Impact of climate change on the winter regime of the Peace River in Alberta
Bibliographic record
Abstract
The effect of climate change on natural processes in the environment can be very difficult to quantify and is often of great interest to regulators and users of water resources in particular.River ice conditions along the Peace River in Alberta directly affect both the population and industries in its vicinity.As the Peace River is regulated for hydropower generation, there is a degree of human influence over the variables that determine the winter regime of the river.The purpose of this investigation was to develop a model capable of simulating thermal ice processes on northern rivers, which could, in turn, provide a means of assessing climate change effects on river ice.The Peace River was a good case study for this research because of upstream flow regulation at the Bennett and Peace Canyon Dams in British Columbia, and the existence of a comprehensive monitoring database containing much of the data needed to run a thermal river ice model.The RiverlD thermal model was applied to the historical record for the Peace River, and results showed good agreement with water temperature measurements taken in recent years at the town of Peace River and Peace River at Alces gauge sites.The day that the zero degree isotherm reaches both locations is well represented in the simulation results, indicating that the transport and exchange of the river's heat energy is being modeled adequately.Data for the past twenty winter seasons on record (1984/85 through 2003/04) were used to assess the model's ability to simulate the progression and recession of the ice front from a downstream boundary at Fort Vermilion, Alberta (829 km downstream of the Bennett Dam).At its current stage of development, the model is considered to return reasonably accurate profiles of ice front location throughout the winter season, compared to the recorded observations.A further objective of this project was to illustrate the potential use of the model for assessing potential climate change impacts of the thermal ice regime of regulated rivers.For this purpose, the Coupled Global Climate Model (CGCM2) "A2" climate change scenario was used to adjust the historical air temperature record and simulate corresponding ice front profiles based on conditions predicted in the year 2050.Results suggest that there is a significant potential for a reduced ice covered season under the climate change scenario investigated.Specifically, the model suggests a 3 3 -day reduction in the duration of ice cover at the town of Peace River.In addition, the simulated maximum ice cover extent was an average of 66 km shorter after climate change, compared to the historical simulation results.These results are, of course, preliminary at this stage as there are factors yet to consider.For example, the effects of climate change on bridging date and on the reservoir outflow temperatures need further examination.In terms of the model itself, dynamics processes such as ice cover consolidation must next be incorporated.Thus the climate change predictions should be considered qualitative indications only.Nevertheless, these results do indicate a significant potential for impact, and adaptive strategies should be considered.Models, such as the one developed here, are ideal tools for such investigations. Impact of Climate Change on the Winter Regime of the Peace River in Alberta i
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".