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  <front>
    <journal-meta><journal-id journal-id-type="publisher">TC</journal-id><journal-title-group>
    <journal-title>The Cryosphere</journal-title>
    <abbrev-journal-title abbrev-type="publisher">TC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">The Cryosphere</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1994-0424</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/tc-15-5151-2021</article-id><title-group><article-title>Accumulation of legacy fallout radionuclides in <?xmltex \hack{\break}?> cryoconite on Isfallsglaciären (Arctic Sweden) <?xmltex \hack{\break}?> and their downstream spatial distribution</article-title><alt-title>Accumulation of legacy fallout radionuclides in cryoconite on
Isfallsglaciären</alt-title>
      </title-group><?xmltex \runningtitle{Accumulation of legacy fallout radionuclides in cryoconite on
Isfallsglaci\"{a}ren}?><?xmltex \runningauthor{C.~C.~Clason et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Clason</surname><given-names>Caroline C.</given-names></name>
          <email>caroline.clason@plymouth.ac.uk</email>
        <ext-link>https://orcid.org/0000-0001-8236-2555</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Blake</surname><given-names>Will H.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Selmes</surname><given-names>Nick</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6557-1379</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Taylor</surname><given-names>Alex</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Boeckx</surname><given-names>Pascal</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kitch</surname><given-names>Jessica</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9778-3758</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Mills</surname><given-names>Stephanie C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Baccolo</surname><given-names>Giovanni</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1246-8968</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Millward</surname><given-names>Geoffrey E.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, PL4 8AA, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Plymouth Marine Laboratory, Plymouth, PL1 3DH, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Isotope Bioscience Laboratory – ISOFYS, Ghent University, Ghent,
Belgium</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>School of Earth, Atmospheric and Life Sciences, University of
Wollongong, Wollongong, NSW 2522, Australia</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Environmental and Earth Sciences, University
of Milano-Bicocca, Milan, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Caroline C. Clason (caroline.clason@plymouth.ac.uk)</corresp></author-notes><pub-date><day>19</day><month>November</month><year>2021</year></pub-date>
      
      <volume>15</volume>
      <issue>11</issue>
      <fpage>5151</fpage><lpage>5168</lpage>
      <history>
        <date date-type="received"><day>14</day><month>May</month><year>2021</year></date>
           <date date-type="rev-request"><day>28</day><month>May</month><year>2021</year></date>
           <date date-type="rev-recd"><day>27</day><month>September</month><year>2021</year></date>
           <date date-type="accepted"><day>15</day><month>October</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 Caroline C. Clason et al.</copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021.html">This article is available from https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021.html</self-uri><self-uri xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e186">The release of legacy contaminants such as fallout radionuclides (FRNs) in response to glacier retreat is a process that has received relatively little attention to date, yet may have consequences as a source of secondary contamination as glaciers melt and down-waste in response to a warming climate. The presence of FRNs in glacier-fed catchments is poorly
understood in comparison to other contaminants, yet there is now emerging
evidence from multiple regions of the global cryosphere for substantially
augmented FRN activities in cryoconite. Here we report concentrated FRNs in
both cryoconite and proglacial sediments from the Isfallsglaciären
catchment in Arctic Sweden. Activities of some FRNs in cryoconite are 2
orders of magnitude above those found elsewhere in the catchment, and above
the activities found in other environmental matrices outside of nuclear
exclusion zones. We also describe the presence of the short-lived cosmogenic radionuclide <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> in cryoconite samples, highlighting the importance of meltwater–sediment interactions in radionuclide accumulation in the ice surface environment. It is currently unknown whether high accumulations of fallout radionuclides in glaciers have the potential to impact local environmental quality through down-wasting and downstream transport of contaminants to the proglacial environment through interaction with sediments and meltwater. We thus recommend that future research in this field focusses on processes of accumulation of FRNs and other environmental contaminants in cryoconite and whether these contaminants are present in quantities harmful for downstream ecosystems.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e210">The Arctic has received considerable attention with respect to environmental
change in recent decades as it faces pressures from a changing climate and
anthropogenic activities. Long-range atmospheric transport of contaminants
from distal sources is a contributor to changing environmental quality in
the Arctic, particularly during positive phases of the North Atlantic
Oscillation (NAO) (Duncan and Bey, 2004; Macdonald et al., 2005; Stohl, 2006), compounded by the influence of the global distillation process which
redistributes some contaminants, whose mobility is influenced by temperature, from warmer to cooler regions (Wania and Mackay, 1995). In addition, the deposition of airborne materials onto glacier surfaces has been shown to impact bare ice albedo through a darkening of the surface (Keegan et al., 2014; Tedstone et al., 2017), acting as a catalyst for increased ice surface melt (Box et al., 2012). The cryosphere has also been recognised as an active component within the biogeochemical cycle of some contaminants (e.g. Vorkamp and Rigét, 2014). Contaminants are deposited onto glacier surfaces<?pagebreak page5152?> following efficient scavenging from the atmosphere by snow (Franz and Eisenreich, 1998; Herbert et al., 2006), and it has been observed that specific anthropogenic substances, such as persistent organic pollutants (POPs), are preferentially accumulated in cold environments and
glaciers (Grannas et al., 2013). As snow compacts to form firn and ice, these legacy contaminants are accumulated within the ice column, with glaciers acting as “reservoirs” for contaminants (Steinlin et al., 2015; Miner et al., 2018). However, due to retreat and increased melt rates, glaciers are now releasing these legacy contaminants and behaving as a secondary source (Bizzotto et al., 2009; Bogdal et al., 2009).</p>
      <p id="d1e213">Within this context, cryoconite plays a peculiar and unique role. Cryoconite
is a particulate matter found on the ice surface which consists of a mixture
of organic and inorganic materials, including mineral matter, black carbon,
and microbial life (Cook et al., 2016). It often accumulates within holes
formed via preferential melting due to the low albedo of cryoconite in
comparison to the surrounding ice. Due to the local concentration of nutrients and the availability of seasonal liquid water and solar radiation,
cryoconite is a hotspot for microbial life on glaciers (Takeuchi et al., 2001; Zawierucha et al., 2019). Recent studies have highlighted that
cryoconite acts as an absorbent that accumulates certain materials,
including potential contaminants such as heavy metals (Łokas et al., 2016;
Li et al., 2017) and persistent anthropogenic organic chemicals (e.g. Łokas et al., 2016; Baccolo et al., 2017; Li et al., 2017; Weiland-Bräuer et al., 2017). Aided by its interaction with meltwater during the melt season, cryoconite accumulates several atmosphere-derived materials, acting as a temporary sink before the release of these substances into the downstream proglacial environment (Łokas et al., 2014, 2017; Baccolo et al., 2020a). The rich microbial life which flourishes in cryoconite holes also plays an important biogeochemical role, as it has been demonstrated that the bioavailability of carbon, nitrogen, and phosphorus in Antarctica is increased in cryoconite due to its microbial activity (Bagshaw et al., 2013), while augmented levels of heavy metals, including Pb, Cd, Cu, and Zn, have also been found in Arctic cryoconite (Łokas et al., 2016, 2019).</p>
      <p id="d1e216">Recently it has been established that cryoconite accumulates fallout
radionuclides (FRNs), including products of nuclear weapons testing and
nuclear accidents, and natural radionuclides such as <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> and
cosmogenic <inline-formula><mml:math id="M3" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> (Appleby, 2008; Taylor et al., 2019). The occurrence of FRNs in glacier-fed catchments remains poorly understood in comparison to
other atmospheric contaminants; however a small number of studies to date have reported high activity levels of FRNs in cryoconite in the European Alps (Tieber et al., 2009; Baccolo et al., 2017, 2020b; Wilflinger et al., 2018), the Caucasus (Łokas et al., 2018), Svalbard (Łokas et al., 2016, 2019), Canada (Owens et al., 2019), and Antarctica (Buda et al., 2020). The fate of the radionuclides accumulated in cryoconite remains uncertain, in addition to any potential socio-economic impacts linked to the release of FRNs into glaciated catchments, such as the contamination of downstream ecosystems and natural resources. Furthermore, the processes governing downstream accumulation in proglacial areas, and subsequent dilution in the hydrological system once cryoconite and associated contaminants enter proglacial waters, have not yet been explored.</p>
      <p id="d1e243">To contribute to critical knowledge on the downstream transport and accumulation of FRNs in glacial catchments, we present a comparison of
radionuclide concentrations and trace elements from cryoconite and proglacial sediments in the Isfallsglaciären catchment of Arctic Sweden, sampled during August 2017. A combination of gamma spectrometry, wavelength-dispersive X-ray fluorescence spectrometry, and elemental analysis of bulk stable carbon and nitrogen isotopes was conducted to establish the activities of radionuclides and stable elements in each sample. Combining the results we report here from Isfallsglaciären with previous observations of FRNs in cryoconite (e.g. Tieber et al., 2009; Baccolo et al., 2017; Łokas et al., 2018; Owens et al., 2019), this work suggesting that the accumulation of FRNs on glaciers is not limited to localised “hotspots” near sites of accidents but is widespread across the global cryosphere. Furthermore we demonstrate that the FRN activities detected in cryoconite on Isfallsglaciären are considerably higher than those found in a range of proglacial sediment settings within the catchment, both highlighting cryoconite's unique ability to accumulate FRNs efficiently and also demonstrating that these activity levels are some of the highest ever recorded outside of nuclear exclusion zones.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e249">Overview map of the Isfallsglaciären catchment <bold>(A)</bold>, sediment sampling within the proglacial zone with braided stream network visible <bold>(B)</bold>, and cryoconite sampling on the surface of the southern glacier lobe <bold>(C)</bold>. Location of the Tarfala Valley marked is with a blue triangle in the inset map of Sweden. Imagery source: Google Earth, 67<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>54<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>55.25<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N, 18<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>35<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>32.13<inline-formula><mml:math id="M9" 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 (image from 8 October 2013) © Google Earth.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f01.png"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study site</title>
