Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties

Abhervé, Ronan; Roques, Clément; Gauvain, Alexandre; Longuevergne, Laurent; Louaisil, Stéphane; Aquilina, Luc; de Dreuzy, Jean-Raynald

doi:https://doi.org/10.5194/hess-27-3221-2023

Articles | Volume 27, issue 17

https://doi.org/10.5194/hess-27-3221-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-27-3221-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 17

Research article

| Highlight paper

|

08 Sep 2023

Research article | Highlight paper |

| 08 Sep 2023

Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties

Ronan Abhervé, Clément Roques, Alexandre Gauvain, Laurent Longuevergne, Stéphane Louaisil, Luc Aquilina, and Jean-Raynald de Dreuzy

Supplement

https://doi.org/10.5194/hess-27-3221-2023-supplement

Model code and software

Python code to test the calibration method of a groundwater flow model using a stream network Ronan Abhervé https://doi.org/10.5281/zenodo.8311547

Short summary

We propose a model calibration method constraining groundwater seepage in the hydrographic network. The method assesses the hydraulic properties of aquifers in regions where perennial streams are directly fed by groundwater. The estimated hydraulic conductivity appear to be highly sensitive to the spatial extent and density of streams. Such an approach improving subsurface characterization from surface information is particularly interesting for ungauged basins.