Evaluation of Post-Construction Changes in Soil Hydraulic Properties through Field Instrumentation and In Situ Testing
Bibliographic record
Abstract
The hydrologic performance of evapotranspiration (ET) cover system for waste containment is significantly influenced by the hydraulic characteristics of cover soil such as saturated hydraulic conductivity (Ks), unsaturated hydraulic conductivity (KΨ), and soil water characteristic curve (SWCC). Due to environmental and field exposure conditions like freeze-thaw effect, wetting and drying cycle, plant root growth and death, along with animal and insect burrowing, these hydraulic properties of cover soil are highly susceptible to variation. Therefore, assessment of the changes in these soil hydraulic properties is vital for the evaluation of long-term cover performance. In this study, the hydraulic properties of ET cover soil were evaluated for three years of environmental and field exposure. The uniqueness of this study is highlighted by the non-destructive methodology, as destructive soil sampling was avoided to preserve the integrity of the cover system. Consequently, this study investigates the changes in the soil hydraulic properties based on field instrumentation and in situ testing in large-scale lysimeters constructed in the city of Denton landfill. Moisture and temperature sensors along with tensiometers were installed at the site in planned depth intervals. A Guelph permeameter was used to determine the field saturated hydraulic conductivity. The field investigation results indicated that Ks increased nearly 400 times the initial measurement, Van Genuchten’s α parameter increased by a factor of 41, and the n parameter decreased approximately 1.25 times the laboratory measured values after a three year span of field exposure. The results from this study establish the effect of hydraulic characteristic of soil on the cover hydrology and the potential implications for design considerations for long-term performance of the ET cover system for waste containment.
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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".