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Record W2132505287 · doi:10.1002/ird.237

Flood management under rapid urbanisation and industrialisation in flood-prone areas: a need for serious consideration

2006· article· en· W2132505287 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

VenueIrrigation and Drainage · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsUrbanizationFlood mythIndustrialisationGeographyWater resource managementUrban expansionPopulationLand reclamationEnvironmental sciencePolitical scienceEconomic growthEconomics

Abstract

fetched live from OpenAlex

An increasing proportion of the world's population is living and working in flood-prone areas. There are no indications that this tendency will change. In the rural areas we may observe improvements in agricultural production and an increase in the value of crops, farm buildings, water management facilities and infrastructure. In addition, due to urbanisation, industrialisation and improving standards of living, especially in the emerging countries, the value of property, buildings and infrastructure has significantly increased and will further increase in future. Especially in flood-prone areas in South and East Asia we may observe a very rapid growth of urban areas. In order to cope with this growth of new urban areas reclamation has very often taken place in nearby low-lying areas. From a flood protection and water management point of view this implies removal of storage areas and increase in urban drainage discharges. The paper presents the various developments and their consequences with respect to flood management. Copyright © 2006 John Wiley & Sons, Ltd. Une proportion croissante de la population mondiale vit et travaille dans des zones à risque d'inondation. Et il n'y a aucune indication que cette tendance puisse changer. Dans les secteurs ruraux on peut observer des améliorations de la production agricole et une augmentation de la valeur des récoltes, des bâtiments de ferme, ainsi que des équipements et infrastructure de gestion de l'eau. En outre, en raison de l'urbanisation, de l'industrialisation et de l'augmentation du niveau de vie, particulièrement dans les pays émergents, la valeur des terres, des bâtiments et des infrastructures a sensiblement augmenté et augmentera encore dans l'avenir. Particulièrement dans des zones à risque de l'Asie du Sud et de l'Est on peut observer une croissance très rapide des secteurs urbains. Afin de faire face à cette urbanisation croissante, des zones basses voisines ont souvent fait l'objet de réhabilitation. Du point de vue de la protection contre les inondations et de la gestion de l'eau, ceci implique le déplacement de la zone de stockage et l'augmentation des débits du drainage urbain. L'article présente ces divers développements et leurs conséquences en ce qui concerne la protection contre les inondations. Copyright © 2006 John Wiley & Sons, Ltd.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.534

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 head0.011
GPT teacher head0.227
Teacher spread0.215 · 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