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Open AccessArticle

Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling

1
Hydraulics and Geotechnics Section, KU Leuven, Kasteelpark Arenberg 40, BE-3001 Leuven, Belgium
2
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel (VUB), Pleinlaan 2, BE-1050 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Academic Editor: Marco Franchini
Water 2021, 13(7), 972; https://doi.org/10.3390/w13070972
Received: 21 February 2021 / Revised: 18 March 2021 / Accepted: 28 March 2021 / Published: 1 April 2021
(This article belongs to the Section Hydrology and Hydrogeology)
A variety of hydrological models is currently available. Many of those employ physically based formulations to account for the complexity and spatial heterogeneity of natural processes. In turn, they require a substantial amount of spatial data, which may not always be available at sufficient quality. Recently, a top-down approach for distributed rainfall-runoff modelling has been developed, which aims at combining accuracy and simplicity. Essentially, a distributed model with uniform model parameters (base model) is derived from a calibrated lumped conceptual model. Subsequently, selected parameters are disaggregated based on links with the available spatially variable catchment properties. The disaggregation concept is now adjusted to better account for non-linearities and extended to incorporate more model parameters (and, thus, larger catchment heterogeneity). The modelling approach is tested for a catchment including several flow gauging stations. The disaggregated model is shown to outperform the base model with respect to internal catchment dynamics, while performing similarly at the catchment outlet. Moreover, it manages to bridge on average 44% of the Nash–Sutcliffe efficiency difference between the base model and the lumped models calibrated for the internal gauging stations. Nevertheless, the aforementioned improvement is not necessarily sufficient for reliable model results. View Full-Text
Keywords: rainfall-runoff; distributed modelling; parameter disaggregation rainfall-runoff; distributed modelling; parameter disaggregation
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MDPI and ACS Style

Moustakas, S.; Willems, P. Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling. Water 2021, 13, 972. https://doi.org/10.3390/w13070972

AMA Style

Moustakas S, Willems P. Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling. Water. 2021; 13(7):972. https://doi.org/10.3390/w13070972

Chicago/Turabian Style

Moustakas, Sotirios; Willems, Patrick. 2021. "Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling" Water 13, no. 7: 972. https://doi.org/10.3390/w13070972

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