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SUDS: New solution for urban flooding

2024· article· en· W4396223310 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied and Computational Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicSmart Cities and Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsFlooding (psychology)Environmental scienceWater resource managementHydrology (agriculture)GeologyPsychologyGeotechnical engineeringPsychotherapist

Abstract

fetched live from OpenAlex

Climate change causing extreme weather events across the world. The excising urban drainage system facing the great stress of managing heavy precipitation events and caused urban flooding. The specialists in the urban designing field are searching for more effective way of managing flooding events. Sustainable Urban Drainage System is kind of drainage system design which simulating nature rainwater managing practices. In this research, the SUDS is analyzed mainly from three aspects: Flood managing ability, economic benefits, and ecological benefits. This research reviews the existing SUDS examples and research basing on the SUDS designing strategies. Research has found that the SUDS is more than capable of managing stormwater but also can generate both monetary and indirect economic benefit. Furthermore, the nature feature of SUDS facilities can provide ecological benefits like providing habitats for animals, improving hydrological feature, and increase comfortability for residents. Thus, SUDS can be an ideal solution for the new urban drainage systems.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.183
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it