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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">HESS</journal-id>
<journal-title-group>
<journal-title>Hydrology and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">HESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Hydrol. Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1607-7938</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/hess-20-39-2016</article-id><title-group><article-title>Accelerated gravity testing of aquitard core permeability and implications
at formation and regional scale</article-title>
      </title-group><?xmltex \runningtitle{Accelerated gravity testing of aquitard core permeability}?><?xmltex \runningauthor{W.~A.~Timms et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Timms</surname><given-names>W. A.</given-names></name>
          <email>w.timms@unsw.edu.au</email>
        <ext-link>https://orcid.org/0000-0002-6114-5866</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Crane</surname><given-names>R.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Anderson</surname><given-names>D. J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Bouzalakos</surname><given-names>S.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Whelan</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>McGeeney</surname><given-names>D.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Rahman</surname><given-names>P. F.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Acworth</surname><given-names>R. I.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Mining Engineering, University of New South Wales, Sydney,
Australia</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>UNSW Connected Waters Initiative affiliated with the National Centre
for Groundwater Research and Training, <?xmltex \hack{\break}?>Sydney, Australia</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Water Research Laboratory, School of Civil and Environmental
Engineering, University of New South Wales, <?xmltex \hack{\newline}?>Sydney, Australia</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">W. A. Timms (w.timms@unsw.edu.au)</corresp></author-notes><pub-date><day>15</day><month>January</month><year>2016</year></pub-date>
      
      <volume>20</volume>
      <issue>1</issue>
      <fpage>39</fpage><lpage>54</lpage>
      <history>
        <date date-type="received"><day>11</day><month>November</month><year>2014</year></date>
           <date date-type="rev-request"><day>9</day><month>March</month><year>2015</year></date>
           <date date-type="rev-recd"><day>20</day><month>October</month><year>2015</year></date>
           <date date-type="accepted"><day>12</day><month>November</month><year>2015</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://hess.copernicus.org/articles/.html">This article is available from https://hess.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://hess.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://hess.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>Evaluating the possibility of leakage through low-permeability geological
strata is critically important for sustainable water supplies, the extraction
of fuels from coal and other strata, and the confinement of waste within the
earth. The current work demonstrates that relatively rapid and realistic
vertical hydraulic conductivity (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) measurements of aquitard cores using
accelerated gravity can constrain and compliment larger-scale assessments of
hydraulic connectivity. Steady-state fluid velocity through a low-<inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> porous
sample is linearly related to accelerated gravity (<inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level) in a centrifuge
permeameter (CP) unless consolidation or geochemical reactions occur. A CP
module was custom designed to fit a standard 2 m diameter geotechnical
centrifuge (550 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> maximum) with a capacity for sample dimensions up to 100 mm
diameter and 200 mm length, and a total stress of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 MPa
at the base of the core. Formation fluids were used as influent to limit any
shrink–swell phenomena, which may alter the permeability. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results from
CP testing of minimally disturbed cores from three sites within a clayey-silt
formation varied from 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> to 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> (number of samples,
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>18</mml:mn></mml:mrow></mml:math></inline-formula>). Additional tests were focussed on the Cattle Lane (CL) site, where
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> within the 99 % confidence interval (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>) was <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>. These <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results were very
similar to an independent in situ <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> method based on pore pressure
propagation though the sequence. However, there was less certainty at two
other core sites due to limited and variable <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data. Blind standard
1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column tests underestimated <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> compared to CP and in situ <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
data, possibly due to deionised water interactions with clay, and were more
time-consuming than CP tests. Our <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results were compared with the
set-up of a flow model for the region, and considered in the context of
heterogeneity and preferential flow paths at site and formation scale.
Reasonable assessments of leakage and solute transport through aquitards over
multi-decadal timescales can be achieved by accelerated core testing together
with complimentary hydrogeological monitoring, analysis, and modelling.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Clay or other low-permeability sediment and rock often dominate sedimentary
sequences and can form important aquitards (Potter et al., 1980). These
hydraulic barriers often overlie aquifers that yield strategically important
fresh water resources and form important cap rocks or seals between shallow
aquifers and deeper strata targeted for depressurisation during gas or
mineral extraction (Timms et al., 2012). The current work compares the
results of steady-state centrifuge permeability testing of semi-consolidated
drill core samples with column tests at standard gravity (1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> at earth's
surface, 9.8065 m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Results of laboratory tests were also compared
with in situ permeability, based on analysis of pore pressure propagation at
formation scale.</p>
      <p>Thick, low hydraulic conductivity (<inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula>), un-oxidised, clay-rich aquitards
represent important sites for waste confinement and disposal (including
high-level radioactive waste and the sequestration of carbon dioxide and
saline effluents) and act as protective covers for regional aquifers (Cherry
et al., 2004). Effective shale and claystone flow barriers are required to
disconnect shallow aquifer systems from underlying coal seams that are
depressurised to produce gas (Timms et al., 2012; APLNG, 2013). Fine-grained
geologic media are also commonly used as engineered barriers to limit
horizontal seepage of mine water (Bouzalakos et al., 2014), for containment
of tailings (Znidarčić et al., 2011), and disposal of municipal
refuse and nuclear waste (Rowe et al., 1995). Low-permeability material is
defined by <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> of &lt; 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> (Neuzil, 1986). The US EPA
requires low-permeability waste barriers for hazardous waste landfills with
<inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> of &lt; 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> (US EPA, 1989).</p>
      <p>Aquitards volumetrically constitute the bulk of sedimentary geologic
deposits (Potter et al., 1980), and are typically assumed saturated if
located below a water table (Cherry et al., 2004). Water-saturated <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> and
diffusion coefficients for aquitards are therefore not applicable to
variably saturated or non-water-saturated low-permeability strata. Research
is lacking for semi-consolidated clayey aquitards (e.g. alluvial, colluvial,
and aeolian deposits), compared with aquitard research on glacial tills
(Grisak and Cherry, 1975), claystones (Smith et al., 2013; Jougnot et al.,
2010), and shale (Neuzil, 1994; Josh et al., 2012). Clay-bearing sediments
formed via alluvial, colluvial, and aeolian processes frequently occur in the
geosphere. For example clayey-silt aquitards account for 60 % of the
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m thick alluvial sediment sequences in the Mooki
catchment of Australia's Murray–Darling Basin (Farley, 2011). The relative
lack of information on the dominant type of sedimentary deposit represents a
key gap in the current theoretical understanding of clay mineralogy and
geochemistry.</p>
      <p>Aquitard research on alluvial sediments is important because recharge by
slow seepage provides essential groundwater supplies for municipal water
supply and crop irrigation in relatively dry inland settings (Acworth and
Timms, 2009). Increased effective stress associated with aquifer drawdown
for irrigation, may release saline water stored within shallow aquitards
with implications for the continuation of high yields of fresh water.
