Skip to main content

WSIMOD is for simulating water quality and quantity

Project description

Welcome to WSIMOD WSIMOD logo

WSIMOD stands for the Water Systems Integrated Modelling framework.

The terrestrial water cycle is a highly interconnected system where the movement of water is affected by physical and human processes. Thus, environmental models may become inaccurate if they do not provide a complete picture of the water cycle, missing out on unexpected opportunities and omitting impacts that arise from complex interactions. WSIMOD is a modelling framework to integrate these different processes. It provides a message passing interface to enable different subsystem models to communicate water flux and water quality information between each other, and self-contained representations of the key parts of the water cycle (rivers, reservoirs, urban and rural hydrological catchments, treatment plants, and pipe networks). We created WSIMOD to enable a user greater flexibility in setting up their water cycle models, motivated by the abundance of non-textbook water systems that we have experienced in industry collaboration. The WSIMOD Python package provides tutorials and examples to help modellers create nodes, connect them with arcs, and create simulations.

You can access our documentation below or at https://imperialcollegelondon.github.io/wsi.

Requires: Python 3 (tested on versions >=3.7), tqdm, PyYAML, dill

Optional requirements to run demos: Pandas, GeoPandas, Matplotlib, Shapely

Please consider contributing and note the code of conduct

If you use WSIMOD, please make sure to cite.

Table Of Contents

The documentation follows the best practice for project documentation as described by Daniele Procida in the Diátaxis documentation framework and consists of:

  1. About

  2. Installation

  3. Tutorials

  4. How-To Guides

  5. Component library

  6. API reference

  7. Quickstart

  8. Coverage

Installation

Install WSIMOD directly from GitHub

pip install https://github.com/ImperialCollegeLondon/wsi/archive/refs/heads/main.zip

Use [demos] to include the demos and tutorials.

pip install https://github.com/ImperialCollegeLondon/wsi/archive/refs/heads/main.zip
pip install wsimod[demos]

If you want to make changes to WSIMOD you can download/clone this folder, navigate to it, and run:

pip install -e .[dev]

or (with demos)

pip install -e .[dev,demos]

How to cite WSIMOD

DOI DOI

If you would like to use our software, please cite it using the following:

Dobson, B., Liu, L. and Mijic, A. (2023) ‘Water Systems Integrated Modelling framework, WSIMOD: A Python package for integrated modelling of water quality and quantity across the water cycle’, Journal of Open Source Software. The Open Journal, 8(83), p. 4996. doi: 10.21105/joss.04996.

Find the bibtex citation below:

@article{Dobson2023,
        doi = {10.21105/joss.04996},
        url = {https://doi.org/10.21105/joss.04996},
        year = {2023},
        publisher = {The Open Journal},
        volume = {8},
        number = {83},
        pages = {4996},
        author = {Barnaby Dobson and Leyang Liu and Ana Mijic},
        title = {Water Systems Integrated Modelling framework, WSIMOD: A Python package for integrated modelling of water quality and quantity across the water cycle},
        journal = {Journal of Open Source Software}
        }

Please also include citation to the WSIMOD theory paper:

Dobson, B., Liu, L. and Mijic, A. (2024) ‘Modelling water quantity and quality for integrated water cycle management with the Water Systems Integrated Modelling framework (WSIMOD) software’, Geoscientific Model Development. Copernicus Publications, 17(10), p. 4495. doi: 10.5194/gmd-17-4495-2024

Find the bibtex citation below:

@article{gmd-17-4495-2024,
        author = {Barnaby Dobson and Leyang Liu and Ana Mijic},
        title = {Modelling water quantity and quality for integrated water cycle management with the Water Systems Integrated Modelling framework (WSIMOD) software},
        journal = {Geoscientific Model Development},
        volume = {17},
        year = {2024},
        number = {10},
        pages = {4495--4513},
        url = {https://gmd.copernicus.org/articles/17/4495/2024/},
        doi = {10.5194/gmd-17-4495-2024}
}

Acknowledgements

WSIMOD was developed by Barnaby Dobson and Leyang Liu. Theoretical support was provided by Ana Mijic. Testing the WSIMOD over a variety of applications has been performed by Fangjun Peng, Vladimir Krivstov and Samer Muhandes. Software development support was provided by Imperial College's Research Software Engineering service, in particular from Diego Alonso and Dan Davies.

We are incredibly grateful for the detailed software reviews provided by Taher Chegini and Joshua Larsen and editing by Chris Vernon. Their suggestions have significantly improved WSIMOD.

The design of WSIMOD was significantly influenced by CityDrain3, OpenMI, Belete, Voinov and Laniak, (2017), and smif.

We acknowledge funding from the CAMELLIA project (Community Water Management for a Liveable London), funded by the Natural Environment Research Council (NERC) under grant NE/S003495/1.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wsimod-0.7.1.tar.gz (6.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wsimod-0.7.1-py3-none-any.whl (105.5 kB view details)

Uploaded Python 3

File details

Details for the file wsimod-0.7.1.tar.gz.

File metadata

  • Download URL: wsimod-0.7.1.tar.gz
  • Upload date:
  • Size: 6.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for wsimod-0.7.1.tar.gz
Algorithm Hash digest
SHA256 e459feb7206a6b7372259aba58454a5b61af15eba7e68bfe51ff63a513648460
MD5 41668e50d9e9eb216c645b0a7807ad6b
BLAKE2b-256 9d7bd56f3704a2ae0420fca1e4ac2012b8b5a96befd14d5f54ad09511dc0bfd1

See more details on using hashes here.

Provenance

The following attestation bundles were made for wsimod-0.7.1.tar.gz:

Publisher: publish.yml on ImperialCollegeLondon/wsi

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file wsimod-0.7.1-py3-none-any.whl.

File metadata

  • Download URL: wsimod-0.7.1-py3-none-any.whl
  • Upload date:
  • Size: 105.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for wsimod-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fe7223f1ed4c2935138ce7cd6addbe807cee2717b347d66b5e1220fae5f86181
MD5 6958f9d8e58be5a1f26e76be441b66d1
BLAKE2b-256 7e683ac1790c76bac25c434084be485c546877e682c281c521e5c653731c2c31

See more details on using hashes here.

Provenance

The following attestation bundles were made for wsimod-0.7.1-py3-none-any.whl:

Publisher: publish.yml on ImperialCollegeLondon/wsi

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page