A Framework for Untangling Transient Groundwater Mixing and Travel Times
dc.contributor.author
Popp, Andrea L.
dc.contributor.author
Pardo-Álvarez, Álvaro
dc.contributor.author
Schilling, Oliver S.
dc.contributor.author
Scheidegger, Andreas
dc.contributor.author
Musy, Stéphanie
dc.contributor.author
Peel, Morgan
dc.contributor.author
Brunner, Philip
dc.contributor.author
Purtschert, Roland
dc.contributor.author
Hunkeler, Daniel
dc.contributor.author
Kipfer, Rolf
dc.date.accessioned
2021-05-05T09:16:40Z
dc.date.available
2021-05-05T04:05:16Z
dc.date.available
2021-05-05T09:16:40Z
dc.date.issued
2021-04
dc.identifier.issn
0043-1397
dc.identifier.issn
1944-7973
dc.identifier.other
10.1029/2020WR028362
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/482482
dc.identifier.doi
10.3929/ethz-b-000482482
dc.description.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 (Frw) consequently allowed us to infer the travel times from the river to the wellfield, estimated based on radon‐222 activities of Frw. Furthermore, we compared tracer‐based estimates of Frw 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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
American Geophysical Union
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc/3.0/
dc.subject
environmental tracers
en_US
dc.subject
subsurface mixing
en_US
dc.subject
surface water‐groundwater interactions
en_US
dc.subject
tracer hydrology
en_US
dc.subject
travel times
en_US
dc.title
A Framework for Untangling Transient Groundwater Mixing and Travel Times
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial 3.0 Unported
dc.date.published
2021-03-11
ethz.journal.title
Water Resources Research
ethz.journal.volume
57
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Water Resour. Res.
ethz.pages.start
e2020WR028362
en_US
ethz.size
16 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-05-05T04:05:23Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-05-05T09:16:50Z
ethz.rosetta.lastUpdated
2022-03-29T07:02:38Z
ethz.rosetta.versionExported
true
ethz.COinS
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