Characterising the effects of variable chemical composition of formation
water on the hydraulic conductivity of such sediments is therefore essential
to determine the long-term changes to fresh water.</p>
      <p>As an example, revised calculation of hydraulic parameters based on water
level recovery from a bore pump test in glacial till (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>K</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>11</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
has been required to improve the fit with the data emerging over
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 years (van der Kamp, 2011). Various field and
laboratory methods are available to directly measure or indirectly calculate
hydraulic conductivity along the horizontal (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>h</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> or vertical
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and saturated and unsaturated or multi-phase flow (e.g. liquid and
gas). Obtaining realistic measurements of groundwater flow and solute
transport within aquitards is by definition a slow process, requiring
relatively time-consuming and expensive field and/or laboratory studies.</p>
      <p>Methods for measuring the in situ permeability of clay formations include:
slug tests (piezometer tests, falling-head tests), aquifer pumping tests
with piezometers in the aquitard, aquifer pumping tests with observation
wells in the aquifer only, measurement of seasonal fluctuations of
pore pressure, measurement of pore pressure changes and settlement due to
surface loading, and numerical analysis of local and regional groundwater
flow (van der Kamp, 2001). Neuman and Witherspoon (1968) developed generic
analytical solutions for drawdown within an aquiclude, in which vertical
flow occurs, but is sufficiently small to have no effect on water levels
within an overlying or underlying aquifer. Type curves were presented for
analytical solutions applying to an infinitely thick and a finite thickness
aquiclude. In contrast, analysis of a leaky aquitard–aquifer system was
presented by Neuman and Witherspoon (1972). The ratio method compares
drawdown within an aquitard with drawdown in an underlying aquifer from
which extraction was occurring. Drawdown data are then used to calculate
hydraulic diffusion of pressure transients, and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, assuming a uniform,
homogeneous aquitard.</p>
      <p>Deconvolution of the pressure response to depth through an aquitard can be
analysed with a Fourier transform or harmonic analysis (Boldt-Leppin and
Hendry, 2003). The hydraulic diffusivity (hydraulic conductivity divided by
specific storage) is expressed analytically, either based on the amplitude
or phase shift of harmonic signals, assuming that the thickness of the
aquitard is semi-infinite. Jiang et al. (2013) further developed the
harmonic analysis method for finite aquitards in a multi-layer system in the
instance of water level monitoring within aquifers above and below an
aquitard, but not monitoring within the aquitard. Coherence analysis of
water level fluctuations in bounding aquifers from indeterminate stresses
(e.g. pumping, recharge, rainfall or earthquake) was used to derive <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
for deep rock aquitards on the basis of interpolated groundwater level data
measured at irregular intervals of at least 10 days over a duration of
several decades.</p>
      <p>A more direct method of determining in situ hydraulic parameters is possible
using fully grouted vibrating wire transducers and high-frequency data
recording within deep formations, as recently demonstrated by Smith et al. (2013)
for a bedrock claystone at up to 325 m below ground (BG). Pore
pressure and barometric pressure were recorded at 30 min intervals and
analysed, assuming no leakage in the grouted system, for barometric
response, earth tides, and rainfall events. Core samples from the same drill
holes were vacuum sealed on site for consolidation testing and triaxial
permeameter testing. The in situ compressibility and specific storage
calculated from barometric pressure responses were as much as an order of
magnitude smaller than laboratory results.</p>
      <p>A variety of laboratory testing techniques for low-<inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> samples are also
available; however, the reliability of results may depend on factors such as
the preparation and size of core samples, configuration of equipment and
uncertainties of measurement, the influent water that is used and the
stresses that are applied relative to in situ values, and whether
permeability is directly measured from steady-state flow, or subject to
additional parameters and assumptions with alternative flow regimes.
Laboratory testing of clayey-silt cores by standard rigid and flexible wall
column techniques requires 1–2 weeks, compared with &lt; 1 week for
centrifuge permeameter (CP) methods in unsaturated samples (ASTM, 2010).
Constant or falling-head tests in rigid-walled column permeameters at
natural gravity require a large water pressure gradient and/or long testing
times for low-permeability samples. They are subject to potential leakage,
and may not replicate in situ confining stresses. Column testing of core
samples is possible for some test conditions in triaxial cells on both
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>h</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, for example those used in geotechnical and petroleum
studies (Wright et al., 2002). However, standard practice for testing
ultra-low-permeability cores (e.g. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
typically consists of applying a confining pressure to a
watertight system and measuring small transient pore pressures with high-resolution pressure transducers (API, 1998).</p>

<table-wrap id="Ch1.T1"><caption><p>Specifications and performance details of the Broadbent
GT-18 centrifuge permeameter (CP) system as constructed by Broadbent (2011).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Dimensions/mass</oasis:entry>  
         <oasis:entry colname="col2"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Diameter (lower rotary stack)</oasis:entry>  
         <oasis:entry colname="col2">200.0 cm</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Radius to top sample chamber</oasis:entry>  
         <oasis:entry colname="col2">45.0 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Radius to base sample chamber</oasis:entry>  
         <oasis:entry colname="col2">65.0 cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Total mass</oasis:entry>  
         <oasis:entry colname="col2">4800 kg</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Performance</oasis:entry>  
         <oasis:entry colname="col2"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Rotational speed</oasis:entry>  
         <oasis:entry colname="col2">10–875 rpm</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum sample length</oasis:entry>  
         <oasis:entry colname="col2">20.0 cm</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum sample diameter</oasis:entry>  
         <oasis:entry colname="col2">10.0 cm</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum sample mass</oasis:entry>  
         <oasis:entry colname="col2">4.7 kg</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum sample density</oasis:entry>  
         <oasis:entry colname="col2">SG 3.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum effluent reservoir capacity</oasis:entry>  
         <oasis:entry colname="col2">1000 mL</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Maximum payload</oasis:entry>  
         <oasis:entry colname="col2">18.11 kg</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>a</mml:mtext></mml:msup></mml:math></inline-formula> 385 G at 875 rpm; <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mtext>b</mml:mtext></mml:msup></mml:math></inline-formula> 556 G at 875 rpm.</p></table-wrap-foot></table-wrap>

      <p>Geotechnical centrifuges are used to subject porous samples to high
artificial gravities in order to characterise their hydraulic and/or
consolidation properties (Conca and Wright, 1998; Nakajima and Stadler,
2006; Znidarčić et al., 2011), and for physical modelling as part of
geotechnical design (Garnier et al., 2007; Parks et al., 2012). Accelerated
gravity acts on both the solid particles and fluids within the porous sample
without use of a large fluid pressure gradient to drive flow. The technique
can be applied to investigate slow hydrogeological processes over shorter
timescales; i.e. flow through low-permeability layers that would take
several years under in situ conditions can be reproduced in a geotechnical
centrifuge within hours or days, depending on test conditions.</p>
      <p>A CP, or a column mounted on a centrifuge strong box, is commonly used for
hydraulic characterisation of porous media. Accelerated gravity achieves a
steady-state equilibrium for fluid flow through the CP within hours or days
of instrument operation (for an unsaturated sample), while simultaneously
applying stresses to the solid matrix. A permeameter column, mounted on a
geotechnical centrifuge is rotated sufficiently fast to accelerate flow and
approximate in situ total stresses, while the target <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level is designed to
ensure that the matrix is not consolidated and chemical equilibrium is
maintained. Steady-state flow can provide more reasonable <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> results than
transient flow techniques. Although transient tests are even more rapid than
steady-state tests in the centrifuge, more complex instrumentation is
required to ensure reliable results (Zornberg and McCartney, 2010).</p>
      <p>The geotechnical centrifuge system described in this paper is moderately
sized and relatively economical to operate, whilst able to perform both
unsaturated and saturated testing of porous media with real-time measurement
of various parameters during flight (Table 1). These attributes mean that CP
testing of relatively large diameter cores (up to 100 mm diameter) in this
facility is comparable in cost to testing of small cores (38 mm diameter)
using alternative methods such as He-gas permeation. The system has been
successfully used for testing low-permeability rock cores (Bouzalakos et al.,
2013; Jiang et al., 2015). To date, there were no other direct <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> measurements on these deep
shales available (APLNG, 2013) and alternative laboratory methods were not
successful in obtaining a <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> value from these very low-<inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> rocks
(Bouzalakos et al., 2013).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Location of study sites in eastern Australia, state of New South Wales (NSW). The
Norman's Road (NR), Breeza Farm (BF) and Cattle Lane (CL) sites are shown
within the Namoi catchment.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://hess.copernicus.org/articles/20/39/2016/hess-20-39-2016-f01.jpg"/>

      </fig>

      <p>This paper demonstrates novel CP techniques and equipment that have been
specifically developed for characterising semi-consolidated clayey-silt
cores. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results from CP methods are compared with standard 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column
methods and in situ measurements of permeability, based on harmonic analysis
of the high-frequency pore pressure propagation through a thick clayey
sequence. The variability, confidence limits and overall reliability of the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results to constrain assessments of regional-scale vertical
connectivity are considered in the context of sampling and flow and stress
conditions within the CP. This paper provides reasonable <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for at least
one local clayey-silt sequence and strategies for future testing that are
important contributions towards evaluating flow connectivity at a range of
scales. These <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results can be complimented with hydrogeological
data such as pore pressure and tracer data to better constrain numerical
flow models.</p>
</sec>
<sec id="Ch1.S2">
  <title>Geology of study sites</title>
      <p>Semi-consolidated sediment cores were obtained from three sites in the
Australia Murray–Darling Basin, in the Upper Mooki subcatchment of the Namoi
catchment (Fig. 1). Groundwater is extracted in this area for irrigation and
town water supplies, with drawdowns of more than 10 m over 30 years. It can
take years or decades for changing pore pressures to be transmitted through
these mixed sediments that are heterogeneous, even though the effects of
groundwater extraction were assumed to occur rapidly within homogeneous,
high-permeability sediments (Kelly et al., 2013). The alluvial sedimentary
geology of the valley features significant heterogeneity but a general
fining upwards that reflects climatic drivers of sedimentation (Kelly et
al., 2014). This study found that the architectural features and the net
(sand and gravel) to gross (total volume) line plot that identifies low-permeability clays and silts of the valley-filling sequence are best
represented by a distributive fluvial system. In this type of fluvial
system, the avulsion frequency increases at a slower rate than the
aggradation rate.</p>
      <p>Core drilling was completed at three research sites (Fig. 1) including
Cattle Lane (CL), located south of the town of Caroona (31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> S,
150<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>28<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E), the Breeza farm (BF) operated by the New South Wales (NSW) Department of Primary Industries, south-east of Gunnedah (31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>32<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> S,
150<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>15<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E), and Norman's Road (NR), east-southeast of
Gunnedah (31<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>48<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> S, 150<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>26<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>7<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E).</p>
      <p>Clayey-silt sediments at the Cattle Lane site are approximately 30 m thick
(Timms and Acworth, 2005) and extend throughout the valley (Wiesner and
Acworth, 1999), as shown by numerous CCPT (conductivity cone penetrometer)
profiles. The porewater salinity profile at the site, increasing from 10 to 30 m
depth through the clay, is consistent with a diffusion dominated transport
over thousands of years (Timms and Acworth, 2006). The saturated zone
fluctuates in response to rainfall events between the ground surface and
approximately 2 m depth, while water levels in the confined gravel aquifer at
&gt; 50 m depth display a delayed and dampened response to the same
rainfall events. There is no groundwater extraction for irrigation from this
aquifer in the vicinity of the site, and the valley has been artificially
drained to prevent ponding of surface water and soil salinisation. Detailed
geological studies and particle dating have identified that the clayey silt
in the top <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 m at this site accumulated gradually at 0.2–0.3 mm year<inline-formula><mml:math 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>
by weathering of alkali basalts (Acworth et al., 2015). Flow
testing of 100 mm diameter cores from the CL site, reported by Crane et al. (2015)
has revealed evidence for dual porosity flow when a hydraulic gradient
is imposed on the low-permeability sediments, with further work in progress
to identify the nature and significance of these potential flow paths.</p>
      <p>Sediments at the Breeza farm and Norman's Road site are relatively
heterogeneous, with mixed sandy, clayey-sand, and clayey-silt alluvium
overlying a semi-confined aquifer. The saturated zone is approximately 18–20 m
below surface and extraction for flood irrigation of crops causes large
fluctuations in groundwater levels in the confined aquifers at &gt; 50 m depth.
