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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/adgeo-58-11-2022</article-id><title-group><article-title>Reactive transport simulations of uranium migration in the Opalinus Clay depend on ion speciation governed by underlying thermodynamic data</article-title><alt-title>Migration simulations are governed by underlying thermodynamic data</alt-title>
      </title-group><?xmltex \runningtitle{Migration simulations are governed by underlying thermodynamic data}?><?xmltex \runningauthor{T.~Hennig and M.~K\"{u}hn}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Hennig</surname><given-names>Theresa</given-names></name>
          <email>theresa.hennig@gfz-potsdam.de</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Kühn</surname><given-names>Michael</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2650-6774</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>GFZ German Research Centre for Geosciences, Fluid Systems Modelling, Telegrafenberg, 14473 Potsdam, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>University of Potsdam, Institute of Geosciences, Karl-Liebknecht-Str. 24–25, 14476 Potsdam-Golm, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Theresa Hennig (theresa.hennig@gfz-potsdam.de)</corresp></author-notes><pub-date><day>20</day><month>October</month><year>2022</year></pub-date>
      
      <volume>58</volume>
      <fpage>11</fpage><lpage>18</lpage>
      <history>
        <date date-type="received"><day>13</day><month>July</month><year>2022</year></date>
           <date date-type="rev-recd"><day>6</day><month>October</month><year>2022</year></date>
           <date date-type="accepted"><day>7</day><month>October</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Theresa Hennig</copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022.html">This article is available from https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e91">Safety assessments must demonstrate that radionuclides in potential disposal sites are retained within the containment providing rock zone. The impact of thermodynamic data on calculated migration lengths resulting from reactive transport simulations is quantified for the example of uranium in the hydrogeological system of the Opalinus Clay at Mont Terri. In this geochemical system, speciation is controlled by the calcite-carbonate-ion system. Aqueous uranium is mainly present as U(VI) as ternary complexes with calcium or magnesium together with carbonate. Previous simulations using the first NEA update of thermodynamic data for uranium indicated that the anionic complex <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> is the predominant species with a maximum migration distance of 50 m after one million years. The NEA published an update of the thermodynamic data for uranium, what, in turn, changes the predominant species from anionic to almost only the neutral ternary complex <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ca</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. With identical simulations, except for the application of the second NEA update, a maximum distance of 80 m was obtained. This can be attributed to a decrease in sorption capacity due to a stronger complexation of uranium with calcium and carbonate. Therefore, the impact of the change in the underlying thermodynamic data can be quantified with <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> m. Our work clearly shows how sensitive migration lengths resulting from reactive transport simulations are to the model conceptualisation and selection of underlying data. Consequently, the compilation and further development of data sets and a site specific investigation are indispensable for reliable outcomes of transport simulations, and thus of performance assessments.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e169">Isolation of high-level radioactive nuclear wastes from the environment is to be ensured by the disposal in deep geological formations <xref ref-type="bibr" rid="bib1.bibx9" id="paren.1"/>. For safety assessments in Germany, it is of particular relevance to demonstrate that the thickness of the containment providing rock zone (CPRZ) is sufficient to retain the radionuclides for time periods of up to one million years. A thickness of at least 100 m is prescribed by law for this purpose (§ 23 Article 5 StandAG<fn id="Ch1.Footn1"><p id="d1e175">Standortauswahlgesetz (StandAG) of 5 May 2017 (Federal Law Gazette p. 1074) as last amended by Article 1 of the Act of 7 December 2020 (Federal Law Gazette p. 2760). URL: <uri>https://www.gesetze-im-internet.de/standag_2017/BJNR107410017.html</uri> (last access: 17 June 2022).</p></fn>). To cover the temporal and spatial scales required in the context of safety assessments, numerical simulations are indispensable to quantify radionuclide migration lengths.</p>
