Skip to main content

SWMManywhere software

Project description

SWMManywhere: Synthesise Urban Drainage Network Models Anywhere in the World

PyPI version shields.io Test and build DOI codecov

SWMManywhere is a tool to synthesise urban drainage network models (UDMs) using publicly available data such as street network, DEM, and building footprints, across the globe. It also provides tools for generating SWMM input files and performing simulations for the synthesised UDMs.

Features

  • Automatic data retrieval and preprocessing: all of our data requirements are met with global datasets, so all you need is a bounding box!
  • Customisable network synthesis: change a range of parameters to create different networks, power users can easily extend existing functionality.
  • Streamlined evaluation to compare with real networks: we include a variety of performance metrics and automatic running/comparing if you have your own SWMM model.
  • Command line interface: All of this and more can be accessed by passing a configuration file to a CLI.

Installation

Install SWMManywhere:

pip install swmmanywhere

Alternatively, it can be installed using mamba (conda or micromamba):

mamba install -c conda-forge swmmanywhere

Documentation and Quickstart

Once installed, you can simply run SWMManywhere from the command line giving a configuration file in YAML format as input. As SWMManywhere can download data automatically from well known sources, this settings file can often be minimal and restricted to indicating the geographical area to be processed:

python -m swmmanywhere --config_path=\path\to\config.yml

The result of the calculation will be a model of the sewage system for that area, like the following, which can then be further processed or analysed with SWMM, for example:

SWMM Model

Follow the Quickstart for a more detailed initial example and ReadTheDocs for full information of SWMManywhere capabilities.

Use and contributing

This project is licensed under the BSD-3-Clause licence, see LICENSE.

There are many things we would like to do! If you are interested to contribute please see CONTRIBUTING and CODE OF CONDUCT.

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

swmmanywhere-0.1.10.tar.gz (3.3 MB view details)

Uploaded Source

File details

Details for the file swmmanywhere-0.1.10.tar.gz.

File metadata

  • Download URL: swmmanywhere-0.1.10.tar.gz
  • Upload date:
  • Size: 3.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for swmmanywhere-0.1.10.tar.gz
Algorithm Hash digest
SHA256 3825bbba18432217e97af9e9902a945dadded308889a0541732820346c647049
MD5 6b36721cfa1510b13b6f45133714982b
BLAKE2b-256 24744c4b26da62cf30ba8c43e00e65df6ef697cefdcf6b7dc579edb474bfdbfe

See more details on using hashes here.

Provenance

The following attestation bundles were made for swmmanywhere-0.1.10.tar.gz:

Publisher: publish.yml on ImperialCollegeLondon/SWMManywhere

Attestations:

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