      <p id="d1e336">Isfallsglaciären is a small <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> km<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> polythermal valley glacier in the Tarfala Valley of Arctic Sweden. It sits on the eastern flanks of Sweden's highest mountain, Kebnekaise (2096 m a.s.l.), at 67.9<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 1), and while thinning substantially, it has roughly maintained its terminus position since 1990, prior to which it retreated at an average rate of <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> m a<inline-formula><mml:math id="M14" 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> between 1916 and 1990 (Ely et al., 2017). The Tarfala Valley is a high-alpine, subarctic environment, characterised by a cold, humid climate (mean annual temperature <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; mean annual precipitation <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2000</mml:mn></mml:mrow></mml:math></inline-formula> mm) and a hydrological regime dominated by snow and glacier melt in the summer (Dahlke and Lyon, 2013). The Kebnekaise massif is part of the Seve belt of the Scandinavian Calenonides, with the study site sitting primarily within the Kebne amphibolite outcrop, bounded by the Storglaciären mylonite gneiss at its most distal extent (Baird, 2010). The glacier terminus is split into two lobes by an amphibolite bedrock outcrop. Isfallsglaciären was chosen for this study due to the closed nature of the proglacial catchment, which is constrained by the presence of large latero-frontal Holocene moraines (Fig. 1), the innermost of which were overridden by an advance in 1916 (Karlén, 1973). The ice surface of the north lobe is very steep<?pagebreak page5153?> and heavily crevassed and restricted the collection of cryoconite samples in this study to the south lobe. Glacial meltwater emerges within two braided proglacial outlets from the north and south lobes, which feed into two proglacial lakes, Frontsjön and Isfallssjön, situated within 700 m of the present-day terminus. We targeted Isfallssjön when extracting a lake sediment core as it significantly predates Frontsjön, which formed following glacial retreat past an overdeepening in the forefield after 1959 (Karlén, 1973), and is fed by both of the proglacial outlet streams.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methods</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Sampling strategy and sample preparation</title>
      <p id="d1e434">Our sampling strategy was designed to characterise the range of sources
contributing to sediment accumulation in the most distal lake, Isfallssjön, and encompasses cryoconite from the snow-free surface of the ablation zone (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula>), sediments within the two braided proglacial outlet streams (<inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">11</mml:mn></mml:mrow></mml:math></inline-formula>), surface sediments from the overridden inner slopes of the north and south moraine (<inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>), and sediments from the central foreland
(<inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>) (Fig. 1). Combined, these samples span 1150 to 1340 m a.s.l. Rockfall also contributes as a sediment source within the catchment; however this material was<?pagebreak page5154?> not sampled due to the active nature of the rockfall, which would make sampling dangerous. All samples were collected between 7 and 17 August 2017, towards the end of the ablation season when snow cover was minimal outside of the accumulation zone. We conducted cryoconite sampling in two transverse profiles to investigate the effects of aspect and distance from the valley side on the accumulation of FRNs and other materials, and we sampled in the proglacial outlets at intervals along the reaches of the two streams to investigate any possible downstream changes in FRN activity concentrations. Each sample was collected in a spatially integrated manner by sampling from five sites within a metre of a central point and stored within new, clean plastic sampling bags or 50 mL tubes. We also retrieved a 38 cm lake sediment core from Isfallssjön using a HTH 90 mm diameter gravity corer, and we extruded the core on-site at 1 cm intervals. Samples were subsequently oven-dried at 100 <inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for the minimum time required to reach a constant weight and the <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M24" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m component retrieved for subsequent geochemical analyses. Due to the limited amount of cryoconite available for sampling at each supraglacial site, which varied in mass based on cryoconite type (e.g. in a cryoconite hole, submerged in supraglacial water, distributed on the ice surface), we reserved the entire bulk sample to ensure we had sufficient material for gamma spectrometry. Lake core sections were also preserved in bulk for particle size analysis. Particle size analysis was performed in triplicate on all samples taken from the catchment, using laser diffraction. We use the surface-area-weighted mean particle size, or D [3, 2], for subsequent data analysis presented here as this is the most sensitive measure where fine particulates are common within the size distribution (Malvern, 2015), and relevant where reactivity and bioavailability are of potential importance.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Gamma spectrometry</title>
      <p id="d1e521">Radioactive analyses were carried out in the ISO9001 accredited Consolidated
Radio-isotope Facility (CoRIF) at the University of Plymouth, applying an
established methodology (e.g. Wynants et al., 2020). Particulate samples for
the well detector were packed and sealed into 4 mL plastic vials, and samples
for analysis on the planar detector were packed and sealed into 90 mm plastic petri dishes. Sample weighing was conducted on a calibrated balance.
Samples were packed within 14 d of return to the laboratory to ensure rapid analysis and were incubated for 22 d prior to analysis to allow the development of secular equilibrium along the <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">238</mml:mn></mml:msup><mml:mi mathvariant="normal">U</mml:mi></mml:mrow></mml:math></inline-formula> decay chain. Gamma counting was conducted using well (GWL-170-15-S; N-type) and planar
(GEM-FX8530-S; N-type) spectrometers, both consisting of liquid-nitrogen-cooled, high-purity germanium semiconductor detectors (EG &amp; G ORTEC,
Wokingham, UK). The well detector had a full width at half maximum (FWHM) for
the 1330 keV line of <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">60</mml:mn></mml:msup><mml:mi mathvariant="normal">Co</mml:mi></mml:mrow></mml:math></inline-formula> of 2.17 keV, and the planar detector had a FWHM of 1.76 keV and a relative efficiency of 50.9 %. The energies, peak
widths, and efficiencies of the gamma spectrometers were calibrated using a
natural, homogenised soil, with low background activity, which had been
spiked with a certified, traceable mixed radioactive solution (80717-669 supplied by Eckert &amp; Ziegler Analytics, Georgia, USA). Calibration relationships were derived using ORTEC GammaVision © software. After incubation, the spiked soils and the samples from Isfallsglaciären, and empty sample containers as blanks, were counted for at least 24 h, and all activities were decay-corrected to the sample collection date. The uncertainties were estimated from the counting statistics and are quoted with a <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>  counting error. Unsupported <inline-formula><mml:math id="M28" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M29" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">un</mml:mi></mml:msub></mml:math></inline-formula>)
activities were obtained by the subtraction of <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">226</mml:mn></mml:msup><mml:mi mathvariant="normal">Ra</mml:mi></mml:mrow></mml:math></inline-formula> activity, deduced from the gamma emissions of <inline-formula><mml:math id="M32" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">214</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula>, from the measured total activity of <inline-formula><mml:math id="M33" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M34" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mi>T</mml:mi></mml:msub></mml:math></inline-formula>). Quality control analyses were carried out regularly using soils from the IAEA world-wide proficiency tests, including a moss soil (IAEA-CU-2009-03) and another soil (IAEA-TEL-2012-03) (Table A1).</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Wavelength-dispersive X-ray fluorescence spectrometry</title>
      <p id="d1e655">We analysed all samples for a full suite of major and minor elements using
wavelength-dispersive X-ray fluorescence (WD XRF) spectrometry. For the
proglacial area and lake core, each sample was milled using a Fritsch
pulverisette, mixed with a Ceridust 6050M S1000 polypropylene wax binder
(Clariant, Switzerland), and pressed into a pellet. The dried cryoconite samples were powdered by hand using a pestle and mortar prior to being
packed into 40 mm diameter cups fitted with 6 <inline-formula><mml:math id="M36" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m polypropylene
spectromembrane (Chemplex, USA). All samples were packed to the same volume
and left to settle for 24 h prior to analysis. Analyses were undertaken in the CoRIF lab by WD XRF spectrometry (Axios Max, PANalytical, the Netherlands). The instrument was operated at 4 kW using a Rh target X-ray
tube. During sequential analysis of elements, tube settings ranged from 25 kV, 160 mA for low-atomic-weight elements up to 60 kV, 66 mA for higher-atomic-weight elements. All analyses were undertaken using the Omnian
analysis application (PANalytical, Netherlands) under a medium of He. This
approach offers a rapid and non-destructive means of determining a wide range of elemental concentrations in cryoconite. Repeatability of the approach was assessed by repacking and analysing cryoconite samples in triplicate with the relative standard deviation found to be <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> % across triplicates. Cross comparison to results obtained from a validated inductively coupled plasma optical emission spectrometry (ICP-OES) procedure showed XRF-derived concentrations were in close agreement (within 15 % relative to ICP-OES) for the elements of interest.</p><?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page5155?><sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Stable isotope analysis</title>
      <p id="d1e685">The dried cryoconite samples were ground by hand using a pestle and mortar.
