Evaluating predictive uncertainty changes by including anthropogenic gadolinium during model calibration

Katarina Mihajlović1, Philipp Höhn1, Thilo Hofmann1
1 University of Vienna, Centre for Microbiology and Environmental Systems Science, Department of Environmental Geosciences

14.7 in Young Hydrogeologists Forum

25.03.2020, 16:45-17:00, Telemann-Saal

Alluvial aquifers represent important drinking and irrigation water resources throughout the world and, as such, require sustainable management [1][2][3][4]. Due to the high heterogeneity of the hydraulic properties of alluvial aquifers, generating representative groundwater models to assist management is challenging. Groundwater models are generally calibrated against hydraulic heads, but these classical observations provide only limited information to the calibration process, resulting in models with non-unique parameters and higher predictive uncertainties. Unconventional observation types, i.e. independent parameters like anthropogenic gadolinium (Gdanth), have been included as additional targets to calibrate groundwater models and yield lower predictive uncertainties [5]. Gdanth is a non-reactive and conservative tracer used to investigate river-aquifer interactions [6], but its application in groundwater model calibration is yet to be tested. Based on its physicochemical properties, using observations of Gdanth concentrations as additional calibration targets might reduce predictive uncertainties of models and will be presented at the conference.



[1]    Schilling, O. S., Gerber, C., Partington, D. J., Purtschert, R., Brennwald, M. S., Kipfer, R., Hunkeler, D., & Brunner, P. (2017): Advancing Physically‐Based Flow Simulations of Alluvial Systems Through Atmospheric Noble Gases and the Novel 37Ar Tracer Method. – In: Water Resources Research, 53, 12: 10465-10490.
[2]    Bhattacharya, P., Chatterjee, D. & Jacks, G. (1997): Occurrence of arsenic contaminated groundwater in alluvial aquifers from Delta Plains, Eastern India: options for safe drinking water supply. – In: Water Resour. Dev., 13: 79–92.
[3]    Schürch, M. & Vuataz, F. D. (2000). Groundwater components in the alluvial aquifer of the alpine Rhone River valley, Bois de Finges area, Wallis Canton, Switzerland. – In: Hydrogeol. J., 8: 549-563.
[4]    Fernald, S., & Guldan, S. (2006): Surface-Groundwater Interactions Between Irrigation Ditches, Alluvial Aquifers, and Streams. – In: Reviews in Fisheries Science, 14: 79–89.
[5]    Schilling, O.S., Cook, P.G. & Brunner, P. (2019): Beyond classical observations in hydrogeology: the advantages of including exchange flux, temperature, tracer concentration, residence time, and soil moisture observations in groundwater model calibration. – In: Rev. Geophys., 57: 146–182.
[6]    Brünjes, R., Bichler, A., Hoehn, P., Lange, F.T., Brauch, H.J. & Hofmann, T. (2016): Anthropogenic gadolinium as a transient tracer for investigating river bank filtration. –In: Sci. Total Environ., 571: 1432–1440.



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