Groundwater Flow Modeling Using Modflow and GMS – Does the Model Simulate the Real Case | Part 23

In this video, we tackle one of the most critical questions in groundwater modeling: Does the model accurately simulate real-world conditions? By re-running our steady-state model with observation points, we analyse discrepancies between observed and computed values to assess model accuracy.
Key Topics Covered:
• Re-Running the Model: Understanding how re-running the model after mapping observation points generates critical metrics for evaluation.
• Error Analysis: Exploring the Sum of Weighted Residual Squares (e.g., 4,630 in this example) and its significance in determining model accuracy.
• Observation Points and Color Indicators: Red Bars: Indicating large differences between observed and computed values. Green Bars: Signifying close alignment between observed and computed values.
• Visualizing Differences: Learn how discrepancies are calculated at each observation point by comparing observed and computed water levels.
What Does the Error Mean?
The error value reflects the overall accuracy of the model, with large differences between observed and computed data pointing to areas needing improvement. In this case, the results suggest that the model does not yet simulate the real case.
🌟 What’s Next?
The solution lies in calibration, a process that fine-tunes the model to improve accuracy and better reflect real-world conditions. Calibration will be the focus of the next section in this course.
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