Coupling water flow and solute transport in a catchment scalehydrological model
Bibliographic record
Abstract
A physically-based distributed hydrological model simulating complex surface– \nsubsurface flow and transport interactions is presented. The subsurface component is \nmodeled by the three-dimensional Richards equation for flow and the classical advection- \ndispersion-reaction equation for transport, solved using finite element/finite volume tech- \nniques. The surface model is based on a path-based (rill flow) diffusion wave equation \nfor both flow and transport, solved using a Muskingum-Cunge scheme. The path-based \nparadigm, together with Leopold and Maddock scaling relations for hydraulic parameter- \nization, allow the same surface model to be used for both overland and channel dynamics. \nA novel approach for resolution of the interactions of water across the land surface, based \non a boundary condition switching algorithm, is extended to the solute flux exchanges. \nThe use of a high resolution finite volume scheme for the advective component of subsur- \nface transport introduces minimal numerical diffusion even in the absence of physical dis- \npersion. An application to the Abdul and Gillham sandbox experiment [1] is presented to \nillustrate the abilities of the model and to demonstrate the influence of surface–subsurface \ndiffusive exchanges on the tracer dynamics of this particular system.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".