Australia

Machine Learning to Reliably Define Hydrologic Calibration Parameters

Development of a Machine Learning Algorithm

Impact
Development of a Machine Learning Algorithm

The calibration or validation of hydrological models is a critical first step in the process of calculating design flows. WMS has developed a machine learning algorithm to reduce the uncertainty of hydrologic model calibration (Figure 1 and Figure 2) and benchmark results (Figure 3) against the algorithms’ performance (Figure 4).

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Figure 2
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Figure 5

The model runs fast and provides a rapid turn-around, it will help to inform on issues related the storm or catchment files used or if a reasonable calibration cannot be achieved (i.e. due to poor gauge data).

Reach out to WMS if you would like to incorporate this tool into your next project!

We’d love to solve your next engineering challenge.