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Agentic SWMM workflow for stormwater modelling

Water and drainage engineers who model stormwater networks and compare design scenarios.

  • Listedour rating
  • 30gitHub stars
  • MITlicence
  • 15 days agolast update
git clone https://github.com/Zhonghao1995/agentic-swmm-workflow.git
README.md

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What it does

An EPA SWMM workflow for stormwater modelling, driven through an AI assistant. It covers model building, simulation runs, calibration, QGIS integration, climate scenarios and uncertainty analysis. The project is available as a Python package and as a Docker image, so the same environment can be reproduced.

Use cases

  1. 01Build a SWMM model from site data
  2. 02Run simulations and calibrate them against observations
  3. 03Compare drainage performance under different climate scenarios

Questions about
Agentic SWMM workflow for stormwater modelling.

What is Agentic SWMM workflow for stormwater modelling used for?

Water and drainage engineers who model stormwater networks and compare design scenarios. An EPA SWMM workflow for stormwater modelling, driven through an AI assistant. It covers model building, simulation runs, calibration, QGIS integration, climate scenarios and uncertainty analysis. The project is available as a Python package and as a Docker image, so the same environment can be reproduced.

How do I install Agentic SWMM workflow for stormwater modelling?

Run this in your terminal: git clone https://github.com/Zhonghao1995/agentic-swmm-workflow.git

Is Agentic SWMM workflow for stormwater modelling open source?

Yes. The code is on GitHub (Zhonghao1995/agentic-swmm-workflow) under the MIT licence.

Is Agentic SWMM workflow for stormwater modelling safe to use?

Our automatic scan flagged points to review, so read the code before installing it. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.