Application of WaSiM-ETH model to Northern German lowland catchments: model performance in relation to catchment characteristics and sensitivity to land use change

Bormann, Helge; Elfert, Simon

doi:10.5194/adgeo-27-1-2010

Cited by 20 publications

(13 citation statements)

References 20 publications

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“…influence of surface water on groundwater) are not met. Examples of the resulting problems are presented by Bormann and Elfert (2010), who used WaSiM-ETH (Schulla and Jasper, 2007) and Koch et al (2013), who used SWAT, both in northeastern Germany. Fan et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater

et al. 2014

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Abstract. We present the Wageningen Lowland Runoff Simulator (WALRUS), a novel rainfall-runoff model to fill the gap between complex, spatially distributed models which are often used in lowland catchments and simple, parametric (conceptual) models which have mostly been developed for sloping catchments. WALRUS explicitly accounts for processes that are important in lowland areas, notably (1) groundwater-unsaturated zone coupling, (2) wetnessdependent flow routes, (3) groundwater-surface water feedbacks and (4) seepage and surface water supply. WALRUS consists of a coupled groundwater-vadose zone reservoir, a quickflow reservoir and a surface water reservoir. WALRUS is suitable for operational use because it is computationally efficient and numerically stable (achieved with a flexible time step approach). In the open source model code default relations have been implemented, leaving only four parameters which require calibration. For research purposes, these defaults can easily be changed. Numerical experiments show that the implemented feedbacks have the desired effect on the system variables.

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Section: Introductionmentioning

confidence: 99%

The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater

et al. 2014

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“…Simple, lumped hydrological models with a more traditional structure (i.e. without coupling and feedbacks) often fail to reproduce discharge dynamics in lowland catchments (Bormann and Elfert, 2010;Koch et al, 2013). Thus, instead of coupling existing models, hydrological models for application in lowland areas should be derived from a conceptually sound and strong coupling between groundwater and the unsaturated zone as well as between groundwater and surface water.…”

Section: Introductionmentioning

confidence: 99%

The Wageningen Lowland Runoff Simulator (WALRUS): application to the Hupsel Brook catchment and the Cabauw polder

Brauer

Torfs

Teuling

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. 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, groundwatersurface 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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“…Gurtz et al 2003, Verbunt et al 2003, Jasper et al 2004, Leemhuis 2005, Jung 2006, Wagner et al 2009, Rößler and Löffler 2010, Rößler 2011. Bormann and Elfert (2010) reported that the model is a suitable tool for the simulation of the hydrological behaviour of lowland catchments. Habte et al (2007) indicated that the model satisfactorily simulates the hydrological behaviour for all sub-basin catchments of the Blue Nile basin in Ethiopia.…”

Section: Wasim-eth Modelmentioning

confidence: 99%

Comparative study of a physically based distributed hydrological model versus a conceptual hydrological model for assessment of climate change response in the Upper Nile, Baro-Akobo basin: a case study of the Sore watershed, Ethiopia

Kebede

Diekkrüger

Moges

2014

International Journal of River Basin Management

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This paper presents a comparative study of two distinctively different hydrological models for simulating future discharge response in climate change scenarios. The mostly agricultural Sore watershed (1117 km 2 ), Ethiopia, was used as a case study. Outputs from the climate models REMO (Regional Model) and CGCM3.1 (Canadian Global Climate Model) were used as inputs for hydrological models after statistical downscaling. Data from the REMO A1B and B1 and CGCM3.1 A1B scenarios were selected to represent future conditions. The models used in this study, the physically based distributed hydrological model WaSiM (Water Flow and Balance Simulation Model)-ETH and the conceptual model HBV (Hydrologiska Byråns Vattenbalansavdelning)-Light, were applied to simulate the flow conditions for a reference period (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997) and a future period . The results confirm that the uncertainty caused by using different climate model inputs is larger than the uncertainty caused by using different hydrological models. In both hydrological models, the future peak discharge decreases in the future climate change scenarios regardless of the climate model and emission scenario considered. Whereas peak discharge shifted from August/September for the reference period to June in the future with CGCM3.1, discharge generally shifted to month earlier for both climate models. For low-flow conditions, the HBV-Light model always computed slightly higher values than the WaSiM-ETH model. This study demonstrates that both the hydrological and climate models were consistent concerning the overall direction of change, regardless of magnitude.

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Application of WaSiM-ETH model to Northern German lowland catchments: model performance in relation to catchment characteristics and sensitivity to land use change

Cited by 20 publications

References 20 publications

The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater

The Wageningen Lowland Runoff Simulator (WALRUS): a lumped rainfall–runoff model for catchments with shallow groundwater

The Wageningen Lowland Runoff Simulator (WALRUS): application to the Hupsel Brook catchment and the Cabauw polder

Comparative study of a physically based distributed hydrological model versus a conceptual hydrological model for assessment of climate change response in the Upper Nile, Baro-Akobo basin: a case study of the Sore watershed, Ethiopia

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