Thermohydromechanical Modeling of Evaporation from Unsaturated Soil
Bibliographic record
Abstract
The accelerating pace of development due to groundwater overwithdrawal throughout the world places increasing demands on the unsaturated zone. Estimating evaporation from unsaturated soil has been important for many geotechnical and geoenvironmental applications. As an example, the long-term performance of soil covers, which are widely used in mining and landfill applications to protect the environment, depends on evaporation from their surfaces. Evaporation, in turn, depends on moisture flow within an unsaturated soil mass, which is generally coupled with heat flow. Evaporation also depends on the void ratio and hydraulic and air conductivities of soil, which are, in turn, affected by stress and strain and the resulting soil settlement. As a result, a thermohydromechanical (THM) analysis for predicting evaporation is necessary. A two-dimensional (2D) finite-element program, θ-Stock, can perform THM analysis of unsaturated soil but works only within the soil, not in the atmosphere above the soil. In this study, a 2D model of soil–atmosphere interaction employing atmospheric coupling and using a modified Penman equation was implanted in θ-Stock to develop program EVAP1, which numerically estimates potential and actual evaporation from unsaturated soil using THM analysis. Because of the coupled character of the phenomena, the boundary conditions were determined by the soil state and the environmental data. The program EVAP1 was verified with published experimental and numerical studies on evaporation. The results of analyses using the verified program showed that neglecting THM behavior, and hence soil settlement, leads to an overestimation of evaporation from unsaturated soil surfaces.
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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".