2017
DOI: 10.1002/hyp.11191
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Evaluating the hydrological and hydrochemical responses of a High Arctic catchment during an exceptionally warm summer

Abstract: The Arctic has experienced substantial warming during the past century with models projecting continued warming accompanied by increases in summer precipitation for most regions. A key impact of increasing air surface temperatures is the deepening of the active layer, which is expected to alter hydrological processes and pathways. The aim of this study was to determine how one of the warmest and wettest summers in the past decade at a High Arctic watershed impacted water infiltration and storage in deeply thaw… Show more

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Cited by 42 publications
(36 citation statements)
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“…The lower relative proportion of the "long-residence time" end-member (Figure 4), lower ionic strength, lower ( 234 U/ 238 U) ratios and negligible seasonal variation observed in the glaciated catchment ( Figures 2B, 3A) can be explained by the layer of dead ice underneath the sandur (glacial outwash plain, Figure 1, Ziaja and Pipała, 2007), which restricts water to the surface and limits water residence time (Figure 5). A similar "blocking" effect was observed in a Canadian high Arctic catchment where ground ice and ice-rich soil prevented active layer deepening and resulted in lower than expected solute fluxes (Lamhonwah et al, 2017).…”
Section: Uranium Activity Ratios In Solutionsupporting
confidence: 55%
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“…The lower relative proportion of the "long-residence time" end-member (Figure 4), lower ionic strength, lower ( 234 U/ 238 U) ratios and negligible seasonal variation observed in the glaciated catchment ( Figures 2B, 3A) can be explained by the layer of dead ice underneath the sandur (glacial outwash plain, Figure 1, Ziaja and Pipała, 2007), which restricts water to the surface and limits water residence time (Figure 5). A similar "blocking" effect was observed in a Canadian high Arctic catchment where ground ice and ice-rich soil prevented active layer deepening and resulted in lower than expected solute fluxes (Lamhonwah et al, 2017).…”
Section: Uranium Activity Ratios In Solutionsupporting
confidence: 55%
“…At this point further increases in residence time have only a minor impact on chemical concentrations (Maher, 2011). Freezing will also concentrate solutes and thereby increase ionic strength, but as these pockets of water are unlikely to contribute to the stream chemistry until they are flushed out during spring thaw (Kokelj and Burn, 2005;Lamhonwah et al, 2017;Lehn et al, 2017), they can also be considered to have a long residence time. Consistent with the reactive transport model predictions for dilute waters (Maher, 2011), we observe a positive correlation between ionic strength and ( 234 U/ 238 U) ( Figure 3A).…”
Section: Uranium Activity Ratios In Solutionmentioning
confidence: 99%
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“…Ground ice is usually not identified as an important contributor to streamflow in polar desert (Woo & Steer, ). However, late‐season ionic enrichment of streamflow has been measured and attributed to ground ice melt in at least one other High Arctic locations (Lamhonwah, Lafrenière, Lamoureux, & Wolfe, ). In addition, similar late‐season seeps in the McMurdo Dry Valleys, Antarctica, had also been attributed to the melt of ground ice, which was initially formed during snowmelt periods in colder years (Harris, Carey, Lyons, Welch, & Fountain, ).…”
Section: Discussionmentioning
confidence: 99%
“…This makes environmental tracers, particularly stable isotopes, potentially useful tools for hydrological monitoring. Tracers provide integrated insight into the hydrological functioning of catchments and have been used previously to assess water sources and flow paths in Arctic and permafrost settings (Ala‐aho, Soulsby, et al, ; Blaen, Hannah, Brown, & Milner, ; Lamhonwah, Lafrenière, Lamoureux, & Wolfe, ; Obradovic & Sklash, ; Song et al, ; Yi et al, ). In addition to their capacity to quantify water provenance, flow paths, and transit times, tracer studies provide insights for calibration and testing more detailed conceptual and numerical models at different spatial scales (Ala‐aho, Tetzlaff, McNamara, Laudon, & Soulsby, ; Birkel, Soulsby, & Tetzlaff, ; Soulsby et al, ; Stadnyk, Delavau, Kouwen, & Edwards, ; van Huijgevoort, Tetzlaff, Sutanudjaja, & Soulsby, ).…”
Section: Introductionmentioning
confidence: 99%