Remote monitoring of evapotranspiration from green roof systems
Bibliographic record
Abstract
Green roofs are rapidly becoming ubiquitous tools for stormwater management in the urban setting for their ability to divert water from centralized treatment plants and support natural water cycles. In doing so, the performance of a green roof system is dependent on the process of evapotranspiration, which is a function of microclimatic conditions. The work herein presents a remote monitoring architecture for measurement of evapotranspiration performance from a variety of different green roof topologies in an urban setting. The data acquisition system employs an i2c bus to coordinate an array of loads cells, controlled by a central microcomputer which is WIFI connected and cloud interactive. Resulting datasets will contribute to the refinement of agricultural evapotranspiration models towards green roof applications, as well as the characterization of design and microclimate related performance impacts. Preliminary results indicate reliable functionality and data quality from the remote monitoring system. This outcome supports the value of active instrumentation and performance monitoring to the advancement of green roof technology. Going forward, post-processing methods will be expanded, and the system will be applied to additional green roof topologies for the 2021 growing season.
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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".