Hydrogeological and hydro-geochemical evidence indicate a leaky
aquifer–aquitard system, with the variability in groundwater level responses
controlled by a fining upward alluvial sequence (Acworth and Timms, 2009).
At the Norman's Road site, highly saline porewater (15 mS cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in the
clayey silt in proximity to the surface (&lt; 20 m) appears to have
leached into the underlying aquifer, causing a significant increase in
salinity of the aquifer (Badenhop and Timms, 2012).</p>
</sec>
<sec id="Ch1.S3">
  <title>Study site characterisation and sampling</title>
<sec id="Ch1.S3.SS1">
  <title>Drilling and core sampling</title>
      <p>Equipment and procedures for coring were compliant with ASTM D1587-08 (2008a)
to obtain samples that were as undisturbed as possible. A rotary drilling
rig equipped with Triefus triple core barrels, lined with seamless clear
PET, was used in push coring mode. Local creek water was used as a drilling
fluid and casing was used to stabilise the hole behind the push core barrel
such that drilling fluid additives were not required. The holes were
therefore fully cased to the maximum depth of push core drilling at up to 40 m BG.</p>
      <p>The non-rotating core barrel was forced into the formation, whilst a rotating
device on the outside of the tube removes the cuttings as the barrel was
advanced. The cutting edge of the non-rotating sample tube projects several
millimetres beyond the rotary cutters. The thin-walled core barrel complied
with the standard for undisturbed sampling, with an area ratio of less than
25 % for an open-drive sampler. The area ratio of 16 % was based on a
core barrel design with an external diameter of 110 mm and internal diameter
of 101 mm (C size). The 1.5 m length core barrel was a composite open
sampling system with a core nose screwed onto the base with a bevelled end to
cut the core as the barrel pushed into the formation. After the core was
extracted from the ground, an air supply was connected to the top of the core
barrel to slide the core out of the barrel whilst it remained in the clear
PET liner without rotation, distortion, or compression.</p>
      <p>The cores contained within PET liners were transferred directly from the core
barrels to a cool room on site, and thence to a laboratory cool room,
reducing the potential for moisture loss. Semi-consolidated clay cores were
selected from below the saturated zone for CP tests, at depths up to 40 m BG.
Sediment core samples of lengths between 50 and 100 mm were prepared for CP
testing. The moisture content and bulk density of cores was measured using
methods adapted from ASTM D7263-09 (2009). These measurements were completed
immediately on the drill site.</p>
      <p>The preferred method for preservation of drill core was double plastic
bagging of sections of core within their PET liners using a food grade
plastic sealing system (with brief application of a vacuum to extract air
from the plastic bag). Alternatively, core within PET core barrel liners
were trimmed of air or fluid filled excess liner immediately after drilling,
and then
sealed with plastic tape. All cores were stored at 4 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in a
portable cool room on the drill site and then at the laboratory. Sections of
cores, particularly at the nose end, that appeared to be damaged or
disturbed were excluded from permeability or bulk density testing.
Additional steps that were taken in the laboratory to ensure core testing
was representative of in situ conditions are described in Sect. 4.1.</p>
      <p>After coring, the holes were completed as monitoring piezometers and the
casing was jacked out. The piezometers were constructed of screwed sections
of 50 mm PVC casing with O-ring seals, with a 1.5 m machine slotted screen
packed with pea-sized washed gravel. The annulus was then filled with a
bentonite seal, backfilled to the surface and completed with a steel casing
monument and cement monument pad.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Groundwater sampling for influent</title>
      <p>Fluid for <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> testing (influent) should be taken from the formation at the same
depth as the core. Formation water can be synthesised if it is not possible
to sample directly from aquitard strata, by estimating the ionic strength,
Na <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Ca ratio, and pH. In this study, groundwater from piezometers at a similar
depth to the core was obtained using standard groundwater quality sampling
techniques (Sundaram et al., 2009). A 240 V electric submersible pump
(GRUNDFOS MP1) and a surface flow cell were used to obtain representative
samples after purging stagnant water to achieve constant field measurements
of electrical conductivity and other parameters (Acworth et al., 2015 and
unpublished data).</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Centrifuge permeameter methods and calculations</title>
<sec id="Ch1.S4.SS1">
  <title>Preparation of cores</title>
      <p>To ensure that cores were tested under saturated realistic conditions, drill
cores were adequately preserved, stored, prepared, and set on a vacuum plate
prior to centrifuge testing. Cores from PET drill core liners were trimmed
and inserted into an acrylic liner for the CP using a core extruder. The
custom made core extruder had five precision cutting blades driven by a
motorised piston suitable for a 100 mm diameter core. Cores for CP testing
in this study were 100 mm diameter C size core, with a length of 50–100 mm.
A close fit between the clay core and the liner was achieved using this
extruder.</p>
      <p>A vacuum plate system for core samples was designed to ensure fully
saturated cores, remove air at the base of the core, and ensure an effective
seal between the CP liner prior to testing at accelerated gravity. The
vacuum plate device was designed to fit the CP liners containing the cores,
drawing ponded influent from the top to the base of the cores using a
standard laboratory vacuum pump at 100 kPa of negative pressure. After 12–48 h,
or upon effluent flow from the base, the acrylic liners containing
the prepared cores were then transferred directly to the CP module without
disturbing the sample.</p>
      <p>Furthermore, the moisture content and degree of saturation was monitored by
measuring weight change of the permeameters during testing, and direct
moisture tests of samples before and after CP testing. There was negligible
difference observed between the moisture content of the core tests and in
situ conditions, and the results were not associated with the time between
sampling and testing of the core. Moisture content was not affected by the
use of a vacuum to expel air from sealing bags or from the top or base of the
cores fitted into the CP liners.</p>
      <p>A self-seal was observed forming from material swelling at the interface with
the liner within minutes of introducing the influent solution. Prior to the
self-seal development, leakage along the liner interface was identified by a
flow rate of several orders of magnitude higher than the steady-state flow
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> value. The swelling that occurred to self-seal the core was estimated
at less than 0.02 % of the cross sectional area of the core by comparing
flow rates through the CP drainage hole (described in Sect. S3 in the Supplement). It was
calculated that this area of swelling was sufficient to seal an annulus
aperture of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.01 mm between the clay core and the acrylic
liner.</p>
      <p>Given the relatively shallow depth of these cores, and the semi-consolidated
status, the maximum <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level in the centrifuge was limited to prevent
structural changes in the core matrix. To minimise changes in porosity of
the core during testing, the <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level and the weight of ponded fluid on the
cores were therefore designed to ensure that total stress was less than
estimated in situ stress at the depth from which the core was drilled.</p>
      <p>Blind permeability tests were carried out by an independent laboratory, which
adapted a constant/falling-head method (AS 1289 6.7.3/5.1.1, 1991) with methods
from Head (1988). For these 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column tests, a sample diameter of 45.1 mm
and length 61.83 mm was used, and a confining pressure of 150 kPa and back
pressure of 50 kPa was applied, providing a vertical uniaxial stress of 100 kPa.
