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Evaluating the transferability of data-driven pedo-transfer functions for the wflowsbm parameter KsatHorFrac in central and Western Europe

Gaast, H.B. van der (2024) Evaluating the transferability of data-driven pedo-transfer functions for the wflowsbm parameter KsatHorFrac in central and Western Europe.

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Abstract:This thesis report provides insight into the transferability of data-driven Pedo-Transfer Functions (PTF) for the parameter KsatHorFrac in the distributed hydrological model wflow_sbm. KsatHorFrac is necessary to determine the horizontal saturated hydraulic conductivity by multiplying it with the vertical saturated hydraulic conductivity. PTFs are used to predict the value of a parameter based on widely available data, such as soil characteristics. Having a PTF for all parameters in a hydrological model is preferable, since good functioning PTFs bypass the need for calibrating each individual parameter. As of current, KsatHorFrac does not have a validated PTF in the wflow_sbm model. However, Ali et al. (2023) developed a PTF for KsatHorFrac based on seven soil characteristics in Great Brittain (GB) using the Machine Learning (ML) technique Random Forest (RF). In this study, the transferability of the RF PTF developed by Ali et al. (2023) (original PTF) is evaluated in subbasins in central and Western Europe. Additionally, the PTF is updated with topographic predictors (updated PTF) in order to evaluate how this impacts the KsatHorFrac prediction and resulting model performance on discharge simulations in wflow_sbm.
Item Type:Essay (Master)
Clients:
Deltares, Delft, Netherlands
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Civil Engineering and Management MSc (60026)
Link to this item:https://purl.utwente.nl/essays/103634
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