Particulate N and C were determined via elemental analysis (Carlo Erba, EA1110, Italy). The instrument was calibrated using acetanilide, empty
pre-combusted capsules were analysed as blanks, and the accuracy of the analyses were checked using the certified reference material PACS-2 (National Research Council of Canada). The results showed that the analyses were accurate to within 10 % of certified values. The ground samples for
<inline-formula><mml:math id="M38" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M39" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> analysis were packed into tin capsules and weighed using a calibrated balance. The <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M41" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> ratios were determined at the Isotope Bioscience Laboratory at Ghent University using an elemental analyser (ANCA-SL, Sercon, UK) coupled to an isotope ratio mass spectrometer (20–22, Sercon, UK). The measured <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> values were given relative to the international standards, Vienna PeeDee Belemnite (V-PDB) and AIR, respectively. This calibration was done using the IA-R001 <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> wheat flour laboratory standard (<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:mi>V</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">PDB</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">26.43</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.08</mml:mn></mml:mrow></mml:math></inline-formula> ‰ and <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow><mml:mi mathvariant="normal">AIR</mml:mi><mml:mo>=</mml:mo><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2.55</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.22</mml:mn></mml:mrow></mml:math></inline-formula> ‰) and an in-house quality assurance organic reference. The average standard deviation on the <inline-formula><mml:math id="M47" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula> value was determined by measuring five randomly selected samples in triplicate, giving a standard deviation of 0.32 ‰ for <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and 0.14 ‰ for <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>. For the final analysis of cryoconite,
each sample was analysed in duplicate, and an average was taken.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <label>3.5</label><title>Constant rate of supply modelling</title>
      <p id="d1e907">The sedimentary archive from the proglacial lake core was used to construct
a sedimentation chronology using fallout <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> supported by known
<inline-formula><mml:math id="M51" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> date horizons. Reference dates from Chernobyl (1986) and weapons testing (1963 peak and 1952 onset) were used to constrain the chronology following principles outlined in Appleby (2002) in two phases. Due to known disruption of sediment flux from the glacier to Isfallssjön in 1959 with formation of Frontsjön, the constant rate of supply (CRS) model was applied to the core in two sections. This was done to account for any potential change in secondary <inline-formula><mml:math id="M52" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">un</mml:mi></mml:msub></mml:math></inline-formula> supply. The CRS model was initially run fitting the <inline-formula><mml:math id="M54" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> profile to the lowermost measurement of <inline-formula><mml:math id="M55" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula>, wherein <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> is known to have been predominantly supplied by global weapons testing fallout (Olszewski et al., 2018). The core was then split at the dated horizon 1959, and the lower section was analysed with a separate CRS model benchmarked to the 1952 onset of <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> fallout. Due to low activity concentrations and detection challenges in the lowermost section, the profile tail was modelled using an exponential function fitted (<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.99</mml:mn></mml:mrow></mml:math></inline-formula>) to three high-precision measurements derived from extended count times, noting the tail represents a small overall proportion of total inventory. Horizon dates and sediment accumulation rates were derived as outlined by Appleby (2002) for each separate model application.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Cryoconite composition</title>
      <p id="d1e1034">Fourteen samples of cryoconite were retrieved from the surface of Isfallsglaciären, which are characterised by the range of radionuclide
concentrations described in Table A2. The mean activity concentrations of
<inline-formula><mml:math id="M59" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">un</mml:mi></mml:msub></mml:math></inline-formula>, and <inline-formula><mml:math id="M62" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> in cryoconite are <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mn mathvariant="normal">3069</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">941</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mn mathvariant="normal">9777</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">780</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mn mathvariant="normal">25.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.7</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M66" 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> respectively, reaching a maximum of <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mn mathvariant="normal">4533</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">350</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mn mathvariant="normal">14</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">663</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1167</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mn mathvariant="normal">74.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10.2</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M70" 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 <inline-formula><mml:math id="M71" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> is a natural radioisotope derived from the decay of <inline-formula><mml:math id="M72" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">222</mml:mn></mml:msup><mml:mi mathvariant="normal">Rn</mml:mi></mml:mrow></mml:math></inline-formula> in the atmosphere (Gäggeler et al., 2020), <inline-formula><mml:math id="M73" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M74" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> are anthropogenic FRNs, distributed via atmospheric transport, and are common fission by-products from nuclear reactors and weapons testing (Lindblom, 1969). The anthropogenic
radionuclide <inline-formula><mml:math id="M75" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> is partially soluble in water, and is a radionuclide of concern in terms of both animal and human health (Van Oostdam et al., 1999). With a half-life of 30.17 years, it is relatively short-lived in the environment, and the <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> deposited globally through long-range atmospheric deposition following the Chernobyl accident has decayed by 50 % since 1986 (Olszewski et al., 2018). The half-life of <inline-formula><mml:math id="M77" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> is considerably longer at 432.2 years and is increasing in the environment due to the short half-life (14 years) of its parent radionuclide <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Pu</mml:mi></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math id="M79" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> is an alpha emitter and less exchangeable (acid–water soluble) than <inline-formula><mml:math id="M80" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> (Kovacheva et al., 2014); however it is potentially harmful if ingested (e.g. Harrison et al., 1994). The primordial radionuclide <inline-formula><mml:math id="M81" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula> is also detected in our cryoconite samples at relatively high activities (an average of <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mn mathvariant="normal">1839</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">168</mml:mn></mml:mrow></mml:math></inline-formula> and a maximum of <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mn mathvariant="normal">2054</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">207</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M84" 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 <inline-formula><mml:math id="M85" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula> mean activities found in cryoconite on Isfallsglaciären exceed the maximum activities found on both the Forni and Morteratsch glaciers in the Italian and Swiss Alps (<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mn mathvariant="normal">770</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mn mathvariant="normal">810</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">55</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M88" 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> respectively) as reported by Baccolo et al. (2020a), and the considerably higher maximum of <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:mn mathvariant="normal">1440</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M90" 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> recorded on the Stubacher Sonnblickkees glacier of the Austrian Alps by Wilfinger et al. (2018). Since <inline-formula><mml:math id="M91" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula> is a natural component of rock, the high activities found at Isfallsglaciären are likely related to the geochemical signature of the surrounding catchment geology, and in particular to the abundance of potassium in the rock and sediment.</p>
      <p id="d1e1437">By considering both the activities of radionuclides and the content of C and N, it is possible to explore the relationship between the organic content of cryoconite and the distribution of radioactivity. The spatial variability of activities for selected natural and anthropogenic radionuclides is
illustrated in Fig. 2, with the mass fraction of C and N (% C and % N)
measured in the cryoconite samples through bulk stable isotope analysis shown in Fig. 2C. The<?pagebreak page5156?> relationship between organic content and accumulation of some radionuclides is illustrated by the relatively low values of both % N and % C and natural radionuclides <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>,
