Thermal Enrichment of Stream Temperature by Urban Storm Waters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper reviews and models thermal enrichment of an urban stream due to storm water. The study area is in the city of Portage, Michigan, which drains into Portage Creek through the Consolidated Drain. Continuous temperature has been monitored for the last year and half. Results suggest that pavement runoff affects the stream temperature. Portage Creek is a cold water habitat for fish such as trout. Temperature is one of the water quality parameters that affect cold water aquatic habitats. Especially during summer, impervious surfaces heat and rainwater carries heat to the streams. This phenomenon has not been previously modeled. The paper develops the concepts of heat flux between runoff and its surrounding, such as heat flux between runoff and the paving, paving and the substrate, rain drops and the paving, and runoff water and atmosphere etc. These processes include wet and dry conditions, time of the day and night, and conditions before rain, during rain, and after rain. A simplified spreadsheet model to simulate the heat budget for runoff from urban pavement is presented. The model requires detailed inputs for urban runoff at a fine time step. PCSWMM is used to simulate runoff and provide input to the thermal enrichment model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.013 | 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 it