The test time was up to 100 h. These standard 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column tests used
deionised water as the influent.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Centrifuge permeameter testing</title>
      <p>The Broadbent CP module and some unique systems developed as part of this
study are described in this section, with further details in Sects. S1
and S3. A conceptual plan of a CP is shown in Fig. 2. The CP contains a
cylindrical clay sample with length <inline-formula><mml:math display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> and diameter <inline-formula><mml:math display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>, and is spinning in a
centrifuge around a central axis at an angular velocity <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula>. The
permeameter has an inlet face at a radius <inline-formula><mml:math display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>, and a drainage plate at a radius
of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. The co-ordinate <inline-formula><mml:math display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> is defined as positive from the base of the
sample towards the central axis of rotation, consistent with definitions in
1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column testing (McCartney and Zornberg, 2010). This frame of reference is
in an opposite direction to that defined by Nimmo and Mello (1991), but is
convenient for interpretation and comparison of column flow tests.</p>
      <p>Influent was fed from burettes located next to the centrifuge via a pair of
custom designed low voltage peristaltic pumps mounted either on the
centrifuge beam, or outside the centrifuge and through the low flow rotary
union. In this study, the outlet face was a free drainage boundary, and is
discussed further in Sects. S2 and S3.</p>
      <p>The <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> value is based on flow rate, flow area, radius, and revolutions per
minute (RPM), although the method was adapted from a unsaturated/saturated flow apparatus (UFA) centrifuge to this
CP system (Sect. 4.3). Importantly, both testing systems are for steady-state flow with free drainage due to zero pressure at the base of the core.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Cross sectional diagram of a core sample subjected to centrifugal
force, with a free drainage boundary condition at the base of the core.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://hess.copernicus.org/articles/20/39/2016/hess-20-39-2016-f02.jpg"/>

        </fig>

      <p>The mass of two core samples were balanced to the nearest 100 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> and tested
simultaneously at either end of the centrifuge beam. The CP was operated at
10 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> for 30 min, and if no rapid flows due to leakage were detected, this
was gradually increased to 20, 40 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>, and so on, until the maximum total stress
on the core approached the estimated in situ stresses of the material at the
given depth in the formation. The upper permissible <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level was designed to
be less than the estimated in situ stress from the depth at which the core
was obtained. It was also important to ensure that effective stress (Sect. 4.4)
was acceptable, as variable pore fluid pressures during testing could
cause consolidation of the core matrix. Influent volume was measured using
both a calibrated continuous time record of pump rotations, and manual
burette measurements, and effluent volumes were measured by weight. steady-state flow was defined as <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> % change in discharge over subsequent
measurements in time, provided that influent flow rate was within <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> %
of the effluent flow rate. Both of these conditions were required for
the testing to be considered as a steady-state flow condition. This protocol
provided additional quantitative measures to the ASTM D7664 (2010), which states
that steady-state conditions have been attained “if the outflow is
approximately equal to the inflow”. Section S4 discusses the uncertainty
of the measured data in more detail.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <?xmltex \opttitle{$K_{\text{v}}$ calculations and statistical analysis}?><title><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> calculations and statistical analysis</title>
      <p>Hydraulic conductivity calculations for the CP in this study were based on
ASTM D6527 (2008b) and ASTM D7664 (2010) with a form of Darcy's
Law that incorporates the additional driving force within a centrifuge. The
gradient in the centrifuge elevation potential (Nimmo and Mello, 1991), or
the gradient in centrifuge “elevation head” (Zornberg and McCartney, 2010)
due to the centrifuge inertial force driving was defined as flow away from
the centre of rotation (or in the opposite direction to <inline-formula><mml:math display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> in Fig. 2). The
<inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level was defined at the mid-point of the core. A ponded influent above the
top of the core prevented loss of saturation along the core (Nimmo and
Mello, 1991). The centrifuge inertial (elevation) head gradient and
hydraulic head gradient (stationary centrifuge at 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>) were calculated at
0.005 m increments through the core.</p>
      <p>Statistical analysis of the data followed a basic small-sampling theory using
the Student's <inline-formula><mml:math display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> distribution, following the approach of Gill et al. (2005)
and extending the approach of Timms and Anderson (2015) for estimating
sample numbers required for CP testing. Upper and lower confidence intervals
(UCI, LCI) were calculated from the mean <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msup><mml:mi>n</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>n</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the sample standard deviation and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>
is the value of the Student's <inline-formula><mml:math display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> distribution at the selected confidence limits
(CL) of 90 and 99 %. The confidence intervals were calculated for
the increasing number (<inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>) of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data from each core.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <title>Fluid pressure and total stress calculations</title>
      <p>Fluid pressures and hydraulic gradient through the centrifuge core were
determined following the approach of Nimmo and Mello (1991). The total fluid
pressure <inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> (kPa) was calculated in Eq. (1)

                <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>w</mml:mi></mml:msub><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:munderover><mml:mi>r</mml:mi><mml:msup><mml:mi mathvariant="italic">ω</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mtext>d</mml:mtext><mml:mi>r</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          assuming a fluid density <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>w</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 1.0 g cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and where <inline-formula><mml:math display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> is the
radius of rotation (cm), and <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">ω</mml:mi></mml:math></inline-formula> is the angular velocity (s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.
The total stress <inline-formula><mml:math display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> (kPa) was determined through the centrifuge core,
following Eq. (2)

                <disp-formula id="Ch1.E2" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>s</mml:mi></mml:msub><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow></mml:munderover><mml:mi>r</mml:mi><mml:msup><mml:mi mathvariant="italic">ω</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mtext>d</mml:mtext><mml:mi>r</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          assuming core bulk density <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 1.9 g cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The total
stress and fluid pressure were calculated at 0.005 m increments through the
core. The effective stress was then calculated as the difference between
total stress and fluid pressure. An increase in effective stress associated
with decreased fluid pressures near the base of the free draining core may
cause consolidation of the core matrix near the boundary.</p>
      <p>The total stress applied to the core, relative to stress, may affect the
porosity of the core sample, depending on the stress history. In situ stress
of the cores (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at the sampling depth below ground (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was calculated
using Eq. (3)
            <disp-formula id="Ch1.E3" content-type="numbered"><mml:math display="block"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi>s</mml:mi></mml:msub><mml:mi>D</mml:mi><mml:mi>g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Centrifuge permeameter testing at low stresses of a semi-consolidated
clayey-silt core sample (CL 26.1 m depth; Test 39-1) showing variation of
<inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and influent and effluent flow rate during the test (after
Timms et al., 2014).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://hess.copernicus.org/articles/20/39/2016/hess-20-39-2016-f03.jpg"/>

        </fig>

      <p>It was assumed that the overlaying formations were fully saturated and of a
similar bulk density to the supplied core samples.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Core descriptions and index properties.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Core ID</oasis:entry>  
         <oasis:entry colname="col2">BF C2.8</oasis:entry>  
         <oasis:entry colname="col3">BF C2.16 and C2.15</oasis:entry>  
         <oasis:entry colname="col4">CL C4.8a</oasis:entry>  
         <oasis:entry colname="col5">CL C4.20a</oasis:entry>  
         <oasis:entry colname="col6">NR <?xmltex \hack{\hfill\break}?>C3.23</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Depth (m BG)</oasis:entry>  
         <oasis:entry colname="col2">11.00–11.35/</oasis:entry>  
         <oasis:entry colname="col3">22.50–22.90/</oasis:entry>  
         <oasis:entry colname="col4">11.27–11.47</oasis:entry>  
         <oasis:entry colname="col5">28.50–28.70</oasis:entry>  
         <oasis:entry colname="col6">33.00–33.35/</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">11.35–11.68</oasis:entry>  
         <oasis:entry colname="col3">21.93–22.18</oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">33.35–33.68</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Description</oasis:entry>  
         <oasis:entry colname="col2">Sandy clay;</oasis:entry>  
         <oasis:entry colname="col3">Clayey silt;</oasis:entry>  
         <oasis:entry colname="col4">Silty clay;</oasis:entry>  
         <oasis:entry colname="col5">Silty clay;</oasis:entry>  
         <oasis:entry colname="col6">Clayey silt;</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">brown</oasis:entry>  
         <oasis:entry colname="col3">brown</oasis:entry>  
         <oasis:entry colname="col4">brown</oasis:entry>  
         <oasis:entry colname="col5">pale brown</oasis:entry>  
         <oasis:entry colname="col6">brown</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Moisture (% wt.)</oasis:entry>  
         <oasis:entry colname="col2">24.7</oasis:entry>  
         <oasis:entry colname="col3">28.2</oasis:entry>  
         <oasis:entry colname="col4">45.7</oasis:entry>  
         <oasis:entry colname="col5">36.4</oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mn>50</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (mm)</oasis:entry>  
         <oasis:entry colname="col2">0.025</oasis:entry>  
         <oasis:entry colname="col3">0.0068</oasis:entry>  
         <oasis:entry colname="col4">–</oasis:entry>  
         <oasis:entry colname="col5">–</oasis:entry>  
         <oasis:entry colname="col6">&lt; 0.0013</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Bulk wet density (g cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">1.88</oasis:entry>  
         <oasis:entry colname="col3">1.81</oasis:entry>  
         <oasis:entry colname="col4">1.71</oasis:entry>  
         <oasis:entry colname="col5">1.77</oasis:entry>  
         <oasis:entry colname="col6">1.72</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Particle density (g cm<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">2.52</oasis:entry>  
         <oasis:entry colname="col3">2.47</oasis:entry>  
         <oasis:entry colname="col4">2.58</oasis:entry>  
         <oasis:entry colname="col5">2.50</oasis:entry>  
         <oasis:entry colname="col6">2.58</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Initial void ratio</oasis:entry>  
         <oasis:entry colname="col2">0.67</oasis:entry>  
         <oasis:entry colname="col3">0.75</oasis:entry>  
         <oasis:entry colname="col4">1.20</oasis:entry>  
         <oasis:entry colname="col5">0.93</oasis:entry>  
         <oasis:entry colname="col6">0.89</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Initial degree of saturation (%)</oasis:entry>  
         <oasis:entry colname="col2">93</oasis:entry>  
         <oasis:entry colname="col3">95</oasis:entry>  
         <oasis:entry colname="col4">96</oasis:entry>  
         <oasis:entry colname="col5">99</oasis:entry>  
         <oasis:entry colname="col6">74</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results from CP tests indicating <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level maximum and
testing time. The influent source column identifies the site (NR, CL, BF)
and depth (P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>20</mml:mn></mml:msub></mml:math></inline-formula> is piezometer screen at 20 m depth) of groundwater sampling.