in the southernmost samples from the upper glacier transect. Higher relative
values are found in samples collected to the north. Values of % C and % N cover a wide range of 6.4 %–24.5 % and 0.4 %–1.2 % respectively, with an average <inline-formula><mml:math id="M94" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> ratio of <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mn mathvariant="normal">12.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.6</mml:mn></mml:mrow></mml:math></inline-formula> %, which may be attributable to the complex microbial community present in the cryoconite. Typically, micro-organisms mineralise N from the organic matrix to support plant uptake of the nutrient. This is because soil micro-organisms require a cellular <inline-formula><mml:math id="M96" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> ratio of about 8, which is maintained via the N mineralisation. Material in cryoconite holes in Antarctica was found to have a relatively low carbon content of 0.06 %–0.35 %, contributing to <inline-formula><mml:math id="M97" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> ratios in the range 3.5–8.2 (Bagshaw et al., 2013), while samples from the Morteratsch and Forni glaciers had mass ratios of <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula> % and <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mn mathvariant="normal">7.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> % for organic matter respectively and
<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.25</mml:mn></mml:mrow></mml:math></inline-formula> % and <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> % for elemental carbon (Baccolo et al., 2020a). Thus, there are considerable differences in the C and N contents of particulate matter found in cryoconite holes across the cryosphere.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e1563">Spatial variability of selected anthropogenic <bold>(A)</bold> and natural <bold>(B)</bold> radionuclide activities and the C and N content <bold>(C)</bold> of cryoconite on Isfallsglaciären. The sampling points for cryoconite samples G1 to G14 (see Fig. 1C) are centred beneath the yellow, green, and blue circles in <bold>(A–C)</bold> respectively. Note that <inline-formula><mml:math id="M102" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> was not detected above the minimum detectable amount in sample G14 <bold>(B)</bold>. Imagery source: Google Earth, 67<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>54<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>55.25<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N, 18<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>35<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>32.13<inline-formula><mml:math id="M108" 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 (image from 8 October 2013) © Google Earth.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f02.png"/>

        </fig>

      <p id="d1e1662">The presence of the cosmogenic radionuclide <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> in these samples also provides insight into the process of accumulation of radionuclides in
cryoconite. Despite being one of the most stable beryllium radioisotopes,
the half-life of <inline-formula><mml:math id="M110" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> is relatively short at 53 d (cf. 1.39 million
years for <inline-formula><mml:math id="M111" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">10</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>), yet it is present in all but one of the cryoconite
samples, with a mean activity of <inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mn mathvariant="normal">1014</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">599</mml:mn></mml:mrow></mml:math></inline-formula> Bq kg<inline-formula><mml:math id="M113" 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>. This is at
least an order of magnitude higher than the activities of <inline-formula><mml:math id="M114" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> typically observed in surface soils and fine river sediments in the mid-latitudes (e.g. Smith et al., 2014; Ryken et al., 2016). <inline-formula><mml:math id="M115" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> demonstrates rapid sorption to sediment particles and has been shown to have an affinity for reducible (e.g. Fe/Mn oxides) and oxidisable (e.g. organic) fractions (Taylor et al., 2012). Finding high activities of <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> in cryoconite implies a recent accumulation history and supports the role of meltwater – likely sourced from recent snowfall – in providing a crucial link between the radionuclides stored in glacier ice and cryoconite (Baccolo et al., 2020b). The atmospheric deposition of <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> is affected by a number of factors, including its availability in surface air for scavenging by precipitation (Aldahan et al., 2001). Concentrations of <inline-formula><mml:math id="M118" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> are
generally higher in mid-latitude surface air masses (Kulan et al., 2006),
with atmospheric circulation driving the downward transport of <inline-formula><mml:math id="M119" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>-rich air from the upper troposphere (Aldahan et al., 2001). However, in the polar regions, descent of upper troposphere air is less owing to the stability of the air masses; thus, surface air of polar origin is typically found to have relatively low <inline-formula><mml:math id="M120" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> activities. It is generally accepted that <inline-formula><mml:math id="M121" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> is largely transported to the Arctic from the mid-latitudes, with a strong seasonal variation (higher in late winter–spring) that can correspond with transport of contaminants (Feely et al., 1989). Potential <inline-formula><mml:math id="M122" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>-rich air masses in late winter–spring with corresponding deposition, coupled with summer meltwater production and the concentrating effect of radionuclide exchange at the water–sediment interface described above, may help to explain the relatively high activities found in these cryoconite samples from Arctic Sweden. Routine monitoring of <inline-formula><mml:math id="M123" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> in precipitation can identify temporal variability linked to atmospheric processes (Taylor et al., 2016). In this regard <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> could be a useful proxy for transfer of contaminants to the cryosphere in the context of seasonal dynamics of atmospheric circulation (Terzi et al., 2020).</p>
      <?pagebreak page5157?><p id="d1e1859">The average inorganic composition of cryoconite based on XRF analysis is shown in Fig. 3. Not unexpectedly, <inline-formula><mml:math id="M125" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SiO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is by far the most abundant
element in the samples, averaging <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">357</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">900</mml:mn></mml:mrow></mml:math></inline-formula> ppm, followed by
<inline-formula><mml:math id="M127" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Al</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">111</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> ppm) and <inline-formula><mml:math id="M129" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Fe</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
(<inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">105</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> ppm). Based on calculating the normalised standard deviation for each element, the element with the highest variance between the 14 cryoconite samples is Cu (0.376), while the least variance between samples (0.034) is found for <inline-formula><mml:math id="M131" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Fe</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, one of the most abundant
elements found in cryoconite on Isfallsglaciären. The sum of the concentrations of major and trace element oxides detected via XRF
spectrometry for the cryoconite samples is between 63.7 % and 79.5 %, and a further 6.8 %–13.5 % can be attributed to C and N based on bulk stable
isotope analysis.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1963">Average inorganic composition proportion of cryoconite samples G1 to G14 from XRF analysis. Note that these elements make up <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> % of the composition of each sample.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f03.png"/>

        </fig>

      <p id="d1e1982">The means of selected metal concentrations in cryoconite samples are shown in Table A3. The concentrations for Cu, Fe, Pb, and Zn are elevated over those associated with cryoconite granules found in a glacier in Svalbard (Łokas et al., 2016). These values together with the Al concentrations were used to determine enrichment factors (EFs) from Eq. (1):
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M133" display="block"><mml:mrow><mml:mi mathvariant="normal">EF</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mfenced close="}" open="{"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>(</mml:mo><mml:mi>M</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow class="chem"><mml:mi mathvariant="normal">Al</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow><mml:mrow><mml:mfenced open="{" close="}"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>(</mml:mo><mml:mi>M</mml:mi><mml:mo>)</mml:mo><mml:mi mathvariant="normal">Ref</mml:mi></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Al</mml:mi><mml:mo>)</mml:mo><mml:mi mathvariant="normal">Ref</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where (<inline-formula><mml:math id="M134" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula>) and (Al) are the total concentrations of a metal and of aluminium, and <inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>M</mml:mi><mml:msub><mml:mo>)</mml:mo><mml:mi mathvariant="normal">Ref</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and (Al)<inline-formula><mml:math id="M136" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">Ref</mml:mi></mml:msub></mml:math></inline-formula> are the reference values of the metal and aluminium for the upper continental crust (Wedepohl, 1995). In these samples from Isfallsglaciären the mean of Al concentrations (<inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula>) was <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mn mathvariant="normal">57</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">930</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3250</mml:mn></mml:mrow></mml:math></inline-formula> mg kg<inline-formula><mml:math id="M139" 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>. Internationally, the Canadian sediment guidelines for risk to aquatic life (CCME, 1995) can be used to evaluate whether the particulate matter at a site is contaminated or not. In general terms, a sample with an EF falling in the range <inline-formula><mml:math id="M140" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>&lt;</mml:mo><mml:mi mathvariant="normal">EF</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> has minor
