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A Framework for Untangling Transient Groundwater Mixing and Travel Times
Author(s) -
Popp Andrea L.,
PardoÁlvarez Álvaro,
Schilling Oliver S.,
Scheidegger Andreas,
Musy Stéphanie,
Peel Morgan,
Brunner Philip,
Purtschert Roland,
Hunkeler Daniel,
Kipfer Rolf
Publication year - 2021
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2020wr028362
Subject(s) - groundwater , aquifer , tracer , hydrology (agriculture) , mixing (physics) , environmental science , geology , hydrogeology , soil science , geotechnical engineering , physics , quantum mechanics , nuclear physics
Abstract Understanding the mixing between surface water and groundwater as well as groundwater travel times in vulnerable aquifers is crucial to sustaining a safe water supply. Age dating tracers used to infer apparent travel times typically refer to the entire groundwater sample. A groundwater sample, however, consists of a mixture of waters with a distribution of travel times. Age dating tracers only reflect the proportion of the water that is under the dating range of the used tracer, thus their interpretation is typically biased. Additionally, end‐member mixing models are subject to various sources of uncertainties, which are typically neglected. In this study, we introduce a new framework that untangles groundwater mixing ratios and travel times using a novel combination of in‐situ noble gas analyses. We applied this approach during a groundwater pumping test carried out in a pre‐alpine Swiss valley. First, we calculated transient mixing ratios between recently infiltrated river water and regional groundwater present in a wellfield, using helium‐4 concentrations combined with a Bayesian end‐member mixing model. Having identified the groundwater fraction of recently infiltrated river water ( F rw ) consequently allowed us to infer the travel times from the river to the wellfield, estimated based on radon‐222 activities of F rw . Furthermore, we compared tracer‐based estimates of F rw with results from a calibrated numerical model. We demonstrate (i) that partitioning of major water sources enables a meaningful interpretation of an age dating tracer of the water fraction of interest and (ii) that the streambed has a major control on the estimated travel times.