Exploring the reliability of 222Rn as a tracer of groundwater age in alluvial aquifers: Insights from the explicit simulation of variable 222Rn production.

Knowledge of groundwater residence times (GRT; the time elapsed since surface water infiltration) between losing rivers and pumping wells is crucial for management of water resources in alluvial aquifers. The radioactive noble gas radon-222 (222Rn) has been used for decades as a natural indicator of surface water infiltration, as it can provide quantitative information on GRT. However, models using 222Rn as a tracer of GRT are often based on a set of highly simplifying assumptions, including spatially homogenous 222Rn production and exclusively advective mass transport within the aquifer. In this paper, we use the integrated surface-subsurface hydrological model HydroGeoSphere (HGS) to simulate 222Rn transport, production, and decay in a bank filtration context. Spatially variable 222Rn production, based on experimental data, is explicitly considered. We show that variable 222Rn production rates, coupled with hydrodispersive mixing of groundwater, may lead to large biases in GRT estimates. Under certain transient conditions however, changes in tracer-derived GRTs correlate well with changes in mean groundwater age. Whereas 222Rn-derived GRTs may only be reliable under a narrow range of field conditions, 222Rn may serve as a powerful tracer of changes in mean GRT even in complex and heterogenous environments.