Tips on how to ensure that your stormwater model is accurate and reliable:
| Step | Description |
|---|---|
| 1. Verify model inputs | Make sure that all model inputs (e.g. land use, soil type, precipitation data) are accurate and up-to-date. |
| 2. Calibrate the model | Use observed data (e.g. flow rates, water levels) to fine-tune the model's parameters and ensure that it is accurately predicting system behavior. |
| 3. Validate the model | Use additional observed data to confirm that the model predicts system behavior accurately. |
| 4. Check for model instability | Monitor the model's output for any sudden or unexpected changes, which may indicate that the model is unstable. |
| 5. Use sensitivity analysis | Test the model's sensitivity to changes in key input variables to ensure that it is robust and reliable. |
| 6. Compare with real-world data | Compare the model's predictions with actual measurements from the field to validate its accuracy. |
By following these steps, you can help ensure that your stormwater model is a useful and reliable tool for analyzing and predicting the behavior of your system.
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