Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow

• A parsimonious groundwater model simulates inter-catchment groundwater flow (IGF). • The model quantifies the complex space–time dynamics of IGF. • IGF can considerably affect mass balance within a topographic catchment boundary. Inter-catchment groundwater flow (IGF) can affect the quantity and quality of freshwater as it connects topographically separated catchments. Therefore, assessing the space–time variability of IGF is important in water resources management. Traditional measurements of rainfall, evapotranspiration, and runoff can provide indications of IGF through catchment-scale mass balance analysis. However, it is difficult to study the detailed space–time variability of IGF using measurements only. Current rainfall-runoff models often either neglect IGF completely or include an over-simplified representation disregarding the spatial variability of IGF. Three-dimensional groundwater flow models can simulate the space–time variability of IGF, although they require a substantial amount of data and computational resources. In comparison, a two-dimensional model that simulates groundwater flow only horizontally considering depth-averaged hydrogeological properties, demands significantly less subsurface data and computational resources. This study evaluates the performance of a two-dimensional groundwater flow model in simulating IGF across the topographic boundaries of two chalk catchments, namely Kennet (1,033 km 2 ) and Pang (171 km 2 ) located in the South of England. Using publicly available data, our proposed model is capable of reasonably reproducing the variability in observed flow – with Kling-Gupta Efficiencies of 0.91 for Kennet and 0.8 for Pang – as well as groundwater head, achieving a coefficient of determination of 0.85. We demonstrate that our model simulates the space–time variability of IGF and closes the mass balance within the topographic catchment boundaries consistent with observations. We find that a topographic catchment can lose 19 % of its annual precipitation as IGF, supporting the needs for including the space–time variability of IGF in freshwater management.

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Publication Details

Journal
Journal of Hydrology
Published
2025-07-16
DOI
https://doi.org/10.1016/j.jhydrol.2025.133900
Citations
1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.82

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article

Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow

Andreas Hartmann, Francesca Pianosi, Ross Woods, Mostaquimur Rahman et al.
1 citations
Journal of Hydrology
Hydrology and Watershed Management Studies
0.82
article

Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow

Andreas Hartmann, Francesca Pianosi, Ross Woods, Mostaquimur Rahman, Thorsten Wagener
article en
1 citations

Abstract

• A parsimonious groundwater model simulates inter-catchment groundwater flow (IGF). • The model quantifies the complex space–time dynamics of IGF. • IGF can considerably affect mass balance within a topographic catchment boundary. Inter-catchment groundwater flow (IGF) can affect the quantity and quality of freshwater as it connects topographically separated catchments. Therefore, assessing the space–time variability of IGF is important in water resources management. Traditional measurements of rainfall, evapotranspiration, and runoff can provide indications of IGF through catchment-scale mass balance analysis. However, it is difficult to study the detailed space–time variability of IGF using measurements only. Current rainfall-runoff models often either neglect IGF completely or include an over-simplified representation disregarding the spatial variability of IGF. Three-dimensional groundwater flow models can simulate the space–time variability of IGF, although they require a substantial amount of data and computational resources. In comparison, a two-dimensional model that simulates groundwater flow only horizontally considering depth-averaged hydrogeological properties, demands significantly less subsurface data and computational resources. This study evaluates the performance of a two-dimensional groundwater flow model in simulating IGF across the topographic boundaries of two chalk catchments, namely Kennet (1,033 km 2 ) and Pang (171 km 2 ) located in the South of England. Using publicly available data, our proposed model is capable of reasonably reproducing the variability in observed flow – with Kling-Gupta Efficiencies of 0.91 for Kennet and 0.8 for Pang – as well as groundwater head, achieving a coefficient of determination of 0.85. We demonstrate that our model simulates the space–time variability of IGF and closes the mass balance within the topographic catchment boundaries consistent with observations. We find that a topographic catchment can lose 19 % of its annual precipitation as IGF, supporting the needs for including the space–time variability of IGF in freshwater management.

Journal of HydrologyVol. 662
University of Potsdam (DE), University of Bristol (GB), Groundwater Center (DE)
Alexander von Humboldt-Stiftung, Bundesministerium für Bildung und Forschung
Clean water and sanitation
Openalex Percentile: Top 25%
Hydrology and Watershed Management Studies
0.82
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