      <p id="d1e182">Argillaceous formations are among favoured host rocks due to their low permeability only allowing diffusive transport of radionuclides that can be retarded by sorption processes taking place on the surfaces of the inherent clay minerals. Both processes depend on pore water geochemistry and mineralogy. Reactive transport simulations numerically solved with geochemical codes, such as PHREEQC <xref ref-type="bibr" rid="bib1.bibx20" id="paren.2"/>, enable a process-based quantification of diffusion lengths and sorption effects as a function of both, pore water geochemistry and mineralogy, by the application of advanced approaches like surface complexation modelling. For this, comprehensive thermodynamic databases are required including the relevant species, mineral phases, surface complexes, exchangeable species and associated stability constants necessary to describe the investigated geochemical system and radionuclide. Therefore, changes in the underlying thermodynamic data affect simulated migration lengths. A comprehensive and up-to-date thermodynamic database is essential to quantify radionuclide migration lengths by the application of advanced approaches with reactive transport simulations.</p>
      <p id="d1e188">Migration of uranium, the main component of spent fuel, in the potential host rock Opalinus Clay has been quantified as a function of mineralogical heterogeneities between three litho-facies (shaly, sandy and carbonate-rich, Fig. <xref ref-type="fig" rid="Ch1.F1"/>) and for varying partial pressures of carbon dioxide <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx6" id="paren.3"><named-content content-type="pre"><inline-formula><mml:math id="M4" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,</named-content></xref> within the hydrogeological system at Mont Terri <xref ref-type="bibr" rid="bib1.bibx7" id="paren.4"/>. It has been shown that the application of the process-based multi-component diffusion approach <xref ref-type="bibr" rid="bib1.bibx1" id="paren.5"/>
provided no additional profit on the host rock scale. Calculated migration lengths did not differ significantly (<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> m) to simulations following Fick's law, and thus experimentally determined effective diffusion coefficients  can be used instead of the computationally intensive multi-component diffusion approach. Sorption must be quantified as a function of the geochemical conditions. Further, the results showed that present-day pore water profiles can be explained by diffusive exchange with the embedding aquifers <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx7" id="paren.6"/>. Previous simulations were conducted using the PSI/Nagra thermodynamic database <xref ref-type="bibr" rid="bib1.bibx24" id="paren.7"/> including the Nuclear Energy Agency (NEA) data for uranium published by <xref ref-type="bibr" rid="bib1.bibx5" id="text.8"/>. With this, the anionic ternary uranyl complex <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mo>-</mml:mo></mml:mrow></mml:math></inline-formula> is the predominant species in the geochemical system. In 2020, the NEA published an update of the thermodynamic data for uranium <xref ref-type="bibr" rid="bib1.bibx4" id="paren.9"/> including recent data from the literature. In particular, the values for the stability constants of the ternary complexes with calcium and carbonate were revised. As shown by <xref ref-type="bibr" rid="bib1.bibx6" id="text.10"/>, this might lead to significant changes in the speciation, and thus resulting migration lengths within the various facies of the Opalinus Clay, as uranium speciation is dominated by ternary complexes with calcium and carbonate. For instance, a difference of 1.33 log units in the value for the stability constant of the neutral complex <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ca</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>  changes the migration lengths by 5 to 7 m for the sandy and shaly facies, respectively. The next step, presented here, is the investigation what such a change in underlying thermodynamic data mean in metres difference on the host rock scale after one million years quantified with one-dimensional reactive transport models based on simulations of the hydrogeological system of the Opalinus Clay at Mont Terri <xref ref-type="bibr" rid="bib1.bibx7" id="paren.11"/>. For this, resulting migration lengths are compared between simulations with varying thermodynamic data sets of the NEA for uranium <xref ref-type="bibr" rid="bib1.bibx5 bib1.bibx4" id="paren.12"/>.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
