Creating an RDII (Rainfall-Derived Infiltration and Inflow) analysis in InfoSWMM can be quite specific

 Creating an RDII (Rainfall-Derived Infiltration and Inflow) analysis in InfoSWMM can be quite specific but rewarding when done right. Here’s a step-by-step guide to help you through the process:

1. Node Configuration:

   • Ensure you have one node in InfoSWMM where you will analyze the RDII. This node must have a fully configured set of RTK parameters, which describe the rainfall-dependent inflow and infiltration characteristics for the area.

2. Rainfall and Flow Data:

   • Attach an actual time series of rainfall data to the model. This series should adequately represent the temporal distribution of rainfall for the period of interest.

3. Simulation Settings:

   • Run the model in InfoSWMM to generate an OUT folder. This folder is necessary because RDII Analyst, a tool within InfoSWMM, requires it to function.

4. Date Settings:

   • Set your simulation’s date range to bracket the dates of your rainfall and flow data. Ensure that the flow data timestamps do not fall outside this simulation date range to maintain data integrity.

5. Using RDII Analyst:

   • Once the OUT folder is created, open RDII Analyst and import your CSV file containing the flow data. Check that the dates align with the simulation dates.
   • If the CSV file fails to import, verify the delimiter used (comma, tab, space, etc.) to ensure it matches the format RDII Analyst expects.

6. Troubleshooting:

   • If problems persist after checking the delimiter, re-examine the CSV file for formatting issues or inconsistencies that might prevent the import.
   • Ensure the RTK parameters at your node are correctly configured as these directly impact the RDII calculations.

7. Contact Support:

   • If you still encounter issues after following all these steps, it may be best to contact Innovyze support at support@innovyze.com for detailed assistance.

By following these steps, you should be able to successfully configure and run an RDII analysis in InfoSWMM. Always ensure your data sets are complete and aligned in terms of time and scope to avoid common pitfalls in model simulation.