enrichment, the range <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>&lt;</mml:mo><mml:mi mathvariant="normal">EF</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> indicates moderate enrichment, the range <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>&lt;</mml:mo><mml:mi mathvariant="normal">EF</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> is assessed as moderate to severe enrichment, and <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mi mathvariant="normal">EF</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> is classed as severe enrichment. The cryoconite samples have elevated metal concentrations, but only Cr and Pb have concentrations above the probable effect level (PEL). The EF values are clustered in three groups with the highest for Cu and Pb, followed by Cr and Ni, while Fe, Ti, and Zn have the lowest EFs.</p>
      <p id="d1e2171">A principal component analysis (PCA) was conducted for the cryoconite samples to help explore the variance between the samples, based on gamma spectrometry, particle size analysis, and stable isotope analysis. The PCA
scores and loadings for principal components 1 and 2 are depicted in Fig. 4, and no outliers were identified in the data based on the Mahalanobis distance. The PCA loadings (Fig. 3B; Table A4) show that the content of C and N in cryoconite has large positive loadings on principal component 1,
while area-weighted particle size (D [3, 2]) has a large positive loading on
principal component 2, closely followed by strong negative loadings from
<inline-formula><mml:math id="M144" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M145" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>. These first two components explain 70 % of the variance in the data, with principal component 1 explaining 47 % and component 2 explaining a further 23 %. Principal components 3, 4, and 5 explain 10 %, 6.4 %, and 5.9 % of the variance respectively, and combined the first five principal components explain 93 % of the variance in the data. Table A4 contains the eigenvector values for principal components 1 to 5, highlighting the influence of <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M147" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> on components 3 to 5. While sample numbers are limited, the PCA nevertheless reveals a clustering in cryoconite samples collected from the north side of the southern glacier terminus (Fig. 4a; see Fig. 1C), suggesting that exposure to sunlight may be an influencing factor on the accumulation of FRNs, due to increased melting and/or available energy (see Fig. 2). This in turn may play an important role in organic content of cryoconite by providing energy for flora and microbial life and warrants further investigation in the future. It has previously been shown that a higher proportion of bioavailable C, N, and P is present in cryoconite in comparison to source materials (Bagshaw et al., 2013), highlighting the
significant role it plays within biogeochemical cycling. As demonstrated
here, other elements are also found in higher concentrations where energy
availability is greater, likely due to the microbial activity within
cryoconite.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2239">Principal component analysis (PCA) for cryoconite samples G1–G13, excluding <bold>(a, c)</bold> and including <bold>(b, d)</bold> major and minor elements from XRF analysis. Data are grouped by position on the glacier terminus (north and south; see Fig. 1) for the PCA scores <bold>(a, c)</bold>. The PCA loading plots depict eigenvector values for FRNs (black), C and N analysis (red), and particle size analysis (blue) in panel <bold>(b)</bold>, with the inclusion of major and minor elements (purple) in panel <bold>(d)</bold>. Principal components 1 and 2 are depicted here; see table A2 for eigenvectors for principal components 1 to 6.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f04.png"/>

        </fig>

      <p id="d1e2263">A second PCA was performed to investigate the role of inorganic composition
of cryoconite by including major and minor elements detected through XRF
analysis (PCA scores and loadings for principal components 1 and 2 are
depicted in Fig. 4c and d). In this case the first three components explain 70 % of the variance, and the first six 90 %, with the first principal component explaining 45 % and components 2 to 6 explaining 14 %, 12 %, 9 %, 6.6 %, and 4.3 % of the variance respectively. Examination of the eigenvector values for this PCA illustrate the influence of a negative loading from CaO and <inline-formula><mml:math id="M149" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Na</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> for principal component 1, followed closely by MgO and Cl, with area-weighted particle size (D [3, 2]) again showing a strong negative loading for component 2. CaO, <inline-formula><mml:math id="M150" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Na</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, MgO, and Cl are all relatively soluble elements, which may explain the clustering of these elements and their role in explaining variance within the samples.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2294">Natural and anthropogenic radionuclide activities detected in sediment samples from proglacial outwash, the lake core (split into four subsections), moraines, and the central forefield, depicting the median,
interquartile range, range, and outliers for each sample class. Note that
the activity concentrations for cryoconite are excluded here as they dwarf
the values of the other samples (see Table A2), and an extreme outlier for
<inline-formula><mml:math id="M151" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> has been removed (<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> moraine sample, 207.2 Bq kg<inline-formula><mml:math id="M153" 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></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f05.png"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
<?pagebreak page5158?><sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Catchment-wide distribution of radionuclides</title>
      <p id="d1e2346">The activities of radionuclides detected within the proglacial area of the
Isfallsglaciären catchment are significantly lower than those in cryoconite (Table A1; Fig. 5). This supports the fact that cryoconite is a highly
efficient accumulator of radionuclides to the extent that activities are
orders of magnitude above those which were deposited and accumulated “off
ice”. The deglaciated central forefield has very low levels of FRNs despite
having been exposed by the ice before the weapons testing era and Chernobyl;
by comparison, the samples of proglacial outwash, which are fed by a regular
supply of meltwater and sediment from the glacier, are characterised by much
higher activity concentrations of natural radionuclides, particularly for
<inline-formula><mml:math id="M154" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M155" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>. Indeed, of the proglacial samples, <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> is only found in proglacial outwash and lake core sediments, suggesting that the transport of sediment and radionuclides in meltwater is important for their downstream accumulation (Fig. 5) in addition to their accumulation in cryoconite (Baccolo et al., 2020b). The importance of interaction with meltwater, and possible enrichment by runoff of supraglacial sediments such as cryoconite, is further supported by the elevated levels of radionuclides present in the upper portions of the proglacial lake core which are in excess of all other off-ice sediment sources sampled here. Correlation
analysis also supports the importance of sediment for accumulation of some
FRNs, particularly <inline-formula><mml:math id="M157" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula>, in both proglacial and lake core sediments via a negative relationship between FRN activity concentrations and particle
size (Fig. 6). This relationship is not present for moraine sediments and
thus likely reflects the importance of hydrological sorting of sediments and
the presence of fine particles. <inline-formula><mml:math id="M158" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> is found only in the middle
portions of the lake core, corresponding to known dates of nuclear activity
which will be discussed further below. These results may reflect a more
continuous flux of natural radionuclides from the glacier to the proglacial area, while FRNs, deposited during temporally restricted events, melt out
more sporadically due to their storage in defined layers within the snow,
firn, and ice. While the activity concentrations of FRNs in moraine sediments are generally low in comparison to cryoconite and proglacial outwash, there is a clear anomaly in the<?pagebreak page5159?> radionuclide concentrations from one sample which contained 74 Bq kg<inline-formula><mml:math id="M159" 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> of <inline-formula><mml:math id="M160" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> and 207 Bq kg<inline-formula><mml:math id="M161" 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> of <inline-formula><mml:math id="M162" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. 5). This anomaly suggests the possible presence of localised off-ice hotspots, which may be representative of efficient accumulation of FRNs via lichens and mosses from direct atmospheric deposition, as has been reported in other environments (e.g. Sumerling, 1984; Paatero et al., 1998; Kirchner and Daillant, 2002); however we are cautious in our interpretation of this single anomalous sample.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e2460">Correlation matrices for cryoconite, proglacial, moraine, and lake
core sediment samples. The colour bar and circle size relate to the correlation strength (Pearson correlation coefficient), and correlations not
significant at the 95 % confidence level are indicated with a black cross.