      <p id="d1e315">One-dimensional diffusion simulations following Fick's laws were conducted with the geochemical code PHREEQC Version 3.5.0 <xref ref-type="bibr" rid="bib1.bibx20" id="paren.13"/>. The thermodynamic data is based on the PSI/Nagra database version 12/07 <xref ref-type="bibr" rid="bib1.bibx24" id="paren.14"/>. This database was updated with the thermodynamic data for uranium recently published by the NEA <xref ref-type="bibr" rid="bib1.bibx4" id="paren.15"/> and supplemented with the sorption data for the hydroxo-complexes of uranium on the inherent clay minerals. This sorption data set is based on published <inline-formula><mml:math id="M9" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> values and was compiled in the context of an uranium sorption experiment in Opalinus Clay
<xref ref-type="bibr" rid="bib1.bibx11" id="paren.16"/>. All surface parameters and reactions can be found in Table 1 of the Supplement of <xref ref-type="bibr" rid="bib1.bibx8" id="text.17"/>. Aqueous uranium speciation in the modelled system is dominated by ternary complexes with carbonate and calcium <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx6 bib1.bibx10" id="paren.18"/> that are not considered for sorption <xref ref-type="bibr" rid="bib1.bibx11" id="paren.19"/>. Diffusion and sorption experiments of uranium on clay minerals could be modelled without the requirement to include uranium surface complexes with carbonate as they do not sorb or only weakly
<xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx8 bib1.bibx7 bib1.bibx23 bib1.bibx25" id="paren.20"/>. As ionic strengths in the hydrogeological system of the Opalinus Clay at Mont Terri do not exceed 0.5 mol L<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx7" id="paren.21"/>, the Davies approach <xref ref-type="bibr" rid="bib1.bibx2" id="paren.22"/> is used for the database to represent ion-ion interactions <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx19" id="paren.23"/>. After closing of the repository, elevated temperatures are expected due to heat generated by the waste packages. However, this does not impact the migration behaviour of uranium <xref ref-type="bibr" rid="bib1.bibx12" id="paren.24"/>. Based on diffusion experiments for 25 and 60 <inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
<xref ref-type="bibr" rid="bib1.bibx12" id="paren.25"/>, it has been shown that diffusion as well as sorption increase with temperature, and thus compensate each other. Furthermore, changes in pore water composition for higher temperatures (45 <inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) are <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> %
<xref ref-type="bibr" rid="bib1.bibx26" id="paren.26"/>. Therefore, all simulations were conducted isothermal for a reference temperature of 25 <inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C according to the database.</p>
      <p id="d1e419">The hydrogeological system at Mont Terri is characterised by diffusive exchange over millions of years between the embedding aquifers in the Dogger and Lias and the 210 m thick CPRZ consisting of Opalinus Clay and Liassic shales <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx17" id="paren.27"/>. The Mont Terri anticline was uplifted during the Jura folding about 10 Ma ago and subsequent erosion enabled freshwater infiltration into both aquifers, and thus activated the current hydrogeological boundaries. Only after erosion of the overlying stratigraphic layers, the footwall aquifer was activated leading to a substantial time lag in freshwater infiltration, and thus to an asymmetric shape of present-day pore water profiles <xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx17" id="paren.28"/>. Based on purely diffusion-driven simulations <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx16 bib1.bibx7" id="paren.29"/>, modelled profiles match with pore water data measured at the underground laboratory Mont Terri <xref ref-type="bibr" rid="bib1.bibx21" id="paren.30"/>.</p>
      <p id="d1e434">The conceptual model applied here is equal to the one presented in <xref ref-type="bibr" rid="bib1.bibx7" id="text.31"/> despite the application of the updated thermodynamic data for uranium published by the NEA <xref ref-type="bibr" rid="bib1.bibx4" id="paren.32"/>. Therefore, the simulations of the hydrogeological system at Mont Terri presented by <xref ref-type="bibr" rid="bib1.bibx7" id="text.33"/> were used to represent the initial geochemical conditions in the investigated system as the NEA update only affects the speciation of uranium. Calcium, magnesium, pH and <inline-formula><mml:math id="M15" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> are the governing parameters for uranium speciation <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx6" id="paren.34"/>, and therefore only these modelled profiles are shown as an example for the other pore water components (Fig. <xref ref-type="fig" rid="Ch1.F1"/>). With differences <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> %, all modelled profiles match with the measured data. Within the CPRZ, pH and <inline-formula><mml:math id="M18" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> are coupled via the calcite-carbonate-ion system
