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| Titel |
The Wageningen Lowland Runoff Simulator (WALRUS): application to the Hupsel Brook catchment and the Cabauw polder |
| VerfasserIn |
C. C. Brauer, P. J. J. F. Torfs, A. J. Teuling, R. Uijlenhoet |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 10 ; Nr. 18, no. 10 (2014-10-10), S.4007-4028 |
| Datensatznummer |
250120493
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| Publikation (Nr.) |
 copernicus.org/hess-18-4007-2014.pdf |
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| Zusammenfassung |
| The Wageningen Lowland Runoff Simulator (WALRUS) is a new parametric
(conceptual) rainfall–runoff model which accounts explicitly for processes
that are important in lowland areas, such as groundwater-unsaturated zone
coupling, wetness-dependent flowroutes, groundwater–surface water feedbacks,
and seepage and surface water supply (see companion paper by
Brauer et al., 2014). Lowland catchments can be divided into slightly
sloping, freely draining catchments and flat polders with controlled water
levels. Here, we apply WALRUS to two contrasting Dutch catchments: the Hupsel
Brook catchment and the Cabauw polder. In both catchments, WALRUS performs
well: Nash–Sutcliffe efficiencies obtained after calibration on 1 year of
discharge observations are 0.87 for the Hupsel Brook catchment and 0.83 for
the Cabauw polder, with values of 0.74 and 0.76 for validation. The model
also performs well during floods and droughts and can forecast the effect of
control operations. Through the dynamic division between quick and slow
flowroutes controlled by a wetness index, temporal and spatial variability in
groundwater depths can be accounted for, which results in adequate simulation
of discharge peaks as well as low flows. The performance of WALRUS is most
sensitive to the parameter controlling the wetness index and the groundwater
reservoir constant, and to a lesser extent to the quickflow reservoir
constant. The effects of these three parameters can be identified in the
discharge time series, which indicates that the model is not
overparameterised (parsimonious). Forcing uncertainty was found to have a
larger effect on modelled discharge than parameter uncertainty and
uncertainty in initial conditions. |
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