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Record W2531014054

Flood hazard and vulnerability in Newfoundland communities

2006· dissertation· en· W2531014054 on OpenAlexaboutno aff
Heather J. Hickman

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2006
Typedissertation
Languageen
FieldEnvironmental Science
TopicFlood Risk Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsFlooding (psychology)Flood mythPeninsulaStorm surgeDrainageDebrisStormCoastal floodEnvironmental scienceHydrology (agriculture)Flood stageNatural hazardSurface runoffClimate changeGeographyGeologyEcologyOceanography100-year floodMeteorology
DOInot available

Abstract

fetched live from OpenAlex

Flooding affects many Newfoundland communities. Identification of hazards, areas of risk, and assessments of previous and potential socio-economic impacts, were conducted for three regions, including urban (Comer Brook), suburban (Torbay), and rural communities (Burin Peninsula and Humber Arm). These communities represent a variety of physical and socio-economic environments, enabling discussion of the comparative risks from various natural and human-induced flooding mechanisms. Flood risk maps are presented for the three regions. -- Floods in Newfoundland result from both natural and anthropogenic causes, and commonly occur due to the simultaneous operation of several mechanisms. Natural causes are directly related to Newfoundland's climate. Storm activity has a greater impact on flooding in Torbay and the Burin Peninsula than in the Humber Arm region. The associated storm surges are significant on the Burin Peninsula, whereas storm precipitation triggering river flooding has a greater effect on Torbay. Spring rain-on-snow events are a common flooding mechanism in the Humber Arm region. Additional flooding mechanisms affecting these communities include river and coastal ice jams, slope failures, natural accumulation of debris, and tsunamis. Climate change and variation may change the frequency and severity of flooding events, depending upon the flooding mechanism involved. -- Human activities that alter drainage patterns cause flooding. Artificial constriction of streams, failure of drainage infrastructure, and debris blockages cause flooding. Converting vegetated ground into impermeable surfaces increases runoff and enhances flooding events. Upslope development places lower-lying areas at risk. Municipal planning and identification of flood zone areas can reduce vulnerability to flooding. Maintenance of drainage and coastal protection infrastructure can also aid in limiting damage. -- Torbay has the lowest socio-economic vulnerability to flooding among the three study areas. Comer Brook is marked by high economic costs, but low social costs associated with flooding. The rural Humber Arm and Burin Peninsula regions show lesser degrees of economic vulnerability, but much higher social vulnerability. -- The three areas differ in the relative importance of human activities, meteorological effects, and climate variation and change impacts upon flooding. In Comer Brook, increased precipitation and changes in winter conditions are significant factors increasing flooding risk, combined with urban development. Along the Humber Arm, where building is not a major factor, climate impacts dominate. On the Burin Peninsula, potential climate change impacts on flooding are connected with storm frequency and severity, while changes in precipitation are less apparent. Changed flood risk in Torbay is related primarily to human activities, with climate change possibly playing an indefinite, subordinate role. The differences in response among these three regions indicate that detailed site-specific analysis must be conducted in order to properly assess flooding risk in other Newfoundland & Labrador communities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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; a candidate call from one teacher head, not a consensus.

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

Citations4
Published2006
Admission routes1
Has abstractyes

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