<xref ref-type="bibr" rid="bib1.bibx21 bib1.bibx8" id="paren.35"/>. The scattering of measured values can be explained by the high sensitivity of both parameters, and thus associated uncertainties with measurements <xref ref-type="bibr" rid="bib1.bibx28" id="paren.36"/>. Therefore, the profiles modelled by
<xref ref-type="bibr" rid="bib1.bibx7" id="text.37"/>
with differences <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> % to the measured values were considered as sufficient to represent the initial conditions within the system. The model boundaries were defined by the water composition of the aquifers as Dirichlet-conditions at the model outlets. Numerical stability is ensured by the Neumann criteria. The uranium source term to represent the failed high-level waste canisters is integrated via a mineral equilibrium with uraninite (UO<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>(</mml:mo><mml:mi mathvariant="normal">am</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">hyd</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula>) as well as pyrite and siderite to control the redox conditions. The saturation index of uraninite is chosen so that a concentration of 1 <inline-formula><mml:math id="M22" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">mol</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> is applied in the centre of the model according to <xref ref-type="bibr" rid="bib1.bibx13" id="text.38"/> and <xref ref-type="bibr" rid="bib1.bibx12" id="text.39"/>. For further details on the conceptual model as well as initial and boundary conditions for the simulation of the hydrogeological system, we refer to <xref ref-type="bibr" rid="bib1.bibx7" id="text.40"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e566">Concentrations of pore water components decrease within the CPRZ (Opalinus Clay and Liassic Shales) towards embedding aquifers in the Liassic and Dogger. Initial geochemical conditions in the investigated system are represented by simulations of the hydrogeological system of the Opalinus Clay at Mont Terri conducted by <xref ref-type="bibr" rid="bib1.bibx7" id="text.41"/>. Calcium, magnesium, pH and <inline-formula><mml:math id="M23" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>CO<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> are the governing parameters for uranium speciation, and thus exemplary shown for the other pore water components. Deviations between modelled and measured data are given by the relative Root Mean Square Errors (rRMSE). Modified from <xref ref-type="bibr" rid="bib1.bibx7" id="text.42"/>.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022-f01.png"/>

      </fig>

      <p id="d1e597">Sorption is integrated via a bottom-up approach <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx22" id="paren.43"/> using surface complexation models based on the two-layer model of <xref ref-type="bibr" rid="bib1.bibx3" id="text.44"/> as well as cation exchange <xref ref-type="bibr" rid="bib1.bibx14" id="paren.45"/>.  An average clay mineral composition of 66 wt. % is used for the entire CPRZ as the geochemistry of the pore water is more decisive for uranium sorption processes than the amount of clay minerals
<xref ref-type="bibr" rid="bib1.bibx8" id="paren.46"/>. The individual clay mineral quantities of illite, montmorillonite and kaolinite as well as the values for the hydro-physical parameters are equal to <xref ref-type="bibr" rid="bib1.bibx7" id="text.47"/>. The distribution coefficient <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (m<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> kg<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is calculated from the PHREEQC results and used to evaluate the differences in the sorption capacity. The <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is defined as ratio between the species concentration adsorbed on the solid phase and present in the liquid phase. Diffusion processes are quantified following Fick's law using the <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with a value of <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.9</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> as determined by <xref ref-type="bibr" rid="bib1.bibx12" id="text.48"/> in an uranium diffusion experiment with Opalinus Clay. In previous studies
<xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx7" id="paren.49"/>, the present conceptual model was calibrated against this experiment. The neutral ternary complex was identified as predominant species in the diffusion experiment <xref ref-type="bibr" rid="bib1.bibx12" id="paren.50"/>
based on speciation calculations using stability constants similar to the NEA data of
<xref ref-type="bibr" rid="bib1.bibx4" id="text.51"/>. The <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of
<xref ref-type="bibr" rid="bib1.bibx12" id="text.52"/>
