Assessing the Effects of Historical Land Cover Changes on Runoff and Low Flows Using Remote Sensing and Hydrological Modeling
Bibliographic record
Abstract
In some parts of the world, watersheds are experiencing changes in land cover that affect their hydrological regime. This paper presents a methodology to assess the potential hydrological response of the Chaudière River watershed (Québec) to historical land cover changes. The objectives of this study are: (1) to determine acceptable and plausible land cover scenarios for the past 30years based on spatial scenario intercomparison and land cover evolution analyses; and (2) to assess the influence of land cover changes on the hydrological regime of the watershed. Historical land cover changes were assessed from seven optical satellite images using an object-oriented approach. Each scenario was entered into GIBSI, an integrated modeling system. Hydrological simulations showed strong correlations between land cover changes and water discharge at the outlet of the watershed. Results demonstrated a homogeneous effect of land cover on annual runoff. Simulated annual and seasonal low flows were also strongly correlated to agricultural and forested land cover changes. Globally, results corroborate that land cover constitutes a governing factor of watershed hydrology in the Chaudière River watershed.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".