Calculations were based on Eq. (3) for in situ stress.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <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:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Site</oasis:entry>  
         <oasis:entry colname="col2">Depth</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level</oasis:entry>  
         <oasis:entry colname="col5">Estimated in situ</oasis:entry>  
         <oasis:entry colname="col6">Testing</oasis:entry>  
         <oasis:entry colname="col7">Influent</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(m BG)</oasis:entry>  
         <oasis:entry colname="col3">(m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">maximum</oasis:entry>  
         <oasis:entry colname="col5">stress (kPa)</oasis:entry>  
         <oasis:entry colname="col6">time (h)</oasis:entry>  
         <oasis:entry colname="col7">source</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">NR</oasis:entry>  
         <oasis:entry colname="col2">33.8</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">615</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 144</oasis:entry>  
         <oasis:entry colname="col7">NR P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>30</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NR</oasis:entry>  
         <oasis:entry colname="col2">33.90</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">615</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 144</oasis:entry>  
         <oasis:entry colname="col7">NR P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>30</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">NR</oasis:entry>  
         <oasis:entry colname="col2">34.68</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>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:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">646</oasis:entry>  
         <oasis:entry colname="col6">2.6</oasis:entry>  
         <oasis:entry colname="col7">NR P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>30</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">11.75</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">219</oasis:entry>  
         <oasis:entry colname="col6">24</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>15</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">14.00</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">261</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>15</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">19.25</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">359</oasis:entry>  
         <oasis:entry colname="col6">24</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>20</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">21.70</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>5.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">404</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>20</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">26.01</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">485</oasis:entry>  
         <oasis:entry colname="col6">21</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">26.10</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">486</oasis:entry>  
         <oasis:entry colname="col6">21</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">28.33</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">526</oasis:entry>  
         <oasis:entry colname="col6">24</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">28.52</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.7</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">80</oasis:entry>  
         <oasis:entry colname="col5">532</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>25</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">31.36</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">40</oasis:entry>  
         <oasis:entry colname="col5">585</oasis:entry>  
         <oasis:entry colname="col6">24</oasis:entry>  
         <oasis:entry colname="col7">CL P<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">24.07</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>5.9</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">40</oasis:entry>  
         <oasis:entry colname="col5">449</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>25</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">24.14</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">40</oasis:entry>  
         <oasis:entry colname="col5">450</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>25</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">31.40</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">585</oasis:entry>  
         <oasis:entry colname="col6">11</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">36.46</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>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:entry colname="col4">10</oasis:entry>  
         <oasis:entry colname="col5">680</oasis:entry>  
         <oasis:entry colname="col6">2.5</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">40.00</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">746</oasis:entry>  
         <oasis:entry colname="col6">23</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">40.10</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">746</oasis:entry>  
         <oasis:entry colname="col6">23</oasis:entry>  
         <oasis:entry colname="col7">BF CP<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn>40</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S5">
  <title>Results and discussion</title>
<sec id="Ch1.S5.SS1">
  <?xmltex \opttitle{Core properties and $K_{\text{v}}$ results from CP testing}?><title>Core properties and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results from CP testing</title>
      <p>Index properties for five representative cores are provided in Table 2. The
cores were typically silty clay (where the clay–silt size boundary is defined
at 0.002 mm), except for one sandy clay core. The large proportion of silt
relative to clay is an important characteristic of this formation, with clay
mineralogy dominated by smectite (Timms and Acworth, 2005; Acworth and Timms,
2009).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><caption><p>Geometric mean, standard deviation (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and confidence
limits (CL %) analysis for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data using the CP method to test core
from the clayey-silt formation at the CL, BF, and NR sites.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry rowsep="1" namest="col6" nameend="col7" align="center"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> confidence intervals (m s<inline-formula><mml:math 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>) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Site</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> geometric mean (m s<inline-formula><mml:math 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>)</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>s</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mi>log⁡</mml:mi><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">CL %</oasis:entry>  
         <oasis:entry colname="col6">lower bound</oasis:entry>  
         <oasis:entry colname="col7">upper bound</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">5</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.21</oasis:entry>  
         <oasis:entry colname="col5">99</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">CL</oasis:entry>  
         <oasis:entry colname="col2">9</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.14</oasis:entry>  
         <oasis:entry colname="col5">99</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BF</oasis:entry>  
         <oasis:entry colname="col2">6</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.19</oasis:entry>  
         <oasis:entry colname="col5">99</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>6.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">NR</oasis:entry>  
         <oasis:entry colname="col2">3</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.2</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0.34</oasis:entry>  
         <oasis:entry colname="col5">99</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>8.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5">90</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>Moisture content varied from 24.7 to 36.4 % by weight, and was consistent
with site measured data on the core (Sect. S5), although not all the
cores were fully saturated as received by the external laboratory. Bulk wet
density varied from 1.71 to 1.88 g cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and particle density from 2.47
to 2.58 g cm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of cores tested in the CP module (Table 3)
varied from <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>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> m s<inline-formula><mml:math 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> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>18</mml:mn></mml:mrow></mml:math></inline-formula>). Accelerations up to 100 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> were applied during CP testing of
semi-consolidated sediment cores and were more typically limited to
30–40 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>. Figure 3 shows the measured influent and effluent rates and the
calculated <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values during a typical CP test as the <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level was gradually
increased. Steady-state flow (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math></inline-formula> % change over time with influent
rate equal to effluent rate) was achieved at <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 h (Fig. 3).
However, a lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> value that was observed overnight (&gt; 12 h
interval between samples) than was observed during the day
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 h intervals between samples). The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values over
shorter time periods, with minimal evaporative losses, were considered to be
more reliable. Further experimentation and numerical modelling is required
to adequately explain this anomalous data, which may be associated with
evaporative losses over longer time periods of flow measurement or other
transient processes within the system.</p>
      <p>Anomalous flow via preferential pathways could be readily identified by a
flow rate of several orders of magnitude greater than otherwise observed.