was used for all simulations. Accordingly, anion exclusion effects that would be reflected by a reduction of <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are not considered. In the literature, no data on the anion-accessible porosity ratios for the different ternary uranyl complexes are available. Therefore, the reduction of <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can only be estimated based on the porosity ratio for other species, like chloride. Furthermore, process-based simulations using the multi-component diffusion approach, which takes the interaction of charged species with the diffuse double layer into account <xref ref-type="bibr" rid="bib1.bibx1" id="paren.53"/>, showed  for the hydrogeological system at Mont Terri that anion exclusion effects only have a minor impact on the resulting migration lengths of uranium <xref ref-type="bibr" rid="bib1.bibx7" id="paren.54"/>.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Speciation of uranium in the Opalinus Clay system</title>
      <p id="d1e780">Speciation of uranium in the Opalinus Clay is controlled by the calcite-carbonate-ion equilibrium <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx6" id="paren.55"/>. Table <xref ref-type="table" rid="Ch1.T1"/> shows the speciation of uranium in the pore water of the shaly facies, i.e. at a depth of around 140 m corresponding to the highest calcium and magnesium concentrations (Fig. <xref ref-type="fig" rid="Ch1.F1"/>), using the second NEA update on thermodynamic data for uranium <xref ref-type="bibr" rid="bib1.bibx4" id="paren.56"/>. The species distribution is compared with similar simulations <xref ref-type="bibr" rid="bib1.bibx6" id="paren.57"/> using the previous published NEA data <xref ref-type="bibr" rid="bib1.bibx5" id="paren.58"/>.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e803">The aqueous species distribution changes from predominantly anionic to neutral ternary complexes with the application of the second NEA update for thermodynamic data of uranium <xref ref-type="bibr" rid="bib1.bibx4" id="paren.59"/> compared to the values published in <xref ref-type="bibr" rid="bib1.bibx6" id="text.60"/> using the data of the first NEA update <xref ref-type="bibr" rid="bib1.bibx5" id="paren.61"/>. Mol fraction (%) of main uranium species are exemplarily given for the pore water composition of the shaly facies and the predominant species is printed bold.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.89}[.89]?><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1">Species</oasis:entry>

         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center">Mol fraction (%) using NEA data according to </oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2">
                      <xref ref-type="bibr" rid="bib1.bibx5" id="text.62"/>
                    </oasis:entry>

         <oasis:entry colname="col3">
                      <xref ref-type="bibr" rid="bib1.bibx4" id="text.63"/>
                    </oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry colname="col1"><inline-formula><mml:math id="M36" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ca</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2">6</oasis:entry>

         <oasis:entry colname="col3"><bold>88</bold></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"><inline-formula><mml:math id="M37" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2"><bold>70</bold></oasis:entry>

         <oasis:entry colname="col3">10</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"><inline-formula><mml:math id="M38" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">MgUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2">16</oasis:entry>

         <oasis:entry colname="col3">2</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"><inline-formula><mml:math id="M39" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SrUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2">2</oasis:entry>

         <oasis:entry colname="col3">0</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"><inline-formula><mml:math id="M40" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2">5</oasis:entry>

         <oasis:entry colname="col3">0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"><inline-formula><mml:math id="M41" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mn mathvariant="normal">9</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col3"><inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e1107"><?xmltex \hack{\newpage}?>With the application of the second NEA update on thermodynamic data for uranium the species distribution changes from predominantly anionic to almost only the neutral ternary uranyl complex <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ca</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (Table <xref ref-type="table" rid="Ch1.T1"/>). The anionic complexes with calcium, magnesium and strontium decreased from roughly 90 % to <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> %, and therefore only represent a minor proportion of the total. U(IV) species account for <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> %. Accordingly, uranium is mainly present as U(VI) with the neutral ternary complex as predominant species.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Uranium migration in the hydrogeochemical Opalinus Clay system at Mont Terri</title>
