PRIVATE LOT FLOOD PEAK ATTENUATION BY STORMWATER DETENTION TANKS
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
Changes in the hydrological cycle due to climate change and urbanization augment and accelerate runoff and flooding, degrade the urban environment, and cause human and material losses. Thus, it is important to implement measures that ensure urban hydrological conditions are kept as close as possible to pre-urbanization conditions, preventing floods. In addition to the conventional major and minor systems, cities may establish criteria for percentage of permeable area as well as stormwater management practices such as stormwater detention tanks, a type of low impact development technology (LID). The present study evaluates the adequacy of current practices in private lot detention tank design. It analyses time to empty, total detention time and flood peak abatement provided by detention tanks designed according to Curitiba's (Brazil) Bylaw 176/2007. Based on the results obtained, modifications were suggested to existing legislation to increase the efficiency of the detention tanks and, thus, reduce urban flooding and adapt to climate change. The proposed methodology can be applied elsewhere to guide detention tank design.
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 | 0.001 | 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