Anomalous flow was often observed along the interface of the cores and the
liner during the early minutes of a test before sealing occurred and steady-state conditions were established. On one occasion a preferential flow path
developed during the test, which caused very fast flow at accelerated gravity
that was easily detected. A test failure like this could be readily
identified and excluded from further evaluation.</p>
      <p>A small uncertainty in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results for the CL site was calculated at a
confidence limit of 99 % using the methods described in Sect. 4.3. By
increasing the number of samples, the confidence bounds for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> were
narrowed from a range of <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>) to a range of <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>). Increasing the number
of samples from five to nine decreased the standard deviation, although
a similar geometric mean occurred with the increased sample number (Table 4).
However, there was less certainty at two other core sites (BF and NR) due to
limited and more variable <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data. At the BF site the 99 % confidence
interval had relatively wide <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> bounds for <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>, while at NR site, a
confidence interval of 90 % results in similarly wide <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> bounds for <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>. However, such a small number of samples is not considered sufficient
for statistical analysis. This evaluation of the results highlights the
relative <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> variability and small sample set for the BF and NR sites,
and the need for further testing, particularly at the NR site. This issue
will be expanded in the following discussion.</p>
</sec>
<sec id="Ch1.S5.SS2">
  <title>Pore fluid pressure and stress conditions at accelerated
gravity</title>
      <p>How realistic the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> measured by CP testing is of in situ conditions
depends in part on the magnitude of stress and any structural changes that
occur within the core matrix. Section S2 provides background on the
definition and significance of hydrostatic pore pressure, centrifuge
inertial (elevation) head, and gradients driving fluid flow. Section S2
also discusses the possibility that <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> values reported in this study could be
biased on the high side, considering total stress at the base of the core
under steady-state conditions.</p>
      <p>During centrifuge testing effective stress is maximum at the base of the
free draining core, where fluid pressure is zero, and thus effective stress
is equal to total stress under hydrostatic conditions (no flow). In both
testing methods in this study, the total stress was less than estimated in
situ stress; however, the stress history of the core sample and effective
stress dynamics were uncertain. It appears that the stresses during these
tests were likely within an acceptable range to minimise structural changes
including swelling and consolidation. There was no evidence of significant
changes in core length due to consolidation of the samples during spot
checks of core length with a digital calliper. However, further attention on
these processes, including instrumentation to measure fluid pressures and
core matrix changes during testing is required in future studies. A separate
geotechnical study of these semi-consolidated sediments, including oedometer
testing is in progress to better quantify the relationship between stress
and permeability in these semi-consolidated materials. In future studies of
semi-consolidated materials, measurement of consolidation state (over
consolidation ratio) and pre-consolidation stress is recommended prior to
centrifuge testing to ensure that an appropriate centrifuge stress is
applied.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Vertical hydraulic conductivity (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> measurements by centrifuge
permeameter and column permeameter compared with in situ <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> derived from
pore pressure data at 6 h intervals over 4 years interpreted with
harmonic analysis (after Timms and Acworth, 2005) for the Cattle Lane site
with massive clayey-silt from the surface to 35 m depth.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://hess.copernicus.org/articles/20/39/2016/hess-20-39-2016-f04.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S5.SS3">
  <?xmltex \opttitle{Comparison of in situ $K_{\text{v}}$ and column testing methods at
the CL site}?><title>Comparison of in situ <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and column testing methods at
the CL site</title>
      <p>A comparison of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> from in situ and column testing methods are shown in
Fig. 4 for the CL site. Results from the CP method (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>) were similar to
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values from the independent and in situ method (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
to <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> confirming that the
sequence is of low-permeability at the CL site with a reasonable level of
confidence (Table 4). However, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> from both in situ and CP methods were
higher than the 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column tests of cores from 11.27 to 11.47 and 28.24 to 28.33 m BG
from this site (<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.4</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, and
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      <p>In situ <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the clayey-silt at the CL site was based on observed
amplitude and phase changes of pore pressures (at hourly or 6-hourly
intervals) due to five major rainfall events over 4 years (Timms and
Acworth, 2005). The phase lag at the base of the clay varied between 49 and
72 days. The phase lag pore pressure analysis resulted in a <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> value of
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>, while the change in amplitude over a
vertical clay sequence of 18 m (from a 17 m depth piezometer to the inferred
base of the aquitard at 35 m depth) resulted in a <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> value of
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>4.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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>.</p>
      <p>It is noted that the reliability of harmonic analysis related methods may be
compromised by specific storage measurements. Jiang et al. (2013) relied on
indirect specific storage values derived from downhole sonic and density log
data from boreholes in the region, while Timms and Acworth (2005) calculated
specific storage from barometric and loading responses that were recorded in
the same groundwater level data set and boreholes used for harmonic
analysis.</p>
      <p>The reduced test times of CP testing may be attributed to the reduced time
required to achieve steady-state flow with centrifugal forces driving flow.
Alternatively, the relatively longer time required for 1<inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column testing
may be attributed to deionised water interaction with clay that reduced
infiltration rates into the cores (10–100 lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> result for 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>
column tests compared with CP tests). It is known that decreased ionic
strength of influent (e.g. deionised water) causes a linear decrease in
permeability, and that the relative concentrations of sodium and calcium can
affect permeability due to swelling and inter-layer interactions (e.g.
Shackelford et al., 2010; Ahn and Jo, 2009). Differences in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values
from the two laboratory testing methods could be due to differences in test
set-up (e.g. 45 vs. 100 mm diameter core) and stress changes that occur as
discussed in Sects. 5.2 and S2.</p>
      <p>CP testing was relatively rapid, typically with a few hours up to 24 h
required for steady-state flow CP, compared with an average of 90 h (73,
96, and 100 h for the tests reported here) for 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column testing. In
addition, an extended test of 830 h in the CP (unpublished data)
verified that no significant changes occurred over extended testing periods.
The CP technique can therefore reduce average testing time to
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % of the time that would be required in 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> laboratory
testing systems, similar to the reduced time requirement of centrifuge
methods for unsaturated hydraulic conductivity functions compared with 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>
column tests ASTM (2010). The relative time advantage of
testing cores at accelerated gravity may be greater at lower <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, due to
the increased time required to establish steady-state flow conditions. The
relative time advantage could be significant for contaminant transport
testing, which requires several pore volumes of steady-state flow, compared
to permeability testing where steady-state flow is established before one
pore volume.</p>
      <p>The similarity of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> measurements with different scales at the CL site
(Fig. 4) indicates that in this part of the alluvial deposit <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> is independent
of vertical scale from centimetres to several metres. These <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results
from both in situ and laboratory methods provide an important constraint for
evaluations of hydraulic connectivity, particularly as there is a general
lack of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data for these sediments. Complimentary studies of hydraulic
connectivity to quantify leakage rates include pore pressure monitoring and
piezometer slug testing at various depth intervals along with
hydrogeochemical and isotope tracer data. Recent geological studies of the
alluvial sequence (Acworth et al., 2015) outlined in Sect. 2, and
identification of dual porosity structures in the large diameter cores
(Crane et al., 2015) indicate that it may be possible for vertical leakage
to occur through clayey silts if a vertical hydraulic gradient were to be
imposed. A diffusion dominated salt profile through the sequence suggest
negligible vertical flow (Timms and Acworth, 2006); however, a proper
assessment of flow connectivity requires vertical hydraulic gradients to
also taken into account any salinity variations with depth and pore pressure
variations that have occurred over at least the past decade.</p>
</sec>
<sec id="Ch1.S5.SS4">
  <title>Geological and regional context for permeability of a clayey-silt aquitard</title>
      <p>The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> measurements reported in this paper are important because there
is a lack of aquitard data for alluvial groundwater systems globally. Even
where many groundwater investigations have been completed (e.g.
