Overview of SWMM

Storm Water Management Model aka SWMM aka Rivershore and sometimes sewershed or Collection Systems in our documentation.

SWMM runs a SWMM5 planning model using data directly from local rain gauges. Historical runs can be made to perform in depth analysis of collection systems using both model and sensor data side by side. Real-time or “live” mode allows the model to be continually updated and refreshed with the latest rainfall so that the most up-to-date comparison between model and sensor data is available. Additionally, rainfall predictions are used to forecast the model into the future and allow for operational and strategic decision making.

Projects of SWMM and how they relate to one another

The SWMM engine is used in more than just our front end swmm project often called Rivershore after one of the networks. Stormwater runs a SWMM engine on the backend.

List of all the Solutions for Stormwater

The SWMM project has recently been placed in Github. Please check to make sure you are using the Github repository and not the Bitbucket repository.

The SWMM projects are currently named as follows:

• swmm5_azure - This is the front end of the project often called Rivershore as it is the main network that we model.
  • We also have other models we have used in the past:
    • Mill Creek
    • Muddy Creek
    • Example 8 Network
    • Sample Network
• swmm5_core - This runs the C++ SWMM Engine it has 3 main parts. This project has to be run to create the SWMM DLL that will be needed in the SWMM5_worker.
  • SWMM_Bridge
  • SWMM_Engine
  • SWMM_Parallel
• swmm5_worker - this is the current backend it currently still a worker role and will need to be updated soon as worker and web roles have been deprecated from Azure. They are now function apps.
• swmmversions - This project