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Record W2154856292 · doi:10.1029/2000jc000762

Spatial and temporal evolution of lead isotope ratios in the North Atlantic Ocean between 1981 and 1989

2003· article· en· W2154856292 on OpenAlexaboutno aff
Dominik Weiß, Edward A. Boyle, Jingfeng Wu, Valérie Chavagnac, Anna P. M. Michel, Matthew K. Reuer

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsnot available
Fundersnot available
KeywordsRadiogenic nuclideOceanographyGeologyStructural basinSubtropicsLatitudeNorth Atlantic Deep WaterLead (geology)GeochemistryThermohaline circulationGeomorphology

Abstract

fetched live from OpenAlex

Lead concentrations and isotope ratios were measured in North Atlantic surface water samples collected in 1981 (29°–79°N, 6°E–49°W) and in 1989 (23°–39°N, 29°–68°W). In the early 1980s, 206 Pb/ 207 Pb ratios in the North African Basin averaged 1.193 ± 0.005 (1 σ). Similar radiogenic ratios within the level of analytical precision (average 0.29%) were found in the Labrador and Iceland Basins (1.198 ± 0.006) and in the Norwegian Sea (1.196 ± 0.008). These radiogenic mixed layer signatures along with atmospheric global lead emission patterns suggest that most North Atlantic lead in the early 1980s was derived from North American leaded gasoline. Samples in the East Iberian Basin near Portugal and France showed lower 206 Pb/ 207 Pb ratios, between 1.167 and 1.182, indicating a significant influence of less radiogenic atmospheric lead transported from Europe and possibly the influence of the Rio Tinto acid mine drainage very close to shore in the Gulf of Cadiz. [Pb] across the entire North Atlantic Basin ranged between 54 and 145 pmol/kg, with the lowest values (54–74 pmol/kg) found at high latitudes (>65°N). In the late 1980s, surface waters in the western subtropical North Atlantic (North American Basin/Sargasso Sea, >47°W) and in the eastern subtropical North Atlantic (North African Basin/Central Iberian Basin, <45°W) showed very similar 206 Pb/ 207 Pb signatures with little zonal variation, ranging from 1.177 to 1.192. Lead concentrations ranged between 47 and 137 pmol/kg, increasing slightly from west to east. South of 25°N in the equatorial North Atlantic, crossing the subtropical/tropical surface water boundary, the 206 Pb/ 207 Pb seawater signatures were significantly less radiogenic (1.170–1.175) and concentrations were lower (≤51 pmol/kg). This difference suggests a relative increase in the atmospheric lead supply from the western Mediterranean/North African continent via Trade Easterlies and illustrates the effective barrier between the subtropical/tropical surface water exchanges. Triple‐isotope plots ( 206 Pb, 207 Pb, and 208 Pb) suggest that most of the lead can be accounted for by wet aerosol deposition derived from the adjacent landmasses of America to the west (transported via the North American Westerlies) and from Europe to the east (transported via the European Easterlies) and probably by some advected surface waters from the Sargasso Sea. The 1989 triple‐isotope plot suggests, however, a third lead source in the subtropical western North Atlantic, possibly leaded gasoline from Mexico. Gasoline lead emission patterns as well as atmospheric lead isotope signatures confirm that gasoline was the main pollutant source in the early 1980s but suggest that contributions from high‐temperature industrial processes (coal combustion, steel manufacture, waste incineration) have been increasing in the late 1980s. From isotopic mass balance estimates, lead inputs to the 1980s North Atlantic were dominated by North American sources (>53%). These elemental and isotopic results demonstrate the strongly variable isotopic and elemental signatures of North American and European lead throughout the North Atlantic Ocean, frequently dominated by high 206 Pb/ 207 Pb and [Pb] North American signatures throughout the subtropical North Atlantic gyre.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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.

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

Citations41
Published2003
Admission routes1
Has abstractyes

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