Murray–Darling Basin) there continues to be a lack of information on the
thick clayey-silt sediments at various spatial scales.</p>
      <p>The core samples for testing were randomly selected from the same
lithostratigraphic formation, the upper 30 m of the alluvial sequence as
described in Sect. 2. Although the alluvial sequence extends to over 100 m
depth, we focussed this study on sediments defined by a low net-to-gross
ratio (Larue and Hovadik, 2006) of &lt; 0.4 that reflects that clay-rich part of the sequence (Timms et al., 2011). We assumed a log-normal
distribution of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> within this formation, which as noted by Fogg et
al. (1998) might be justified within individual facies, but not over the full
stratigraphic section. It was also assumed that the standard deviation of
the samples tested is similar to the standard deviation of the total
population of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results from the formation, which may only be known if
a significantly large number of samples are tested.</p>
      <p><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values for cores from the NR and BF sites were significantly larger
than for the CL site, although additional data from the NR site are required
to increased confidence intervals (Tables 3 and 4). Based on the data set
currently available for each site there did not appear to be any significant
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> trend with depth, except at the CL site, with a possible decrease of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> by a factor of 3 with depth increasing from 11 to 28 m BG. Further
testing is in progress to better identify any spatially significant trends
in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p><inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results obtained from the CP for these clayey-silt aquitards were
significantly larger than <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for consolidated rock cores tested in this
system (Bouzalakos et al., 2013). The relatively low <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> levels in this study
(up to 80 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>), compared to rock core testing (up to 520 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>; Bouzalakos et al.,
2013) were necessary for the shallow and semi-consolidated nature of the
clayey-silt cores. In fact, steady-state flow was achieved at low <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> levels
for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values that were at least 100 times higher than the current
detection limit and uncertainty of the CP system (Sect. S4).</p>
      <p>The vertical permeability of the clayey-silt aquitards in this region, and
the relative importance of matrix flow and preferential flow through
fractures and heterogeneities are critical to the sustainability of the
groundwater resource. The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> data reported in this study for these silty
and semi-consolidated sediments are higher than reported for regional flow
modelling in this area (McNeilage, 2006), indicating that the aquitards
allow for significant recharge to underlying aquifers.</p>
      <p>A regional groundwater flow model developed by McNeilage (2006), with a two-layer MODFLOW code, determined the dominant source of recharge to be diffuse
leakage through the soil (and aquitards) in the Breeza groundwater
management area. As in typical groundwater modelling practice (Barnett et
al., 2012), the aquitard was not explicitly modelled, with water instead
transferred from a shallow to a deeper aquifer using a vertical leakance
value (units in day<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p>
      <p>The calibrated groundwater model indicated that approximately 70 % of the
long-term average groundwater recharge (11 GL year<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was attributed to
diffuse leakage in this area that included the CL and NR sites. This volume
is equivalent to 20 mm year<inline-formula><mml:math 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>, or a <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math 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> assuming a unit vertical hydraulic gradient
over an area of approximately 500 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. The actual <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> or leakance
values were not reported. The calibrated leakance values were found to vary
over 3 orders of magnitude across the Breeza area, with relatively high
values in isolated areas in the south, centre, and north. In comparison, the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results on clayey-silt cores appear to be higher than the apparent
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the regional groundwater model, but with a similar degree of
heterogeneity. The reasons for this discrepancy are not yet clear, but may be
attributed to non-unique calibration of the regional flow model (e.g.
underestimation of inter-aquifer leakance) or the lack of representative
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values for this aquitard at a scale that accounts for heterogeneities
and preferential flow paths.</p>
      <p>The <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results in this study are within the range of values reported
elsewhere for semi-consolidated clay-silt sediments. For example, Neuzil (1994)
reviewed aquitard <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values for intact muds and lacustrine clays
(10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>11</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> compared to consolidated materials such
as shale with values as low as 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>16</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> for argillite. A
detailed study of a clayey-marl and limestone aquitard in France (Larroque
et al., 2013) found a quasi-systematic bias of 1 order of magnitude
between petrophysical <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> estimates (10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
compared with values (10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>11</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from hydraulic
diffusivity monitoring between 30 and 70 m BG. However, the empirical
petrophysical relationships between porosity, pore size and intrinsic
permeability do not adequately account for structural effects of clay
materials. Field piezometer rising head tests (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>225</mml:mn></mml:mrow></mml:math></inline-formula>) indicated that
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of a lacustrine clay aquitard around Mexico City was
10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> in two areas, 100 times greater than matrix-scale permeability (Vargas and Ortega-Guerrero, 2004). However, in a third
area of the Mexico City aquitard, the field tests were 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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>
indicating the regional variability that can occur within clayey
deposits.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T5" specific-use="star"><caption><p>Linear flow velocity at natural gradient, unit gradient,
and for various centrifuge permeameter set-ups (assuming a <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</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>).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Natural</oasis:entry>  
         <oasis:entry colname="col3">Unit</oasis:entry>  
         <oasis:entry colname="col4">Centrifuge</oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">gradient</oasis:entry>  
         <oasis:entry colname="col3">gradient</oasis:entry>  
         <oasis:entry colname="col4">permeameter</oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Core length <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> diameter (mm)</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>200</mml:mn><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>200</mml:mn><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>200</mml:mn><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>30</mml:mn><mml:mo>×</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mn>30</mml:mn><mml:mo>×</mml:mo><mml:mn>65</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">RPM</oasis:entry>  
         <oasis:entry colname="col2">n/a</oasis:entry>  
         <oasis:entry colname="col3">n/a</oasis:entry>  
         <oasis:entry colname="col4">202</oasis:entry>  
         <oasis:entry colname="col5">202</oasis:entry>  
         <oasis:entry colname="col6">310</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"><inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> level</oasis:entry>  
         <oasis:entry colname="col2">1</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">30</oasis:entry>  
         <oasis:entry colname="col6">70</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Vertical fluid head gradient (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</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>)</oasis:entry>  
         <oasis:entry colname="col2">0.5</oasis:entry>  
         <oasis:entry colname="col3">1</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:msup><mml:mn>0.2</mml:mn><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:msup><mml:mn>0.5</mml:mn><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:msup><mml:mn>0.5</mml:mn><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Flow (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">mL</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">h</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>)</oasis:entry>  
         <oasis:entry colname="col2">0.3</oasis:entry>  
         <oasis:entry colname="col3">0.6</oasis:entry>  
         <oasis:entry colname="col4">8.5</oasis:entry>  
         <oasis:entry colname="col5">8.5</oasis:entry>  
         <oasis:entry colname="col6">8.5</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Time for 1 pore volume (h)</oasis:entry>  
         <oasis:entry colname="col2">3333</oasis:entry>  
         <oasis:entry colname="col3">1667</oasis:entry>  
         <oasis:entry colname="col4">55.4</oasis:entry>  
         <oasis:entry colname="col5">8.3</oasis:entry>  
         <oasis:entry colname="col6">3.5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry rowsep="1" colname="col2"/>  
         <oasis:entry rowsep="1" colname="col3"/>  
         <oasis:entry rowsep="1" colname="col4">Normalised</oasis:entry>  
         <oasis:entry rowsep="1" colname="col5"/>  
         <oasis:entry rowsep="1" colname="col6"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Increased linear flow velocity</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">30</oasis:entry>  
         <oasis:entry colname="col6">71</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Reduced time for 1 PV</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">30</oasis:entry>  
         <oasis:entry colname="col5">200</oasis:entry>  
         <oasis:entry colname="col6">474</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> Fluid head gradient depends on the depth of influent on the core and
the length of the core.</p></table-wrap-foot></table-wrap>

      <p>Studies of glacial till aquitards in Canada, the US, and Denmark find that
regional permeability is typically at least 2 orders magnitude greater
than laboratory tests (van der Kamp, 2001; Fredericia 1990; Bradbury and
Muldoon, 1990; Gerber and Howard, 2000), although one study (Husain et al.,
1998) showed that for a thick glacial till aquitard in southern Ontario,
Canada, the regional permeability is similar to the laboratory-obtained
measurements, indicating the absence of significant permeable structures.</p>
      <p>There is evidence of fracturing near the surface of the clayey aquitards
that are the focus of this study. Fracture flow to a shallow pit and the
freshening of porewater in the aquifers at 16 and 34 m depth during the
irrigation season indicated rapid leakage had occurred at the BF site
(Acworth and Timms, 2009). The dynamics of fracturing within <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 m
of the ground surface in these sediments was described by Greve et al. (2012).
However, beyond the zone of fracturing near the ground surface,
there appears to be insignificant groundwater flow. Solute profiles through
the 30 m thick clayey deposit at the CL site indicate that downwards
migration of saline water is limited to diffusion and that flow is
insignificant (Timms and Acworth, 2006). On the basis of available evidence,
the clayey sediments in this region may lack preferential flow paths at some
sites, and in other areas preferential flow may occur through features such
as fractures and heterogeneity at a range of scales (Crane et al., 2015).
Further work is required to determine permeability at a range of scales, and
to better understand preferential flow paths. The current conceptual model
on which the numerical models in this region are based (simple layered
aquitard overlying an aquifer) do not allow for spatial variability in
connectivity mechanisms that could be important across a large valley
alluvial fill sequence. Multiple mechanisms for vertical connectivity,
including matrix flow, fracture flow, and sedimentary heterogeneity, could be
important in aquitards. The relative importance of each of these pathways
for vertical flow would depend on the spatial scale and local setting in
each aquitard.</p>
</sec>
<sec id="Ch1.S5.SS5">
  <title>Groundwater flow at natural gradient and accelerated conditions</title>
      <p>To determine if accelerated flow conditions are realistic for hydrogeological
environments, the linear flow velocity for various CP set-ups was compared
with other flow scenarios. The rationale behind this comparison was that if
the flow rate was consistent with scaling laws for physical modelling, with a
unit gradient as a point of reference, then the results could be consider
realistic for atypical in situ vertical hydraulic gradient. In Table 5, an in
situ hydraulic gradient of 0.5 is compared with CP set-ups for 100 and
65 mm diameter cores of various lengths for an aquitard material with a
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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>. The vertical flow rate varies from
0.3 mL h<inline-formula><mml:math 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> under in situ conditions to 8.5 mL h<inline-formula><mml:math 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> in the CP, such
that linear flow velocities remain very low at 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>–10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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>.
