Sustainable urban drainage approach, focusing on lid techniques, applied to the design of new housing subdivisions in the context of a growing city
Bibliographic record
Abstract
City growth must be carefully planned, in order to deal with the relevant hydrological changes, caused by urbanisation effects. Frequently, the increasing of the impervious surface areas is the major cause of urban fl oods aggravation. For this reason, new urban drainage design concepts have been researched in the recent decades, looking for a more sustainable stormwater management approach. The concept of sustainability in urban drainage implies that fl oods may not be transferred to downstream and that drainage systems must be planned considering urban development along time. Storage and infi ltration measures, distributed over the watershed and integrated with urban landscape, should be introduced to reduce fl ood peaks and reorganise fl ood fl ow patterns. Following this path, the concept of low impact development (LID) may be a reference for urban drainage projects of new housing subdivisions. This concept tends to produce built environments with minor hydrological changes, trying to preserve or recover natural fl ow conditions prior to the urbanisation. In this context, this paper aims to discuss the problems related to urban fl ood in a conceptual, but practical, perspective, comparing different alternatives of drainage design for urban areas in a development process. In particular, a case study in the neighbourhood of Guaratiba, at Rio de Janeiro City, Brazil, will be developed. This region is under an increasing urban growth pressure, but it is still possible to plan and design an alternative occupation. Basically, two approaches were compared: a traditional end of pipe design concept and an alternative sustainable design approach, based on the LID concept. The effects of the LID fl ood control measures were analysed and compared, applied in both public and private areas of a new urban subdivision project. A critical storm event was considered for the local scale and for Cabuu River, which is the receiving water body for the local drainage system. The combined use of infi ltration and storage measures was able to recover fl ood peaks. The pre-urbanisation values were approximately reproduced, both for the local and the basin scales, although peak times were not recovered.
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.
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 | 0.003 | 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 | 0.001 | 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".