Integration of models using shared state variables: Implementation in the regional hydrologic modelling system SIMGRO

Walsum, P.E.V. van; Veldhuizen, A.A.

doi:10.1016/j.jhydrol.2011.08.036

Cited by 33 publications

(15 citation statements)

References 9 publications

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“…For more information on the functioning of these packages, readers are referred to Harbaugh (2005). The model included an unsaturated zone module, which calculated the groundwater recharge using the precipitation, evaporation, land use, and information about the soil and vegetation (MetaSWAP, van Walsum & Groenendijk, 2008;van Walsum & Veldhuizen, 2011;De Lange et al, 2014).…”

Section: Study Areamentioning

confidence: 99%

Transient Groundwater Travel Time Distributions and Age‐Ranked Storage‐Discharge Relationships of Three Lowland Catchments

Kaandorp

Louw

Velde

et al. 2018

Water Resources Research

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The contribution of groundwater to streams is controlled by temporally and spatially variable groundwater flow paths with distinctive travel times. The aggregated average travel time distribution (TTD) of all these flow paths functions as a catchment characteristic. Currently, research on TTDs is expanding towards dynamic TTDs and building on this, we present dynamic backward TTDs and residence time distributions using forward particle tracking on a high-resolution spatially distributed groundwater flow model (25*25 m). We show that the dynamic backward TTDs of three Dutch catchments are determined by the interplay between the activation of shallow short flow paths and the intensification of fluxes through all flow paths when groundwater levels rise. In addition, the preference for young water in our lowland catchments appears strongly controlled by drainage density. Variations in catchment mixing with time and between catchments were analyzed using dynamic StorAge Selection (SAS) functions. This showed the effect of differences in geology and topography on the shape of the SAS functions. Additionally, the variability of SAS functions in time was shown to depend on the extent to which new flow paths can be activated. Time-varying SAS functions are required for computation of dynamic TTDs, and this research showed realistic values for the variability in the SAS functions of lowland catchments. The step towards dynamic TTDs is crucial for understanding the temporal and spatial behavior of streams, their chemical composition, and their ecological value.

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Section: Study Areamentioning

confidence: 99%

Transient Groundwater Travel Time Distributions and Age‐Ranked Storage‐Discharge Relationships of Three Lowland Catchments

Kaandorp

Louw

Velde

et al. 2018

Water Resources Research

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“…The entire drainage system in the catchment was modelled using the DRN and 115 RIV MODFLOW packages (Harbaugh, 2005). Flow through the unsaturated zone was modelled using the MetaSWAP model for a seasonal representation of the groundwater recharge based on land-use (De Lange et al, 2014;van Walsum and Groenendijk, 2008;van Walsum and Veldhuizen, 2011). To allow for the calculation of long groundwater flow paths the model was run for the period of 1700-2017, repeating climate data from the period 1965-2017 (see Kaandorp et al, 2018a).…”

Section: Groundwater Model and Ttdsmentioning

confidence: 99%

Aged streams: Time lags of nitrate, chloride and tritium assessed by Dynamic Groundwater Flow Tracking

Kaandorp

Boers²,

Louw

2019

Preprint

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Abstract. Surface waters are under pressure of diffuse pollution from agricultural activities and groundwater is known to be a connection between the agricultural fields and streams. We calculated in-stream concentrations by coupling input curves for tritium, chloride and nitrate with dynamic groundwater travel time distributions (TTDs) derived from a distributed, transient 3D groundwater flow model using forward particle tracking. We tested our approach in a lowland stream and found that the variable contribution of different groundwater flow paths to stream water quality reasonably explained the majority of long-term and seasonal variation in the measured stream nitrate concentrations. A sensitivity analysis was done to study the breakthrough of agricultural nitrate and it was found that an unsaturated zone, increased mean travel time and a longer distance between agricultural fields and stream cause a lag in the breakthrough of agricultural solutes. Similarly, the recovery of concentrations after measures that aim to reduce the solute inputs is determined by these parameters, with combinations of slow reduction rates and long MTT tending to result in considerable lag times after start of the reductions. We labelled the part of the catchment area where the seepage water infiltrated that contributes to stream discharge at a certain moment in time the groundwater contributing area. This groundwater contributing area was shown to increase and shrink based on wetness conditions within the catchment. Especially the location of agricultural fields in the groundwater contributing area in relation to the catchments’ drainage network was found to be an important factor that largely governs the travel times of the agricultural pollutants. We conclude that groundwater functions as a buffer on the effect of agricultural pollution, by distributing water in time and space and making it possible for different waters to mix.

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“…AZURE uses MODFLOW for saturated groundwater flow (Harbaugh et al 2000) and MetaSWAP for the unsaturated groundwater zone (Van Walsum and Groenendijk 2008;Van Walsum and Veldhuizen 2011). The input variables in AZURE are designed to be used at a minimal resolution of 25 m, but the model can be run at a coarser spatial resolution.…”

Section: Modelmentioning

confidence: 99%

Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting

Engelenburg

Hueting

Rijpkema³

et al. 2017

Water Resour Manage

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Climate change and other future developments can influence the availability of groundwater resources for drinking water. The uncertainty of the projected impact is a challenge given the urgency to decide on adaptation measures to secure the drinking water supply. Improved understanding on how climate change affects the groundwater system is necessary to develop adaptation strategies. AZURE is used, a detailed, well-calibrated hydrological model to study the projected impact of climate change scenarios on the large Veluwe aquifer in the Netherlands. The Veluwe area is an important source of drinking water. However, some existing groundwater extractions in the area affect nearby groundwaterdependent ecosystems. Redistribution of the licensed extraction volumes of these sites is considered to reduce the impact on these ecosystems. The projected impact of climate change and redistribution to groundwater levels is studied. The research shows that in a slowly responding large aquifer the projected climate change may cause rising groundwater levels despite the projected increase in summer dryness. The results indicate that this impact may exceed the impact of redistribution of extraction volumes. In addition, it is shown that the combined effect strongly depends on local conditions, thus highlighting the need for highresolution modelling.

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Integration of models using shared state variables: Implementation in the regional hydrologic modelling system SIMGRO

Cited by 33 publications

References 9 publications

Transient Groundwater Travel Time Distributions and Age‐Ranked Storage‐Discharge Relationships of Three Lowland Catchments

Transient Groundwater Travel Time Distributions and Age‐Ranked Storage‐Discharge Relationships of Three Lowland Catchments

Aged streams: Time lags of nitrate, chloride and tritium assessed by Dynamic Groundwater Flow Tracking

Impact of Changes in Groundwater Extractions and Climate Change on Groundwater-Dependent Ecosystems in a Complex Hydrogeological Setting

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