      <p id="d1e1169">Uranium migration in a geochemically heterogeneous system is quantified using the second NEA update on thermodynamic data for uranium <xref ref-type="bibr" rid="bib1.bibx4" id="paren.64"/> for the example of the hydrogeological system of the Opalinus Clay at Mont Terri <xref ref-type="bibr" rid="bib1.bibx7" id="paren.65"/>. Resulting migration lengths are shown in Fig. <xref ref-type="fig" rid="Ch1.F2"/>a (green line) and compared with simulations using the NEA data published by <xref ref-type="bibr" rid="bib1.bibx5" id="text.66"/> to evaluate the impact of the second NEA update on the migration lengths <xref ref-type="bibr" rid="bib1.bibx7" id="paren.67"><named-content content-type="pre">blue line,</named-content></xref>. Corresponding distribution coefficients <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>  (m<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> kg<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) are given by the dots (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1225">Changes in the speciation alter the sorption behaviour, and thus migration lengths. Uranium migrates farther through the Opalinus Clay <bold>(a)</bold> using the thermodynamic NEA data according to <xref ref-type="bibr" rid="bib1.bibx4" id="text.68"/> with the neutral ternary uranyl complex as predominant species (green lines) compared to the simulations of <xref ref-type="bibr" rid="bib1.bibx7" id="text.69"/>, that are dominated by the anionic complex (blue lines), following the data of <xref ref-type="bibr" rid="bib1.bibx5" id="text.70"/>. The change in speciation is associated with a decrease in sorption capacity <bold>(b)</bold> represented by the distribution coefficients <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (m<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> kg<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) calculated from PHREEQC.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/58/11/2022/adgeo-58-11-2022-f02.png"/>

        </fig>

      <p id="d1e1282">In the simulations using the second NEA update on thermodynamic data for uranium (green lines, Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) maximum migration distances were 80 and 70 m towards the Dogger and Liassic, respectively. Accordingly, uranium migrates about 30 m farther compared to the simulations presented in <xref ref-type="bibr" rid="bib1.bibx7" id="text.71"/> based on the first NEA update (blue lines, Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) with maximum distances of 50 and 30 m towards Dogger and Lias, respectively. With the change in the predominant species due to the application of the second NEA update for uranium data <xref ref-type="bibr" rid="bib1.bibx4" id="paren.72"/>, the sorption capacity represented by the <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases, e.g. at a depth of 150 m from <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> kg<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
      <p id="d1e1375">The impact of the second NEA update for the thermodynamic data for uranium <xref ref-type="bibr" rid="bib1.bibx4" id="paren.73"/> on the migration behaviour is quantified for the example of the geochemically heterogeneous Opalinus Clay system at Mont Terri. This is done by comparing resulting migration lengths with equal simulations except for the application of the first NEA update <xref ref-type="bibr" rid="bib1.bibx5" id="paren.74"/>.</p>
      <p id="d1e1384">Speciation calculations for the pore water composition of the shaly facies, i.e. at a depth of 140 m corresponding to the highest ionic strength (Fig. <xref ref-type="fig" rid="Ch1.F1"/>), showed that the predominant species changes from anionic to almost only the neutral ternary complex (Table <xref ref-type="table" rid="Ch1.T1"/>). This is in line with speciation measurements done in the frame of an uranium diffusion experiment with Opalinus Clay <xref ref-type="bibr" rid="bib1.bibx12" id="paren.75"/>. The change in the predominant species (Table <xref ref-type="table" rid="Ch1.T1"/>) is associated with a farther migration of uranium of up to 30 m (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) due to a decrease in the sorption capacity (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b). This can only be explained by the speciation, in particular the  stronger complexation of uranium with calcium and carbonate (Table <xref ref-type="table" rid="Ch1.T1"/>) with the application of the second NEA update <xref ref-type="bibr" rid="bib1.bibx4" id="paren.76"/>, as