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Record W4392584149 · doi:10.5194/egusphere-egu24-6537

Climate Change Impacts on Active Zone Groundwater Dynamics in the High Arctic, Canada

2024· preprint· en· W4392584149 on OpenAlexaffabout
Selsey Stribling, Jeffrey M. McKenzie, Pierrick Lamontagne‐Hallé, Nathaniel Novosad, Dylan Hemmings, Tom MacNeil

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsStantec (Canada)McGill University
Fundersnot available
KeywordsGroundwaterArcticClimate changeEnvironmental scienceThe arcticOceanographyGeographyWater resource managementPhysical geographyClimatologyEnvironmental resource managementGeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

With Arctic amplification, the rate of Arctic warming is estimated to be between two to four times greater than at lower latitudes. Northern warming is leading to environmental change, including permafrost thaw and changes in groundwater flow due to alterations in the timing and the depth of the active zone. Research suggests that, due to permafrost degradation and concomitant increased groundwater mobility, exfiltration to northern groundwater-fed lakes may increase with continued warming. Many parts of the terrestrial Arctic are experiencing warming and increased precipitation, both of which affect both the annual timing of formation and depth of the active zone, thereby controlling the amount of water that may be transmitted through the shallow subsurface. The objective of our research is to use a numerical modeling approach to disentangle the effects of changes in precipitation and warming for a site in the Canadian High Arctic (63°30′N).Through an archetypal modeling approach for a site with limited field data, we use SUTRA 4.0 to simulate groundwater flow and energy transport with dynamic freeze-thaw processes. To assess active layer zone changes, we simulate a two-dimensional 280 m long hill underlain by continuous permafrost that terminates in a lake. The site has thin unconsolidated overburden on bedrock, with current depth to permafrost between 1.3 m and 2.2 m. We simulate four cases using downscaled CMIP5 projections: modern conditions, near climate (2020s), mid-climate (2050s), and far-climate projection (2080s). The climate projects show increasing annual mean temperatures, decreasing annual temperature amplitude, and increasing precipitation. The groundwater model results primarily focus on the groundwater flux to the lake, as it integrates the flows across the entire system. The results show that there will be increasing flows of groundwater to the lake due to climate change. Further, the increase in mean annual temperature (as opposed to increased precipitation) and associated annual development of the active zone is the primary control on groundwater flow through the system. With warming, the active zone deepens and opens for a longer period each year, allowing for more groundwater flow, particularly during snowmelt.Understanding active zone changes and groundwater in the Arctic allows us to better assess potential future hydrologic changes and discharge into northern lakes. The results from this study have implications for the potential transport and fate of anthropogenic and geogenic contaminants in Northern environments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.245
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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