The flow rate during centrifugation was <inline-formula><mml:math display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> times greater
than if a hydraulic gradient of 1 was applied to the core samples at 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula>.
This increase in flow rate is consistent with scaling laws for physical
modelling (Tan and Scott, 1987) providing further evidence that the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
results are realistic.</p>
      <p>The accelerated flow conditions, whilst realistic for hydrogeological
environments, can also be an advantage for experimental studies of solute
transport. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> results of the order of 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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> were obtained
in <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 % of the time required for 1 <inline-formula><mml:math display="inline"><mml:mi>g</mml:mi></mml:math></inline-formula> column permeameter
tests. Solute breakthrough experiments require longer testing periods of
steady-state flow than for permeability testing. For example, Timms and
Hendry (2008) and Timms et al. (2009) described continuous CP experiments
over 90 days to quantify reactive solute transport during several pore
volumes (PV) of flow. The comparisons of time required for 1 PV provided
in Table 5 illustrate the possible advantages of CP for contaminant flow
that may affect the structural integrity of the material.</p>
</sec>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Conclusions</title>
      <p>An accurate and reasonable measurement of the vertical hydraulic conductivity
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mtext>v</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> of aquitards is a critical concern for many applications. For
example, following an empirical analysis of selected case studies,
Bredehoeft (2005) reported that the collection of new field data may render the
prevailing conceptual hydrogeological models invalid in 20–30 % of model
analyses. Bredehoeft (2005) coined the term “conceptual model surprise” to
explain this phenomenon. He then went on to explain that “often one does not
have hydraulic conductivity values for confining layers because of the
difficulties associated with acquiring such data”.</p>
      <p>The centrifuge technology described within this paper helps investigators to
overcome some of the modelling limitations identified by Bredehoeft (2005).
With centrifuge technology, realistic point-scale measures of hydraulic
property data can be collected to develop more realistic numerical flow
models to quantify the significance of transient drawdown, the associated
release of water into adjacent aquifers over long time periods, and the
possibility of preferential flow (Jiang et al., 2015). Realistic information on aquitard
hydraulic properties could improve confidence in conceptual and numerical
hydrogeological models of aquifer–aquitard systems.</p>
      <p>In the absence of direct measurement of aquitard permeability there is a
real risk that aquitard parameters may be ignored or misrepresented in
analyses resulting in a corresponding underprediction of vertical
connectivity via preferential flow paths and/or overprediction of aquifer
storage and transmissivity. This is an especially important consideration in
the analysis of aquifer tests that may not have been conducted for
sufficient periods of time to identify distant boundary conditions or the
characteristic effects of aquitard leakage and/or storage (Neuman and
Witherspoon, 1968). In very low-permeability strata, however, there are
practical limitations to pump tests and packer testing below about 10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> m s<inline-formula><mml:math 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>,
depending on the equipment and the thickness of strata that is
subject to testing. It is recognised that in many heterogeneous systems time
lags for the propagation of drawdown responses through an aquitard can be
significant (Kelly et al., 2013).</p>
      <p>Core-scale measures of aquitard hydraulic conductivity are an integral
component of hydrogeological studies concerning aquifer connectivity. The
availability of core-scale facies measurements enables the up-scaling of
bore log and geophysical data to determine upper and lower hydraulic
conductivity bounds for regionally up-scaled aquitard units. Any differences
between <inline-formula><mml:math display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> values at various scales are important for indicating the
possibility of preferential flow through heterogeneous strata or aquitard
defects (e.g. faults and fractures). The availability of these bounded
estimates helps to constrain the uncertainty analyses conducted on regional
groundwater flow models to yield more confident predictions (Gerber and
Howard, 2000).</p>
      <p>Nevertheless, regional groundwater flow models generally use hydraulic
resistance (leakance) values to transfer water vertically between aquifers
(Barnett et al., 2012) rather than spatial discretisation of aquitards that
control this transfer. While this simplification is justified in many
models, such an approach is not capable of identifying rapid flow pathways
through defects in the aquitards or the release of stored water from an
aquitard to an aquifer and cannot resolve the vertical hydraulic head
distribution across the aquitard to verify drawdown responses. An aquitard
should be subdivided into at least three thinner layers to effectively model
transient pressure responses (Barnett et al., 2012). Rather than assigning
constant theoretical values for aquitard properties through these multiple
layers a combination of realistic and rapid laboratory measurement and
direct in situ measurements could improve confidence in conceptual
understanding and model predictions.</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/hess-20-39-2016-supplement" xlink:title="pdf">doi:10.5194/hess-20-39-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>Funding from the Australian Research Council and National Water Commission,
through the National Centre for Groundwater Research and Training Program 1B
is gratefully acknowledged. The contributions of N Baker and A Ainsworth of
Broadbent and Sons, Huddersfield, UK, are acknowledged and J McCartney for a
helpful discussion on the theory of fluid flow during centrifuge testing. We
appreciated research support at the Breeza farm provided by M McLeod and S
Goodworth of the NSW Department of Primary Industries. Clayey-silt cores
were drilled by New South Wales Office of Water, with S McCulloch, H
Studhome, and G Regmi. Experimental testing was assisted at UNSW by A
Hartland, B Bambrook, M Aitkins, P King, S May, and T Meyers. Five reviewers
and an editor are thanked for their constructive comments on earlier drafts
of the paper.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: M. Riva</p></ack><?xmltex \hack{\newpage}?><?xmltex \hack{\newpage}?><ref-list>
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    <!--<article-title-html>Accelerated gravity testing of aquitard core permeability and implications
at formation and regional scale</article-title-html>
<abstract-html><p class="p">Evaluating the possibility of leakage through low-permeability geological
strata is critically important for sustainable water supplies, the extraction
of fuels from coal and other strata, and the confinement of waste within the
earth. The current work demonstrates that relatively rapid and realistic
vertical hydraulic conductivity (<Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript>) measurements of aquitard cores using
accelerated gravity can constrain and compliment larger-scale assessments of
hydraulic connectivity. Steady-state fluid velocity through a low-<Emphasis Type="Italic">K</Emphasis> porous
sample is linearly related to accelerated gravity (<Emphasis Type="Italic">g</Emphasis> level) in a centrifuge
permeameter (CP) unless consolidation or geochemical reactions occur. A CP
module was custom designed to fit a standard 2 m diameter geotechnical
centrifuge (550 <Emphasis Type="Italic">g</Emphasis> maximum) with a capacity for sample dimensions up to 100 mm
diameter and 200 mm length, and a total stress of  ∼  2 MPa
at the base of the core. Formation fluids were used as influent to limit any
shrink–swell phenomena, which may alter the permeability. <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> results from
CP testing of minimally disturbed cores from three sites within a clayey-silt
formation varied from 10<Superscript>−10</Superscript> to 10<Superscript>−7</Superscript> m s<Superscript>−1</Superscript> (number of samples,
<Emphasis Type="Italic">n</Emphasis> = 18). Additional tests were focussed on the Cattle Lane (CL) site, where
<Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> within the 99 % confidence interval (<Emphasis Type="Italic">n</Emphasis> = 9) was 1.1 × 10<Superscript>−9</Superscript> to 2.0 × 10<Superscript>−9</Superscript> m s<Superscript>−1</Superscript>. These <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> results were very
similar to an independent in situ <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> method based on pore pressure
propagation though the sequence. However, there was less certainty at two
other core sites due to limited and variable <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> data. Blind standard
1 <Emphasis Type="Italic">g</Emphasis> column tests underestimated <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> compared to CP and in situ <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript>
data, possibly due to deionised water interactions with clay, and were more
time-consuming than CP tests. Our <Emphasis Type="Italic">K</Emphasis><Subscript>v</Subscript> results were compared with the
set-up of a flow model for the region, and considered in the context of
heterogeneity and preferential flow paths at site and formation scale.
Reasonable assessments of leakage and solute transport through aquitards over
multi-decadal timescales can be achieved by accelerated core testing together
with complimentary hydrogeological monitoring, analysis, and modelling.</p></abstract-html>
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