the same <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was used for all simulations. Anion exclusion effects are not taken into account as the composition of the diffuse double layer is only used in the model concept to counterbalance the surface charge. With the first NEA update <xref ref-type="bibr" rid="bib1.bibx5" id="paren.77"/>, about 94 % of uranium is present as ternary complexes as can be read from the percentages given in Table <xref ref-type="table" rid="Ch1.T1"/>. However, this percentage proportion increases to almost 100 % with the second update <xref ref-type="bibr" rid="bib1.bibx4" id="paren.78"/>. This, in turn, means that uranium increasingly forms ternary complexes, and thus less uranyl-ions are in total available to be retarded by sorption processes on the clay minerals (Table <xref ref-type="table" rid="Ch1.T1"/>). The sorption capacity or <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> value, respectively, decreases and migration lengths increase (Fig. <xref ref-type="fig" rid="Ch1.F2"/>), because only uranyl ions are considered for sorption in the database. Consequently, the uranyl concentration in the modelled system has a huge impact on the sorption effects and ultimately on the calculated migration lengths.</p>
      <p id="d1e1441">Maximum migration distance of uranium is 80 m after one million years. The retention capacity of the Opalinus Clay seems to be sufficient to retain uranium, since concentrations close to the aquifers do not exceed the natural background concentration (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). However, the total thickness of the CPRZ is <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> m in the investigated scenario. In Germany, one of the minimum requirements defined by law (§ 23 Article 5 StandAG<inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>) is a thickness of at least 100 m for the CPRZ, regardless of the host rock type: argillaceous formation, crystalline or salt rock. This does not imply that such a thickness is sufficient in any case. Assuming that a potential repository is constructed in the centre, this would mean for the investigated case that uranium reaches adjacent aquifers as the retention capacity of the CPRZ is not sufficient. In this case, the site would not be suitable, because the safety requirements are not fulfilled. Should a thickness of at least 200 m therefore be favoured to fulfill safety requirements? The underground rock laboratory Mont Terri solely serves for the investigation of the Opalinus Clay as host formation. The site was and will never be considered as a potential disposal site due to its specific geological structure. For instance, the geochemical gradients at the potential disposal sites in Switzerland are less pronounced compared to Mont Terri <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx18 bib1.bibx26 bib1.bibx27" id="paren.79"/>. Sorption would decrease less towards the aquifers leading to reduced uranium migration. Hence, the impact of the hydrogeological system at the potential disposal sites on the migration lengths is diminished compared to Mont Terri. Furthermore, our simulations have to be considered as maximum scenarios as the impact of the engineered barriers is not taken into account <xref ref-type="bibr" rid="bib1.bibx7" id="paren.80"/>. They are supposed to minimize the source term concentration. Accordingly, the concentration gradient in Fick's laws is smaller and so diffusive transport. Site-specific analyses of the hydrogeological system as well as a more realistic integration of the source term concentration is required in order to calculate migration lengths of uranium at a potential disposal site. Nevertheless, our work shows how sensitive migration lengths resulting from reactive transport simulations are to the model conceptualization as well as selection of underlying thermodynamic data. Consequently, compilation and further development of comprehensive data sets is required and a site specific analyses of the hydrogeological system indispensable.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e1480">The impact of thermodynamic data on migration lengths resulting from reactive transport simulations is quantified for the example of uranium in the hydrogeological system of the Opalinus Clay at Mont Terri. In the geochemical system, speciation is controlled by the calcite-carbonate-ion system. In the pore water, uranium is mainly present as U(VI) as ternary complexes with calcium or magnesium together with carbonate. Previous simulations using the first NEA update of thermodynamic data for uranium indicated that the anionic complex <inline-formula><mml:math id="M62" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaUO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msubsup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> is the predominant species with a maximum distance of 50 m after one million years. The NEA published an update of the thermodynamic data for uranium, what, in turn, changes the predominant species from anionic to almost only the neutral ternary complex <inline-formula><mml:math id="M63" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ca</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">UO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. With identical simulations, except for the application of the second NEA update, a maximum distance of 80 m was obtained. Consequently, the impact of the change in the underlying thermodnamic data can be quantified with <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> m.</p>
