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Record W2120257780 · doi:10.1139/a11-011

Development of an adaptation toolbox to protect southeast Florida water supplies from climate change

2011· article· en· W2120257780 on OpenAlexvenueno aff
Frederick Bloetscher, Barry Heimlich, Daniel E. Meeroff

Bibliographic record

VenueEnvironmental Reviews · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeToolboxAdaptation (eye)Environmental resource managementEnvironmental scienceClimate change adaptationGeographyEcologyEnvironmental planningEnvironmental protectionWater resource managementEngineeringBiology

Abstract

fetched live from OpenAlex

Sea level rise and changes in precipitation patterns due to climate change present a challenge to water resources engineers and planners in southeast Florida with regard to sustainable water supplies and Everglades restoration. Because over half of the urban areas of Miami–Dade and Broward counties, as well as portions of Palm Beach County (home to 5 million people), are at an elevation below 5 ft national geodetic vertical datum (ngvd), protection against sea level rise and coastal migration presents a challenge. Current approaches to water supply will not protect the resilience and prolong the sustainability of the region’s water resources. In this paper, the authors outline the potential effects of sea level rise scenarios for coastal southeast Florida and develop a toolbox of options for adaptation for water, wastewater, and stormwater utilities to apply. Any given option may not be appropriate for all utilities, and any given utility may deem there to be benefits to pursuing multiple strategies on a ...

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.997

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)0.0050.004

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 head0.102
GPT teacher head0.241
Teacher spread0.138 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2011
Admission routes1
Has abstractyes

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