Defrosting river banks: morphodynamics and sediment flux
Bibliographic record
Abstract
Climate warming is projected to impact hydrology and change ice-cover periods within river channels in polar and permafrost regions. These changes will impact the duration of freezing, frozen, thawing and unfrozen periods, and will affect sediment transport fluxes, notably through riverbank erosion. However, at present, it is difficult to quantify the long-term combined impacts of soil moisture dynamics, changing ambient air, water and ground temperatures and the subsequent rates of thawing and freezing on the fluvial bank erosion processes. Herein we present a series of 130 laboratory experiments conducted in a novel cryolab morphology facility using a small-scale Friedkin channel. These cryolab flume experiments aim to assess the influence of flow velocity, soil moisture content and temperature of the sediment on riverbank stability with varying ambient air and water temperatures and flow discharges. The riverbank characteristics in the experiments, including sediment grain size, soil moisture and soil temperature, are based on observations from the sub-artic River Pulmankijoki (Finland) during different seasons. The sediment bank blocks (2 cm high) were prepared for each experiment the day before and kept in the cryolab facility overnight to match ambient air temperatures. The topography was measured before and after each experiment, using an array of images collected via a semi-automatic Canon camera. Surface models were produced with structure from motion and volumetric changes were calculated. GoPro cameras filmed videos of bank evolution to determine higher temporal records of bank edge retreat through the experiments. Buoyant sequins were seeded at the start and end of each experiment in order to calculate the surface flow velocities using a particle tracking velocimetry method. A FLIR A655 infrared thermal camera was used to aid understanding the thermal transfers between the flow and the bank. Results show that the water level had more impact on bank erosion than flow velocities, as at low discharges the full bank height of the channel was less exposed to flow shear. Most critically, the volumetric erosion rate was found to have a non-linear correlation with the air temperature, being highest with an air temperature of 7.0°C (water temperature 7.2°C) and second highest with an air temperature of -2.1°C (water temperature 3.2°C). Conversely the lowest erosion rates occurred at an ambient temperature of -15°C. Erosion occurred as chucks at +1.7 – +3.2°C water temperatures, if the moisture content was high enough, i.e. 18.9% or more, for the sediment block to be frozen. High moisture contents also slowed the heating effect of the flowing water, which propagated through the bank at a lower rate. With the lower soil moisture conditions of 1.1–10.0%, there was not sufficient water within the block to allow it to freeze as a unit. Under such conditions the block acts as loose sediment, and as a consequence water and ambient temperatures have less influence on the erosion rate. These findings have a suite of implications for morphodynamic responses of river channels across defrosting landscapes, which will alter hydrology and sediment fluxes in highly sensitive environments as climate warms into the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".