Note that stable isotope analysis was conducted for cryoconite only and
that <inline-formula><mml:math id="M163" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> were not present in all sediment types at a frequency to allow correlation analysis.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f06.png"/>

        </fig>

      <p id="d1e2493">The spatial distribution of radionuclide activity concentrations in the
proglacial area of Isfallsglaciären is shown in Fig. 7. <inline-formula><mml:math id="M165" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> is only present in proglacial outwash; however there is no clear spatial
pattern of which samples this has been detected in (Fig. 7a). There is little
variation in <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> between moraine, forefield, and proglacial outwash sediments; however the anomalous value described above is clearly visible in the moraine sample closest to the northern glacier terminus. There is much more obvious variation in activity concentrations for both <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M168" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula>, which illustrate a clear difference between the sediments transported in the northern and southern proglacial outlet streams (Fig. 7b). <inline-formula><mml:math id="M169" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula> is, for the most part, present in higher levels in moraine sediments (particularly the northern moraine) than the proglacial outwash, in addition to the central forefield sample furthest from the present-day terminus (and most isolated from the braided stream system). <inline-formula><mml:math id="M170" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula> is a common element in the Earth's crust, and the relative stability of moraines in comparison to proglacial outwash may allow for increased accumulation of this radionuclide, which has a very long half-life of 1.251 billion years. Potassium is also a relatively soluble element, and thus it may be expected that activity levels would be lowest in areas influenced by a dynamic hydrological system, while levels in areas isolated from water (aside from precipitation) accumulate more <inline-formula><mml:math id="M171" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula>. The spatial distribution of <inline-formula><mml:math id="M172" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> in the proglacial area of Isfallsglaciären is more complex, with values in sediments from the southern proglacial outlet stream being notably higher than those from the north, and those in moraine sediments. This may be influenced by the glacier surface topography, as the northern terminus lobe is considerably steeper and more crevassed than the southern lobe, which may restrict the ability for cryoconite to accumulate on the surface and meltwater to flow and transfer materials uninterrupted, thus leading to decreased FRN enrichment of supraglacial sediments. The southern proglacial outlet may also have a higher discharge,<?pagebreak page5160?> or be more dynamic in its flow pathways, allowing for accumulation of sediment from a larger sediment source pool.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e2596">Spatial variability of selected radionuclide activities detected in proglacial sediment samples from the central forefield, moraines, and proglacial outwash (sampled within the mobile braided stream network). The
sampling points are centred beneath the yellow and orange circles in panels <bold>(A)</bold> and <bold>(B)</bold> respectively. Circles with a green outline denote samples from moraines, circles with a blue outline denote samples from proglacial outwash, and circles with pink outlines denote samples from the central forefield. Note that neither <inline-formula><mml:math id="M173" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> nor <inline-formula><mml:math id="M174" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> were detected above the minimum detectable amount for two moraine samples <bold>(A)</bold> and that <inline-formula><mml:math id="M175" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> was only detected in proglacial outwash samples, the lake core, and cryoconite (the latter two are not shown here). Imagery source: Google Earth, 67<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>54<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>55.25<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N, 18<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>35<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>32.13<inline-formula><mml:math id="M181" 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 (image from 8 October 2013) © Google Earth.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f07.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e2714">Fallout radionuclide depth profiles for <bold>(a)</bold> <inline-formula><mml:math id="M182" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">un</mml:mi></mml:msub></mml:math></inline-formula> and <bold>(b)</bold> <inline-formula><mml:math id="M184" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> with geochronological information of <bold>(c)</bold> age–depth and
<bold>(d)</bold> sediment accumulation rate according to output from the constant rate of supply model (see text for details).</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://tc.copernicus.org/articles/15/5151/2021/tc-15-5151-2021-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Longer-term downstream sediment and contaminant accumulation</title>
      <?pagebreak page5161?><p id="d1e2776">The downcore profile of fallout <inline-formula><mml:math id="M185" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula> against mass depth (reflecting accumulation rates) in lake sediments from Isfallssjön (Fig. 8a) departs from exponential decline, implying periods of enhanced sedimentation. From mass depth ca. 40 g cm<inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (true depth 23 cm) downward, activity concentrations approached the limit of detection wherein selected samples were counted for a longer duration to achieve measurable values to model the tail for CRS modelling (not shown). The <inline-formula><mml:math id="M187" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> profile (Fig. 8b) shows a first detectable activity concentration at mass depth 62 g cm<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (true depth 35 cm). Following Lindblom (1969), this is inferred to represent the onset of early weapons testing in 1952. Subsequent peaks, moving upward, are inferred to represent (i) a mid-1950s spike in atmospheric fallout (mass depth 42–45 g cm<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>); (ii) the 1963 peak in fallout (mass depth 35 g cm<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), which is also the first detectable activity concentration of <inline-formula><mml:math id="M191" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> linked predominantly to global fallout (Bunzl et al., 1995); and finally (iii), at mass depth ca 10–12 g cm<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, increased <inline-formula><mml:math id="M193" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> activity concentration associated with fallout from the Chernobyl nuclear accident (Olszewski et al., 2018). Within this well-constrained geochronological framework (Fig. 8c), it can be seen that sedimentation rates (Fig. 8d) were significantly reduced c. 50 years ago, reflecting the post-1959 formation of Frontsjön following terminus retreat (Karlén, 1973), and subsequent “piracy” of proglacial waters from Isfallssjön. A critical question remains about deposition and release of FRNs from the glacial ice during seasonal melt and more recently accelerating retreat due to global warming. The sedimentary data imply a degree of lagged release during the 1960s, with a protracted detection of <inline-formula><mml:math id="M194" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> (0.4 to 0.5 Bq kg<inline-formula><mml:math id="M195" 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 sediment from mass depth of 33 to 26 g cm<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> representing the period 1963 to 1970. This might relate to release by ice or erosion of surficial sediment from the forefield, i.e. a secondary source. <inline-formula><mml:math id="M197" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula> activity concentration was below detectable limits (<inline-formula><mml:math id="M198" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> ca. 1.5 Bq kg<inline-formula><mml:math id="M199" 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>) after 1970, implying that any FRN activity associated with cryoconite has been diluted by other sediment sources during melt, release, and transportation, despite the limited distance between the lake coring site and the glacier.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Implications for downstream environmental quality</title>
      <p id="d1e2964">There has been a considerable research effort in understanding the uptake of
FRNs within flora and fauna, particularly following the 1986 Chernobyl accident. Mosses, lichens, and fungi are environmental matrices known to
efficiently accumulate FRNs (Heinrich, 1992; Steinnes and Njåstad, 1993) and play a crucial role in radionuclide uptake into the food chain, particularly for reindeer and other ruminants (MacDonald et al., 2007). The
effect of deposition of <inline-formula><mml:math id="M200" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> from atmospheric transport following the Chernobyl accident was<?pagebreak page5162?> considerable for reindeer herding in Sweden, Norway, and other northern countries, due to contamination of the
lichen–reindeer–human food chain (Skuterud et al., 2016), and a number of
studies have demonstrated the importance of origin (food source) for
<inline-formula><mml:math id="M201" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> transfer, highlighting the lichen content of diets as a key
control on uptake (Ahman et al., 2001; Skuterud et al., 2004). Despite an
initially rapid drop in <inline-formula><mml:math id="M202" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> in reindeer tissue in Sweden
post-Chernobyl (Ahman and Ahman, 1994), concerns around the long-term
impacts of exposure to fallout remain. A recent testing campaign by the
Swedish Radiation Safety Authority revealed levels of <inline-formula><mml:math id="M203" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> of up to 39 706 Bq kg<inline-formula><mml:math id="M204" 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 wild boar in 2017–2018, with as many as 30 % of 229 boar tested exceeding the Swedish limit for meat consumption of 1500 Bq kg<inline-formula><mml:math id="M205" 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> (Strålsäkerhetsmyndigheten, 2020). The uptake of
<inline-formula><mml:math id="M206" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> by lichens and fungi is likely contributing to this persistence of high levels of radioactivity in boar, in addition to the migration of boar into regions affected by Chernobyl. It has been suggested that areas with previous <inline-formula><mml:math id="M207" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> contamination may augment <inline-formula><mml:math id="M208" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> transfer within the food chain following future contamination events due to the existing <inline-formula><mml:math id="M209" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> burden in soils (Ahman et al., 2001). The presence of radionuclides in proglacial sediments in response to ongoing glacial retreat and down-wasting could thus pose an emerging threat for ecosystem health, with the possibility of a knock-on socio-economic impact due to the health considerations of animal–human transfer and stringent controls on limits for sale of produce for human consumption (Kristersson et al., 2017).</p>
      <p id="d1e3088">The levels of <inline-formula><mml:math id="M210" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula> detected in cryoconite on Isfallsglaciären are exceptionally high. Indeed, to the best of our knowledge they are some of
the highest activity concentrations found in natural environmental matrices
outside of nuclear exclusion zones. In light of our findings, and the similarly elevated levels of FRNs detected in cryoconite in other regions of
the cryosphere, we recommend an increased research focus on this poorly
understood contributor to contamination in proglacial environments, particularly in light of a continued trend of glacier mass loss and meltwater production. We identify a need to establish the presence of FRNs in glacial sediments across a wider spatial range, with a particular focus on regions where glacial meltwater is crucial to downstream water and food security, including the Andes and Himalayas. To more fully understand any potential impact of secondary FRN contamination with glacier retreat, the total mass of cryoconite in glacier catchments must also be considered when assessing whether FRNs are likely to pose any threat to downstream ecosystems. Distribution of hotspots in proglacial environments, and the concentrations of FRNs in downstream sediment sinks, must also be better constrained in order to evaluate implications for both aquatic and terrestrial fauna. Furthermore, we recommend that the bioavailability of FRNs in glacial sediments, including cryoconite, is assessed to understand whether the presence of FRNs in these settings can be taken up in the food chain to levels which are potentially harmful to fauna or for human consumption, or whether downstream dilution and distribution render these harmless. While the risk to distal communities is almost certainly low due to the dilution in rivers, fragile, pioneering ecosystems in newly exposed proglacial zones are more likely to accumulate radionuclides from meltwater and cryoconite transfer and may be candidates for monitoring to evaluate risk to local fauna.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e3113">A holistic view of the distribution of radionuclide activities within a glacier catchment, including both the supraglacial and proglacial domains,
is described here for the first time. Our study supports that FRNs are
accumulated through their interaction with snow, meltwater, and cryoconite,
resulting in activity levels in the supraglacial environment that are up to
2 orders of magnitude above those found in the proglacial area. The study
