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Modeling of a radionuclide transport experiment in granitic rock matrix at the Grimsel Test Site (Switzerland). The role of advection.

Authors: Josep M. Soler; Deby Jurado; Maarten W. Saaltink; Lurdes Martínez; Juan J. Hidalgo; G. William Lanyon; Martin Heule; +5 Authors

Modeling of a radionuclide transport experiment in granitic rock matrix at the Grimsel Test Site (Switzerland). The role of advection.

Abstract

Within the framework of the GTS-LTD project (Grimsel Test Site – Long-Term Diffusion), a radionuclide transport experiment in unfractured granitic rock matrix was performed. Grimsel groundwater containing several radionuclide tracers (3H as HTO, 36Cl−, 22Na+, 134Cs+, 133Ba2+) was continuously circulated through a packed-off borehole interval. The decrease in tracer concentrations in the solution was monitored for a period of 1266 days (March 05, 2014–August 22, 2017). Additionally, tracer breakthrough was monitored in an observation borehole at a distance of 18.6 cm. Initial modeling of the experiment (1D radial), considering transport only by diffusion, showed that the evolution of tracer concentrations departed from the expected trend after some time, with concentrations in the injection borehole decreasing faster than expected. Additional 2D calculations (section normal to the boreholes) were performed to check the possible effect of advection through the rock matrix. Advection could explain the evolution of concentrations in the injection borehole, but concentrations in the observation borehole were overestimated. Core samples from new boreholes were collected immediately after the end of the experiment, allowing the measurement of tracer distributions in the rock. The observed patterns for the non-sorbing tracers (HTO, 36Cl−) showed clear preferential transport directions, consistent with advective flow towards the gallery from which the boreholes were drilled. Final 3D modeling of the experiment can explain the measured concentrations in the boreholes and in the rock. Tracer transport for the conservative tracers (HTO, 36Cl−) is affected by both diffusion and advection through the granitic rock matrix. Also, in situ accessible porosities deduced from the modeling (0.0014) are smaller than those measured in rock samples (about 0.009), pointing to unloading and destressing of the rock samples after drilling. At the spatial and temporal scales of the experiment, the effect of advection for the weakly sorbing 22Na+ is only minor, and it is practically negligible for the strongly sorbing tracers (134Cs+, 133Ba2+).

The GTS-LTD project is financed by its partner institutions: JAEA (Japan), NUMO (Japan), UJV (Czech Rep.), SURAO (Czech Rep.), NAGRA (Switzerland) and BASE (Germany). IDAEA-CSIC is a Severo Ochoa Center of Research Excellence (Spanish Ministry of Science and Innovation, Project CEX 2018-000794-S). JMS acknowledges support from the Catalan Government through project 2021SGR00308. JJH acknowledges support from Grant RYC-2017-22300 funded by MCIN/AEI (10.13039/501100011033) and the European Social Fund “Investing in your future”. Finally, the constructive comments from two anonymous reviewers are gratefully acknowledged.

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Countries
Spain, Finland, Spain
Keywords

Modeling, Ensure access to affordable, reliable, sustainable and modern energy for all, http://metadata.un.org/sdg/3, http://metadata.un.org/sdg/9, http://metadata.un.org/sdg/7, Diffusion, Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation, Chemical sciences, Radionuclide, Advection, Radionuclid, Sorption, Ensure healthy lives and promote well-being for all at all ages

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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