Wittmann et al. (2025) Model data underlying the publication: Drought mitigation as a driver of flood risk: Assessing the trade-offs induced by Natural Water Retention Measures

Identification

• Journal: 4TU.ResearchData
• Year: 2025
• Date: 2025-11-21
• Authors: Wittmann, Christopher, Kingma, Vera, Schoonderwoerd, Eva
• DOI: 10.4121/6ac0cbc7-58e1-4210-bd68-639e20174454.v2

Research Groups

• Soil Geography and Landscape Group, Wageningen University & Research
• Deltares
• Brabantse Delta Water Authority

Short Summary

This study provides a comprehensive model dataset to assess the trade-offs of Natural Water Retention Measures (NWRM) on flood risk in shallow groundwater environments by simulating design storm events using a sequentially coupled subsurface-surface hydrological model.

Objective

• To understand the effects of Natural Water Retention Measures (NWRM) on flood risk in shallow groundwater environments by simulating design storm events under baseline and future climate scenarios.

Study Configuration

• Spatial Scale: Chaamse beken catchment, North Brabant, The Netherlands (latitude 51.504° N, longitude 4.861° E). The subsurface model was refined from 250 m x 250 m to a 25 m x 25 m grid. The surface water model uses a 1D waterway network coupled to a 2D catchment grid of 25 m x 25 m resolution.
• Temporal Scale: Baseline long-term groundwater simulation for 1996-2004. Climate scenario WH-2050. Representative dates for rainfall event simulations: 16 January 2002 and 7 January 2002.

Methodology and Data

• Models used:
  • MODFLOW6 (dynamically coupled groundwater component)
  • MetaSWAP (component representing unsaturated zones)
  • Delft3D 1D2D FM (hydrodynamic surface water model)
• Data sources:
  • Regional groundwater model of North Brabant (Brabantse Delta Water Authority).
  • Dutch database for surface water systems HyDAMO (NHI, 2024).
  • Drainage network of North Brabant (Brabantse Delta Water Authority).
  • Dutch national Digital Terrain Model (AHN, 2024).
  • Model outputs provided: Gridded groundwater levels and fluxes (IDF, HED, CBC files), gridded water depth, volume, and flow velocity (NetCDF files).

Main Results

• The dataset includes long-term mean high (MHG) and mean low (MLG) groundwater levels for the 1996-2004 baseline period.
• It provides data for a reference case and a drought mitigation scenario under the WH2050 future climate scenario.
• Annual high (HG3) and low (LG3) groundwater levels, and groundwater levels for a specified day representative of MHG (January 2002) are included.
• Groundwater fluxes to the surface level and stream network are provided.
• Gridded final simulation time step outputs and maxima for water depth and volume from the surface water model are available.
• Hourly gridded groundwater heads and surface water outputs of rainfall events are available upon request.

Contributions

This article provides a unique and comprehensive model dataset generated by a sequentially coupled subsurface-surface modeling approach. It enables detailed assessment of the trade-offs induced by Natural Water Retention Measures on flood risk in shallow groundwater environments under both current and future climate conditions, supporting integrated hydrological assessments and understanding of sponge functioning.

Funding

• Evidence and Solutions for improving SPONGE Functioning at LandSCAPE Scale in European Catchments for increased Resilience of Communities against Hydrometeorological Extreme Events (Horizon Europe, grant code 101112738)

Citation

@article{Wittmann2025Model,
  author = {Wittmann, Christopher and Kingma, Vera and Schoonderwoerd, Eva},
  title = {Model data underlying the publication: Drought mitigation as a driver of flood risk: Assessing the trade-offs induced by Natural Water Retention Measures},
  journal = {4TU.ResearchData},
  year = {2025},
  doi = {10.4121/6ac0cbc7-58e1-4210-bd68-639e20174454.v2},
  url = {https://doi.org/10.4121/6ac0cbc7-58e1-4210-bd68-639e20174454.v2}
}

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