sheds light on the influence of authigenic organic matter on radionuclide
capture from meltwater in situ in cryoconite, while the presence of <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> suggests recent accumulation of radionuclides in cryoconite through interaction with a regular supply of meltwater transporting legacy
contaminants melting out of snow and ice up-glacier. In addition to describing levels of FRN activity in the supraglacial and proglacial environments, geochronological analysis of downstream sedimentary archives
illustrates the melt and sedimentation history of the Isfallsglaciären
catchment. The application of nuclear techniques to proglacial lake core
chronologies can provide insight into both temporal variability in historical deposition and transport of FRNs and how proglacial sediment accumulation has changed in response to both glacier retreat and a changing flux of meltwater production, both of which have important implications for mitigating downstream impacts of climate change.</p>
      <p id="d1e3128">Continued glacier retreat will result in further transport of FRNs into the
downstream environment through meltwater and sediment flow pathways, but
potentially also through direct deposition in the proglacial area under conditions of glacier down-wasting. Such secondary contamination events,
resulting from the release of legacy contaminants stored in snow, ice, and
cryoconite, may compound the issue of elevated FRN levels found in other
environmental matrices such as lichens, mosses, and fungi, which are common in recently deglaciated terrain and known to impact the fauna for whom these
are a key food source. This research highlights a need to evaluate not only
the activity levels of FRNs in the supraglacial and proglacial environments
but also their total mass and spatial distribution and whether FRNs in the
proglacial environment are taken up in the food chain in quantities that are
potentially harmful. This may, or may not, present an emerging environmental
threat to terrestrial and aquatic ecosystems downstream of glaciers. To address this, we recommend an interdisciplinary approach to future research
in this field to assess not only the distribution and<?pagebreak page5163?> variability in FRN levels in glaciers, but also the socio-environmental impact of changing
quality of glacier-fed waters. In the case of Isfallsglaciären and the
wider Kebnekaise area, a priority emerging from our work is to evaluate the
potential impacts on FRN uptake in proglacial vegetation, and on grazing
fauna such as reindeer, and the wider impact, if any, upon local Sami economy and culture. A continued effort is required to further evaluate the prevalence and spatial variation in both FRNs and other contaminants across the global cryosphere and to better understand both the processes of contaminant accumulation in the supraglacial environment and the downstream
impacts of secondary contaminant release.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title>Tables referred to in text</title>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T1"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e3146">Comparison of radionuclide activity concentrations (<inline-formula><mml:math id="M212" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula> counting error) in IAEA worldwide proficiency test soils compared with those measured in the laboratory during this study (<inline-formula><mml:math id="M213" 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>). The measured values are all within the acceptable IAEA statistical criteria.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Radionuclide</oasis:entry>
         <oasis:entry colname="col2">IAEA activity</oasis:entry>
         <oasis:entry colname="col3">Measured</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">concentration,</oasis:entry>
         <oasis:entry colname="col3">activity</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Bq kg<inline-formula><mml:math id="M214" 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="col3">concentration,</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Bq kg<inline-formula><mml:math id="M215" 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:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">IAEA moss soil (IAEA-CU-2009-03) </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M216" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mn mathvariant="normal">424</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mn mathvariant="normal">457</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M219" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">214</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mn mathvariant="normal">26.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:mn mathvariant="normal">22.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M222" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">226</mml:mn></mml:msup><mml:mi mathvariant="normal">Ra</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:mn mathvariant="normal">25.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:mn mathvariant="normal">22.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">IAEA soil (IAEA-TEL-2012-03) </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M225" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:mn mathvariant="normal">118.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M227" display="inline"><mml:mrow><mml:mn mathvariant="normal">119</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M228" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:mn mathvariant="normal">573</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M230" display="inline"><mml:mrow><mml:mn mathvariant="normal">642</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M231" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.78</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.97</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.37</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T2"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{A2}?><label>Table A2</label><caption><p id="d1e3521">Activity concentrations (<inline-formula><mml:math id="M234" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula> counting error) of selected
radionuclides for sediment sources within the Isfallsglaciären catchment (Bq kg<inline-formula><mml:math id="M235" 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>). Values in parentheses represent the lowest recorded value above MDA (minimum detectable activity).</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="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:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Cryoconite</oasis:entry>
         <oasis:entry colname="col3">Moraines</oasis:entry>
         <oasis:entry colname="col4">Proglacial</oasis:entry>
         <oasis:entry colname="col5">Central</oasis:entry>
         <oasis:entry colname="col6">Lake core</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(<inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col3">(<inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">outwash</oasis:entry>
         <oasis:entry colname="col5">forefield</oasis:entry>
         <oasis:entry colname="col6">(<inline-formula><mml:math id="M245" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">38</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(<inline-formula><mml:math id="M246" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">11</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5">(<inline-formula><mml:math id="M247" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Mean <inline-formula><mml:math id="M248" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mi mathvariant="normal">un</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msubsup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:mn mathvariant="normal">9780</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">780</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:mn mathvariant="normal">26.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">11.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M252" display="inline"><mml:mrow><mml:mn mathvariant="normal">44.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">MDA (<inline-formula><mml:math id="M253" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">11.7</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M254" display="inline"><mml:mrow><mml:mn mathvariant="normal">23.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maximum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M255" display="inline"><mml:mrow><mml:mn mathvariant="normal">14</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">700</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1170</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M256" display="inline"><mml:mrow><mml:mn mathvariant="normal">73.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">12.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:mn mathvariant="normal">87.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M258" display="inline"><mml:mrow><mml:mn mathvariant="normal">125</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">24</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Minimum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:mn mathvariant="normal">5760</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">467</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">MDA (<inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">11.2</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">MDA (<inline-formula><mml:math id="M262" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean <inline-formula><mml:math id="M263" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:mn mathvariant="normal">3070</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">940</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M265" display="inline"><mml:mrow><mml:mn mathvariant="normal">36.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">66.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M266" display="inline"><mml:mrow><mml:mn mathvariant="normal">10.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M267" display="inline"><mml:mrow><mml:mn mathvariant="normal">25.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">11.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maximum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:mn mathvariant="normal">4530</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">350</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:mn mathvariant="normal">207.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mn mathvariant="normal">18.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.11</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:mn mathvariant="normal">50.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Minimum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:mn mathvariant="normal">1010</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">79</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">MDA (<inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1.27</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M275" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M276" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.36</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">MDA (<inline-formula><mml:math id="M277" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">2.2</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean <inline-formula><mml:math id="M278" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:mn mathvariant="normal">25.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">16.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">MDA (<inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1.57</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">MDA (<inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1.14</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5">MDA (<inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.98</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M283" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maximum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:mn mathvariant="normal">74.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Minimum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M286" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.10</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">MDA (<inline-formula><mml:math id="M287" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean <inline-formula><mml:math id="M288" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M289" display="inline"><mml:mrow><mml:mn mathvariant="normal">1840</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">168</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mn mathvariant="normal">800</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">67</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mn mathvariant="normal">708</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">47</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:mn mathvariant="normal">807</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">65</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maximum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:mn mathvariant="normal">2050</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">207</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mn mathvariant="normal">943</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">89</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:mn mathvariant="normal">816</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M296" display="inline"><mml:mrow><mml:mn mathvariant="normal">807</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">71</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:mn mathvariant="normal">928</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">89</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Minimum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mn mathvariant="normal">1540</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">138</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M299" display="inline"><mml:mrow><mml:mn mathvariant="normal">728</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">69</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M300" display="inline"><mml:mrow><mml:mn mathvariant="normal">649</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">59</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M301" display="inline"><mml:mrow><mml:mn