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Record W2298387717

Abstract: Recognition of a modern sediment oscillation in Loon Lake, Halifax County, Nova Scotia: implications for paleoclimate and environmental research

2000· article· en· W2298387717 on OpenAlexaboutno aff
Janet Fownes, Ian Spooner

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsSedimentGeologyOceanographyHydrology (agriculture)WatershedEnvironmental scienceGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

In this study the physical properties of Loon Lake near Halifax were studied with the intent of understanding the processes that influence sedimentation and sediment mobility in small, shallow, organic-dominated lakes. Organic Jakes are o(interest as productivity shifts resulting from climate change events are often preserved within the lake sediments. As well, remediation of contaminated organic lakes is often hampered by a lack of understanding of the physical processes that govern sedimentation and sediment mobility. Loon Lake was chosen for this study on the basis of size, shape, depth and location. Loon Lake is located along the path of a recent hurricane. We hypothesised that hurricanes may be significant in the mobilization of lake bottom and watershed sediments. Sonar profiling was carried out to determine basin stratigraphy, using a King 1570 sonar unit. Lake sediment sampling was accomplished with a Glew gravity sediment corer. Sediment traps and thermistor strings were employed to ascertain the lakes present trophic state. 3-D reconstruction of sediment distribution was accomplished using the Rockworks 99 program. Loss on ignition and thin section analyses were carried out on core sediment. Wind speed and precipitation data were used to model basin and watershed dynamics. Loon Lake is highly productive and exhibited very high organic sedimentation rates and much of the organic sediment is algae. A elastic sediment oscillation was evident near the top of all cores recovered. The sediment oscillation is characterized by an increase in the clay content within the lake sediment core and a decrease in L.0.1. The elastic oscillation is asymmetrically distributed, with thickest accumulations in the north end of the lake. The lack of any ice rafted silt or sand within the oscillation indicates that the sediment was deposited during ice-free conditions. Wind speeds associated with recent hurricanes were sufficient enough to produce turbulent conditions and re-suspend previously deposited organic sediment within the lake basin. Rainfall amounts were sufficient and of short enough duration · that saturated conditions and overland flow likely existed. We conclude that the oscillation is a product of the transfer of surface sediment (made available in part by physical disturbance) into the lake basin and the transfer within the basin of this sediment by turbulent suspension. These results indicate that shallow organic lakes are susceptible to hurricane induced mixing and sediment redistribution. They also illustrate that significant sediment oscillations <;an be produced by very short term, catastrophic events and ao not necessarily need to be a product of a period of climate change.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.533

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.302
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2000
Admission routes1
Has abstractyes

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