Impacts et enjeux liés aux changements climatiques en matière de gestion des eaux en milieu urbain
Bibliographic record
Abstract
<p>Un aperçu des enjeux relatifs aux changements climatiques (CC) et à la gestion des eaux en milieu urbain est présenté dans cet article, notamment en matière d’approvisionnement en eau potable et d’assainissement urbain. On montre comment la modification éventuelle des caractéristiques des précipitations, engendrée par les CC, pourra affecter la performance ou le niveau de service des infrastructures urbaines d’eau. Une description des travaux de recherche en cours à l’Institut national de la recherche scientifique (INRS) en vue d’évaluer les impacts possibles des CC sur l’approvisionnement en eau potable et sur l’assainissement urbain est aussi donnée.</p> \n \n<h2>Abstract</h2><p>This paper gives an overview of the issues related to climate change (CC) and to water management in urban areas, especially in terms of potable water supply and urban sewerage systems. It is shown how the possible change in the characteristics of precipitations, associated to CC, could alter the urban water infrastructures’ performance or level of service. Ongoing research projects at the Institut National de la Recherche Scientifique (INRS) on the evaluation of the possible CC impacts on potable water supply and urban drainage are also presented.</p>
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.007 |
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; both teacher heads agree on what is shown here.
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".