mathvariant="normal">748</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">68</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:mn mathvariant="normal">560</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">63</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mean <inline-formula><mml:math id="M303" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M304" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M305" display="inline"><mml:mrow><mml:mn mathvariant="normal">1010</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">600</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">MDA (<inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">46.5</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:mn mathvariant="normal">94.3</mml:mn><mml:mo>±</mml:mo><mml:msup><mml:mn mathvariant="normal">45.5</mml:mn><mml:mi mathvariant="normal">c</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">MDA (<inline-formula><mml:math id="M308" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">37.1</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maximum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M309" display="inline"><mml:mrow><mml:mn mathvariant="normal">2290</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">307</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:mn mathvariant="normal">132</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">53</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:mn mathvariant="normal">46.4</mml:mn><mml:mo>±</mml:mo><mml:msup><mml:mn mathvariant="normal">13.3</mml:mn><mml:mi mathvariant="normal">c</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Minimum</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:mn mathvariant="normal">273</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">58</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">MDA (<inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">67.2</mml:mn></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">MDA</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e3543"><inline-formula><mml:math id="M236" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">a</mml:mi></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mi mathvariant="normal">un</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow><mml:mi mathvariant="normal">Total</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">214</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math id="M238" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">b</mml:mi></mml:msup></mml:math></inline-formula> The samples were collected between 7–17 August 2017 and their analysis started 29 August 2017. <inline-formula><mml:math id="M239" display="inline"><mml:msup><mml:mi/><mml:mi mathvariant="normal">c</mml:mi></mml:msup></mml:math></inline-formula> Only <inline-formula><mml:math id="M240" 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> proglacial samples gave a <inline-formula><mml:math id="M241" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> signal, and <inline-formula><mml:math id="M242" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula> was only detected in the top 1 cm section of the lake core.</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T3"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{A3}?><label>Table A3</label><caption><p id="d1e4800">Mean (<inline-formula><mml:math id="M314" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> SD) concentrations of selected metals (mg kg<inline-formula><mml:math id="M315" 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 cryoconite samples (<inline-formula><mml:math id="M316" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula>) from the Isfallsglaciären and their enrichment factors. The sample concentrations are compared with the probable effect level (PEL) from the sediment quality guidelines (CCME, 1995).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <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="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Cr</oasis:entry>
         <oasis:entry colname="col3">Cu</oasis:entry>
         <oasis:entry colname="col4">Fe</oasis:entry>
         <oasis:entry colname="col5">Ni</oasis:entry>
         <oasis:entry colname="col6">Pb</oasis:entry>
         <oasis:entry colname="col7">Ti</oasis:entry>
         <oasis:entry colname="col8">Zn</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Concentration, mg kg<inline-formula><mml:math id="M317" 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="col2"><inline-formula><mml:math id="M318" display="inline"><mml:mrow><mml:mn mathvariant="normal">212</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">27</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M319" display="inline"><mml:mrow><mml:mn mathvariant="normal">155</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">63</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:mn mathvariant="normal">73</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">700</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2650</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M321" display="inline"><mml:mrow><mml:mn mathvariant="normal">127</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M322" display="inline"><mml:mrow><mml:mn mathvariant="normal">215</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">51</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:mn mathvariant="normal">7440</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">350</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:mn mathvariant="normal">155</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Enrichment factors (EF)</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M325" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M326" display="inline"><mml:mrow><mml:mn mathvariant="normal">14.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M327" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M328" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M329" display="inline"><mml:mrow><mml:mn mathvariant="normal">17.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M330" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M331" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SQG PEL, mg kg<inline-formula><mml:math id="M332" 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="col2">160</oasis:entry>
         <oasis:entry colname="col3">108</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">42.8</oasis:entry>
         <oasis:entry colname="col6">112</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">271</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{h!}?><table-wrap id="App1.Ch1.S1.T4"><?xmltex \hack{\hsize\textwidth}?><?xmltex \currentcnt{A4}?><label>Table A4</label><caption><p id="d1e5145">Eigenvectors for principal components 1 to 5 from PCA of cryoconite data including gamma spectrometry (<inline-formula><mml:math id="M333" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M334" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M335" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M336" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M337" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula>), stable isotope analysis (% N, % C, <inline-formula><mml:math id="M338" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M339" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula>), and surface area-weighted particle size (D [3, 2]). The variables that have the largest effect on each principal component are in bold.</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="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:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">PC1</oasis:entry>
         <oasis:entry colname="col3">PC2</oasis:entry>
         <oasis:entry colname="col4">PC3</oasis:entry>
         <oasis:entry colname="col5">PC4</oasis:entry>
         <oasis:entry colname="col6">PC5</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">% C</oasis:entry>
         <oasis:entry colname="col2"><bold>0.409</bold></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M340" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.142</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.277</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M341" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.25</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">0.003</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">% N</oasis:entry>
         <oasis:entry colname="col2"><bold>0.431</bold></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M342" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.112</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M343" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.001</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M344" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.33</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">0.015</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M345" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">137</mml:mn></mml:msup><mml:mi mathvariant="normal">Cs</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.367</oasis:entry>
         <oasis:entry colname="col3">0.076</oasis:entry>
         <oasis:entry colname="col4">0.397</oasis:entry>
         <oasis:entry colname="col5">0.107</oasis:entry>
         <oasis:entry colname="col6">0.475</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M346" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">210</mml:mn></mml:msup><mml:mi mathvariant="normal">Pb</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.36</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M347" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.224</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.079</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M348" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.326</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><bold>–0.494</bold></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M349" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">241</mml:mn></mml:msup><mml:mi mathvariant="normal">Am</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.323</oasis:entry>
         <oasis:entry colname="col3">0.405</oasis:entry>
         <oasis:entry colname="col4">0.04</oasis:entry>
         <oasis:entry colname="col5">0.339</oasis:entry>
         <oasis:entry colname="col6">0.046</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M350" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">40</mml:mn></mml:msup><mml:mi mathvariant="normal">K</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.312</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.173</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.072</oasis:entry>
         <oasis:entry colname="col5"><bold>0.746</bold></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M352" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.372</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M353" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.241</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M354" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.116</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><bold>–0.731</bold></oasis:entry>
         <oasis:entry colname="col5">0.062</oasis:entry>
         <oasis:entry colname="col6">0.169</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">D <inline-formula><mml:math id="M355" display="inline"><mml:mo>[</mml:mo></mml:math></inline-formula>3, 2<inline-formula><mml:math id="M356" display="inline"><mml:mo>]</mml:mo></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.182</oasis:entry>
         <oasis:entry colname="col3"><bold>0.516</bold></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M357" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.319</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.136</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M359" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.411</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M360" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M361" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.227</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M362" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.472</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0.103</oasis:entry>
         <oasis:entry colname="col5">0.106</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M363" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.312</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M364" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.196</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M365" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.464</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M366" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.327</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">0.073</oasis:entry>
         <oasis:entry colname="col6">0.308</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?>
</app>
  </app-group><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e5742">Gamma spectrometry, XRF, stable isotope, and particle size analysis data are all available via Pangaea (<ext-link xlink:href="https://doi.org/10.1594/PANGAEA.935336" ext-link-type="DOI">10.1594/PANGAEA.935336</ext-link>, Clason, 2021).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e5751">CCC, WHB, and SCM devised the study; CCC and NS conducted field sampling. CCC, GEM, AT, and JK conducted preparation and analysis of the samples. PB designed the organic analytical work programme. CCC and WHB led interpretation of the data, and all authors contributed to preparation of the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e5757">The contact author has declared that neither they nor their co-authors have any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e5763">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e5769">We thank Richard Hartley at the University of Plymouth for his help with
particle size analysis and Katja Van Nieuland at Ghent University for
conducting bulk stable isotope analysis. Sample collection was funded by an
INTERACT Transnational Access grant awarded to Caroline C. Clason, and we thank the staff of Tarfala Research Station for providing logistical support during our fieldwork.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e5774">This research has been supported by an INTERACT Transnational Access grant (“GRASP: Glacier Recession as a Source of Environmental Pollutants”).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e5780">This paper was edited by Elizabeth Bagshaw and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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