      <p id="d1e1549">A stronger complexation of uranium with calcium and carbonate decreases sorption capacity. Sorption is quantified for the uranyl-hydroxo complexes. Due to the stronger complexation of uranium with calcium and carbonate with the application of the second NEA update, less uranyl-ions are in total available for sorption. This, in turn, decreases the sorption capacity, as shown by calculated <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values, and leads to a farther migration through the formation.</p>
      <p id="d1e1563">The presented simulations show, how sensitive migration lengths of uranium resulting from reactive transport simulations are to the model concept, underlying thermodynamic data and applied approaches. Consequently, a site specific analysis of the hydrogeological system at potential disposal sites in combination with a comprehensive and up-to-date database are required to conduct reliable and powerful process-based simulations to quantify radionuclide migration lengths.</p>
</sec>

      
      </body>
    <back><notes notes-type="codeavailability"><title>Code availability</title>

      <p id="d1e1570">All applied software codes are referenced within the manuscript and open access (<ext-link xlink:href="https://doi.org/10.3133/tm6A43" ext-link-type="DOI">10.3133/tm6A43</ext-link>; <xref ref-type="bibr" rid="bib1.bibx20" id="altparen.81"/>).</p>
  </notes><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1582">All input data is referenced within the manuscript and available via <uri>https://www.psi.ch/en/les/database</uri> (last access: 13 July 2022; <xref ref-type="bibr" rid="bib1.bibx24" id="altparen.82"/>),  <uri>https://www.oecd-nea.org/jcms/pl_20079/chemical-thermodynamics-series</uri> (last access: 13 July 2022; <xref ref-type="bibr" rid="bib1.bibx4" id="altparen.83"/>),  <xref ref-type="bibr" rid="bib1.bibx11" id="text.84"/>, <xref ref-type="bibr" rid="bib1.bibx8" id="text.85"/>, <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx7" id="text.86"/>, <xref ref-type="bibr" rid="bib1.bibx21" id="text.87"/>, <xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx12" id="text.88"/>, <xref ref-type="bibr" rid="bib1.bibx17" id="text.89"/>.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1619">Conceptualization of the manuscript was done by both authors. The software maintenance, investigation as well as original draft writing was conducted by TH. The supervision and funding acquisition was done by MK. Both authors were responsible for reviewing and editing the manuscript and all authors have read and agreed to the published
version of the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1625">The contact author has declared that neither of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1631">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1637">This article is part of the special issue “European Geosciences Union General Assembly 2022, EGU Division Energy, Resources &amp; Environment (ERE)”. It is a result of the EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1643">The authors acknowledge the funding by the German Federal Ministry of Education and Research (project number 02NUK053D), the Helmholtz Association (project number SO-093) and the GFZ German Research Centre for Geosciences Potsdam.  Furthermore, the authors would like to thank Claudia Joseph and Madlen Stockmann for the fruitful discussions that inspired this work as well as Axel Liebscher and two anonymous reviewers for their time and annotations that improved the manuscript.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1648">The publication has been supported within the funding programme “Open Access Publikationskosten” of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project no. 491075472).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
The article processing charges for this open-access <?xmltex \notforhtml{\newline}?>publication were covered by the Helmholtz Centre Potsdam – <?xmltex \notforhtml{\newline}?>GFZ German Research Centre for Geosciences.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1661">This paper was edited by Viktor J. Bruckman and reviewed by Axel Liebscher and two anonymous referees.</p>
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