environment

Open an Anaconda Command Prompt on Windows or a terminal window on OSX and point it to the location of ``environment.yml`` and enter:

    conda env create -f environment.yml

**Note:** if the above line executes too slowly, try installing [Mamba](https://mamba.readthedocs.io/en/latest/) and using that instead, i.e.

    mamba env create -f environment.yml

3) Activate the environment

Open an Anaconda Command Prompt on Windows or a terminal window on OSX and enter:

    conda activate flopy_example

4) Run the Notebook

Make sure that the command window with the conda environment activated is pointed at this folder, or any higher location in the file system. Then enter:

    jupyter notebook

A new browser tab should pop up with the Jupyter file browser. Navigate to ``worked_flopy_example.ipynb`` and click on it. For more information on Jupyter Notebooks, refer to the documentation: https://jupyter.org.

**Note:** Running the model through Flopy (as in the Notebook) requires specification of the MODFLOW executable. In the example, we assume that a MODFLOW 6 executable named ``"mf6"`` is visible in the system path at the location of this folder (see the ``exe_name`` argument in Notebook cell 5). Executables for MODFLOW 6 for linux, mac and windows are included in the ``bin/`` folder.

References

Fienen, M.N., Haserodt, M.J., Leaf, A.T., Westenbroek, S.M., 2022, Simulation of Regional Groundwater Flow and Groundwater/Lake Interactions in the Central Sands, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2022-5046, http://doi.org/10.3133/sir20225046

How to cite this example:

Groundwater Technology Spotlight article:
Leaf, A.T. and Fienen, M.N. (2022), Flopy – the Python interface for MODFLOW. Groundwater (in revision), xx: xxx-xxx. https://doi.org/10.1111/gwat.xxxxx

USGS Software release citation:
Leaf, A.T. and Fienen, M.N. (2022). Pleasant Lake worked Flopy example, version 0.1, U.S. Geological Survey Software Release (IP-143803; in review), 1 Sept 2022. https://doi.org/10.5066/P9EFHF9H

Disclaimer

This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software. It is the responsibility of the user to check the accuracy of the results.

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Owner

  • Name: U.S. Geological Survey
  • Login: DOI-USGS
  • Kind: organization
  • Email: gs_help_git@usgs.gov
  • Location: United States of America

By integrating our diverse scientific expertise, we understand complex natural science phenomena and provide scientific products that lead to solutions.

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Fork event: 1
Last Year
  • Issues event: 1
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Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 18
  • Total Committers: 2
  • Avg Commits per committer: 9.0
  • Development Distribution Score (DDS): 0.111
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Leaf, Andrew T a****f@u****v 16
Mike Fienen m****n@u****v 2
Committer Domains (Top 20 + Academic)

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Last synced: about 1 year ago

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  • Total issues: 0
  • Total pull requests: 0
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  • Average comments per issue: 0
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Past Year
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  • Average time to close issues: N/A
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Top Authors
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  • mcekiz (1)
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Dependencies

.github/workflows/test.yaml actions
  • actions/cache v2.1.0 composite
  • actions/checkout v2 composite
  • conda-incubator/setup-miniconda v2 composite
environment.yml conda
  • fiona
  • gdal
  • geopandas
  • ipykernel
  • ipython
  • jupyter
  • matplotlib
  • netcdf4
  • notebook
  • numpy
  • pandas
  • pip
  • pyproj >=2.2
  • pyshp
  • pytest
  • python
  • rasterio
  • rasterstats
  • rtree
  • scipy
  • shapely
  • xarray