Skip to main content

Water Network Tool for Resilience

Project description

<h1> <img src=”https://raw.githubusercontent.com/usepa/wntr/main/documentation/_static/logo.jpg” width=”375”> </h1><br>

[![build](https://github.com/USEPA/WNTR/workflows/build/badge.svg)](https://github.com/USEPA/WNTR/actions/workflows/build_tests.yml) [![Coverage Status](https://coveralls.io/repos/github/USEPA/WNTR/badge.svg?branch=main)](https://coveralls.io/github/USEPA/WNTR?branch=main) [![Documentation Status](https://github.com/USEPA/WNTR/actions/workflows/build_deploy_pages.yml/badge.svg)](https://github.com/usepa/wntr/actions/workflows/build_deploy_pages.yml)

The Water Network Tool for Resilience (WNTR) is a Python package designed to simulate and analyze resilience of water distribution networks. The software includes capability to:

  • Generate water network models

  • Modify network structure and operations

  • Add disruptive events including pipe leaks

  • Add response/repair strategies

  • Simulate pressure dependent demand and demand-driven hydraulics

  • Simulate water quality

  • Evaluate resilience

  • Visualize results

For more information, go to https://usepa.github.io/WNTR/

Installation

The latest release of WNTR can be installed from PyPI or Anaconda using one of the following commands in a command line or PowerShell prompt.

See [installation instructions](https://usepa.github.io/WNTR/installation.html) for more details.

Citing WNTR

To cite WNTR, use one of the following references:

  • Klise, K.A., Hart, D.B., Bynum, M., Hogge, J., Haxton, T., Murray, R., Burkhardt, J. (2020). Water Network Tool for Resilience (WNTR) User Manual: Version 0.2.3. U.S. EPA Office of Research and Development, Washington, DC, EPA/600/R-20/185, 82p.

  • Klise, K.A., Murray, R., Haxton, T. (2018). An overview of the Water Network Tool for Resilience (WNTR), In Proceedings of the 1st International WDSA/CCWI Joint Conference, Kingston, Ontario, Canada, July 23-25, 075, 8p.

  • Klise, K.A., Bynum, M., Moriarty, D., Murray, R. (2017). A software framework for assessing the resilience of drinking water systems to disasters with an example earthquake case study, Environmental Modelling and Software, 95, 420-431, doi: 10.1016/j.envsoft.2017.06.022

License

WNTR is released under the Revised BSD license. See [LICENSE.md](https://github.com/USEPA/WNTR/blob/main/LICENSE.md) for more details.

Organization

Directories
  • wntr - Python package

  • documentation - User manual

  • examples - Examples and network files

Contact

EPA Disclaimer

The United States Environmental Protection Agency (EPA) GitHub project code is provided on an “as is” basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity , confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.

Sandia Funding Statement

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA-0003525.

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

wntrfr-1.1.0.tar.gz (268.3 kB view details)

Uploaded Source

Built Distribution

wntrfr-1.1.0-cp39-cp39-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.9 Windows x86-64

File details

Details for the file wntrfr-1.1.0.tar.gz.

File metadata

  • Download URL: wntrfr-1.1.0.tar.gz
  • Upload date:
  • Size: 268.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.12

File hashes

Hashes for wntrfr-1.1.0.tar.gz
Algorithm Hash digest
SHA256 f2b8a4b51ec73d79ee920b213ff4f963d165553f1653f795a7bdaf9f9baaf9f6
MD5 450a3897afdca9ec3aafa6db56c6d62a
BLAKE2b-256 aa7492cdaafaf3f3f0710a7afb7f936f3db49b9bf5a158da7ab268cda2dce4b0

See more details on using hashes here.

File details

Details for the file wntrfr-1.1.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: wntrfr-1.1.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.12

File hashes

Hashes for wntrfr-1.1.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4f7e4c4ec4dd0ead7496c9424cf5a3e3d883582937a2d00cd87a0e86c6042647
MD5 89ef92510c7f779e8144a44b8c54a735
BLAKE2b-256 2b28a35a4793bddd7e815824b523d220f8d69a715e0a5898ae5e9a1da5f7948a

See more details on using hashes here.

Supported by

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