Department Water Resources and Drinking Water
Forecasting groundwater levels
Groundwater has historically been perceived as a secure source of freshwater that is relatively resistant to changes in meteorology. Extreme hydrological events in recent years (floods and droughts) have shown that groundwater may be more vulnerable than previously assumed. To support decision making on groundwater resource management, a good understanding and forecasting of groundwater dynamics is required. These dynamics depend on a variety of stresses such as precipitation, evaporation, river dynamics, and groundwater pumping. We explored the application of lumped-parameter models using impulse response functions to simulate observed groundwater levels from the Swiss nationwide groundwater monitoring network (NAQUA). High levels of accuracy were achieved with this approach. In the project, we applied this new type of models to (i) systematically analyze the sensitivity of groundwater systems in Switzerland to extreme events and (ii) forecast groundwater levels. The results from the project are used to develop an operational groundwater information system, helping water decision makers to make short- and long-term decisions on the management of groundwater.
- Raoul Collenteur W+T)
Funding
EAWAG Discretionary Fund
Publications
- Collenteur, R. A., Bogner, K., Zappa, M., Schirmer, M., and Moeck, C.: An ensemble groundwater prediction (EGP) system to forecast groundwater levels in alluvial aquifers in Switzerland, EGUsphere.
- Collenteur, R. A., Moeck, C., Schirmer, M., & Birk, S. (2023). Analysis of nationwide groundwater monitoring networks using lumped-parameter models. Journal of Hydrology, 626, 130120.
- Collenteur, R. A., Jimenez-Martinez, J., Schirmer, M, Moeck, C. (2026). A national-scale database of groundwater level data for Switzerland. Sci Data
- Collenteur, Raoul Alexander, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White et al. "Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge." Hydrology and Earth System Sciences 2024 (2024): 1-21.