Simulation of the hydrological processes on reconstructed watersheds using system dynamics
Why this work is in the frame
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Bibliographic record
Abstract
Reconstruction of disturbed watersheds is a common practice by the oil sands industry in northern Alberta, Canada.The reconstruction and restoration of the watershed hydrology are required as part of the reclamation mandated by Alberta Environment for mine closure.Assessment of the hydrological performance of the reconstructed watersheds is essential to ensure a sustainable reclamation strategy.A conceptual lumped system dynamics watershed (SDW) model is developed and calibrated in this study.The model, built within an object-based simulation environment, is capable of simulating the various hydrological processes in the reconstructed watersheds with good accuracy.STELLA Software is used as an object-based simulation environment that allows visual computations.The SDW model developed combines both physically-based and empirical formulations to replicate the hydrological system mathematically.The system dynamics approach along with the visual simulation environment help in developing a simulation-for-learning model, not only simulation for prediction.The model is successfully calibrated and validated; the results show that the SDW model is capable of simulating the various hydrological processes (soil moisture, evapotranspiration and runoff) with good accuracy.The SDW model can help in the assessment of the short-and long-term performances of the reconstructed watersheds, thus providing a useful decision-aid tool for the mining industry.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it