Summary
This narrative review synthesises evidence demonstrating that classical hydrogeological observations (hydraulic heads and surface water discharge) alone are insufficient to constrain groundwater flow model uncertainty. The authors evaluate non-classical observation types—particularly tracer concentrations and exchange flux measurements—showing substantially improved calibration outcomes, whilst temperature observations showed limited utility except near surface water–groundwater interfaces. The review identifies a critical practice gap: most models remain calibrated manually despite available automated tools, and advocates for systematic implementation of unconventional observations and mathematically robust calibration methods.
UK applicability
The findings are directly applicable to UK groundwater management, where improved model calibration could enhance predictions of contaminant transport, aquifer recharge, and surface water–groundwater interactions. Implementation would require wider adoption of tracer monitoring networks and automated calibration methods in UK hydrogeological practice and regulation.
Key measures
Model calibration uncertainty reduction; information content of tracer concentrations, exchange fluxes, temperature observations, residence time, and soil moisture; predictive accuracy of flow models
Outcomes reported
The study synthesised evidence on incorporating tracer concentrations, exchange flux, temperature, residence time, and soil moisture observations into groundwater flow model calibration. It quantified the information content and predictive utility of each observation type relative to traditional hydraulic head and discharge data.
Topic tags
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