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Record W7042940425

Segmented flow coil equilibrator for continuous measurement of volatile organic compounds in seawater of the polar oceans

2021· dissertation· en· W7042940425 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSeawaterSea icePolarBiogeochemical cycleArcticIsopreneAtmosphere (unit)TransectFlow (mathematics)Sea salt
DOInot available

Abstract

fetched live from OpenAlex

Volatile organic compounds (VOCs) are a group of molecules that influence aspects of atmospheric chemistry such as oxidation chemistry and particle formation. Most VOCs are produced from a variety of anthropogenic and natural sources; with emissions from the oceans least well known/ quantified. In this thesis I focus on methanol, acetone, acetaldehyde, DMS and isoprene. Uncertainty persists as to the factors influencing their variability in seawater concentrations. The polar oceans are particularly undersampled regions with few to no measurements of these compounds, which is partially due to a lack of suitable instrumentation.
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\nTo increase available instrumentation, this thesis describes the development of a Segmented Flow Coil Equilibrator coupled to a commercially available Proton Transfer Reaction-Mass Spectrometer for measurements of VOCs in seawater. Its main advantage lies in its ability to measure underway and discrete samples.
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\nThe method is used to make depth profile and underway measurements in the Canadian Arctic Archipelago during sea ice melt season. Highest VOC concentrations are generally observed at the surface, apart from DMS and isoprene which sometimes display a subsurface maximum. Generally, highest surface concentrations of VOCs are observed in partial ice cover. Concentrations of acetone and acetaldehyde were about 30 – 50 % higher in partial ice cover compared to ice-free waters.
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\nThis thesis also presents ambient air, underway and depth profile measurements from a transect in the subpolar Southern Ocean, used to calculate surface saturations and air – sea fluxes. Correlations with other biogeochemical data allowed me to elucidate factors controlling seawater concentrations of these VOCs. This dataset contains the first evidence of a statistically significant, but small diel change (on the order of 8 – 26 %) in seawater isoprene, acetone and acetaldehyde concentrations in the open ocean.
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\nThe measurements presented in this thesis will be useful to constrain ocean source/sink strength. The analysis points towards factors controlling the global variability of these compounds in the ocean.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.615

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 head0.161
Teacher spread0.153 · 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