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Record W7036213512

Best available scientific information on the effects of deposition of heavy metals from long-range atmospheric transport

2006· other· en· W7036213512 on OpenAlexaboutno aff

Bibliographic record

VenueNERC Open Research Archive (Natural Environment Research Council) · 2006
Typeother
Languageen
FieldComputer Science
TopicAdvanced Text Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsDeposition (geology)Heavy metalsAir pollutionAtmosphere (unit)Pollution
DOInot available

Abstract

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Canadian guidelines among women of childbearing age in Arctic populations that consume marine mammals.Cadmium.Cadmium is emitted to the atmosphere primarily in the particulate phase.While the majority of larger diameter particles are deposited relatively close to the source, the finer particles have the potential for long-range transport.Deposition of cadmium resulting from long-range atmospheric transport has been reported in remote areas.Evidence suggests that deposition rates in remote areas peaked at several times pre-industrial rates during the 1960s and 1970s and has since decreased to levels only slightly higher than pre-industrial.These results are consistent with results of EMEP modelling and monitoring in Europe, which suggest, in general, a two-fold decrease in atmospheric concentrations and deposition between 1990 and 2003.EMEP modelling suggests that 10-80% of deposition in European countries is derived from emissions in other European countries.Recent results from the International Cooperative Programme on Integrated Monitoring (ICP-IM) suggest that remote forest catchments of northern and central Europe continue to accumulate deposited cadmium.In general, soil cadmium concentrations in remote regions do not exceed thresholds for adverse effects on microbiota or vegetation.Vegetation, which accumulates cadmium from a number of sources, including atmospheric deposition, is the primary source of cadmium exposure for terrestrial herbivores that tend to accumulate cadmium in their liver and kidneys.Available information indicates that levels of cadmium in terrestrial wildlife are generally low and do not exceed thresholds of effects.Cadmium is relatively mobile in freshwater ecosystems and can be accumulated by freshwater biota.However, unlike mercury, cadmium does not biomagnify in freshwater ecosystems.While lakes in northern Europe were found to contain elevated concentrations of cadmium as a result of long-range atmospheric transport, the levels that were reported do not exceed the estimated thresholds for toxic effects.Overall there appears to be generally a low risk of adverse effects due to environmental exposure to cadmium through freshwater ecosystems.However, under conditions of very soft water there is concern that there may be some risk because the "estimated thresholds" may not be sufficiently protective for these water conditions.In marine ecosystems cadmium can achieve relatively high levels in some marine mammals.The contribution of anthropogenic cadmium to marine ecosystems, however, is thought to be relatively small.The vast majority of cadmium circulating in the world's oceans arises from natural sources and processes.v Food is the greatest source of human cadmium exposure, accounting for about 99% of cadmium intake in non-smokers, on average.Cereals, potatoes and leafy vegetables, represent the greatest source of dietary cadmium; however, consumption of organ meats and shellfish can also represent a significant dietary source.Cadmium-containing fertilizers, natural soil content, and atmospheric deposition all contribute to levels in food crops.In general, levels of dietary intake of cadmium are below applicable consumption guidelines for the prevention of kidney damage and there does not appear to be any risk of adverse effects to the general population as a result of long-range atmospheric transport.However, the safety margin for human health effects due to current exposures is considered to be small.Thus, further accumulation of cadmium in agricultural lands could result in exposures of concern.Lead.Lead is emitted to the atmosphere primarily in the particulate phase.While the majority of larger diameter particles are deposited relatively close to the source, the finer particles have the potential for long-range transport.Organic forms of lead, such as tetraethyl and tetramethyl lead, are significantly more volatile than inorganic forms of lead and are more amenable to atmospheric transport.Evidence suggests that atmospheric deposition rates of lead in remote regions peaked during the 1970s and early 1980s at levels up to 200 times higher than historic background.Deposition rates appear to have decreased rapidly since the early 1980s.This is consistent with results of EMEP monitoring and modelling in Europe, which suggest a general two to three-fold decrease in atmospheric concentrations and deposition between 1990 and 2003.EMEP modelling suggests transboundary transport within Europe can account for 10-90% of deposition in European countries.In North America, lead air concentrations decreased greatly in the 1980s and early 1990s, and continued to decline through the mid-to late-1990s, although at a slower rate.Results from Arctic monitoring indicate that lead concentrations in air generally decreased since the 1980s, though recent average levels are relatively stable.Recent results from ICP-IM indicate that atmospherically deposited lead is accumulated in forested catchments of Northern and Central Europe.Concentrations of lead measured in some forest humus layers and reported by the International Cooperative Programme on Forests (ICP-Forests) may exceed thresholds for effects in soil organisms.However, these ICP-Forests sites are not necessarily in remote locations.Lead does not appear to reach concentrations of toxicological significance in terrestrial wildlife as a result of deposition from long-range atmospheric transport.Concentrations of lead in freshwater ecosystems influenced by long-range atmospheric transport are relatively low and are not considered a toxicological threat to aquatic

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0070.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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