Modeling Soil Moisture Redistribution and Infiltration Dynamics in Urban Drainage Systems
Bibliographic record
Abstract
Hydrological modeling has become a common approach for the design of stormwater management strategies, which increasingly rely on permeable and decentralized systems in order to mitigate the impacts of urbanization. In most applications, little attention is paid to the temporal variability of infiltration fluxes resulting from soil moisture redistribution between rain events. In this paper, a conceptual infiltration-redistribution model is introduced to investigate the importance of the description of infiltration fluxes for the modeling of sustainable urban drainage systems (SUDS). The model was first verified against the numerical solution of the Richards equation. Performance indicators simulated with the model for a large range of infiltration scenarios were then compared to those obtained using simpler approaches commonly used in urban hydrology. The model was shown to replicate, at a low computational cost, numerical solutions of the Richards equation. Regarding SUDS modeling, the results indicated that a correct description of the temporal variability of infiltration fluxes (1) may be needed for some configurations in order to assess long-term volume-reduction efficiencies, and (2) is more generally required when examining frequency-based performance indicators.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".