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Assessing the Origin of Sulfate Deposition at the Hubbard Brook Experimental Forest

2000· article· en· W2015912399 on OpenAlexafffund
Christine Alewell, M. J. Mitchell, Gene E. Likens, R. Krouse

Bibliographic record

VenueJournal of Environmental Quality · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsUniversity of Calgary
FundersU.S. Forest ServiceDeutsche ForschungsgemeinschaftNational Oceanic and Atmospheric AdministrationUniversity of CalgaryU.S. Environmental Protection AgencyNational Science Foundation
KeywordsPrecipitationEnvironmental scienceDeposition (geology)Atmospheric sciencesSulfateBiogeochemistryStable isotope ratioAtmosphere (unit)Acid rainFossil fuelEnvironmental chemistryOceanographyGeologyEcologySedimentChemistryMeteorology

Abstract

fetched live from OpenAlex

Abstract The geographical and chemical origin of SO 2− 4 deposition has become a concern, because anthropogenic S emissions have influenced the biogeochemistry of forested ecosystems and surface waters. Our aim was to evaluate the origin of SO 2− 4 in bulk precipitation at the Hubbard Brook Experimental Forest (HBEF), New Hampshire. We analyzed 26 years of archived bulk precipitation samples for sulfur stable isotopes. We compared the δ 34 S values with anthropogenic SO 2 emissions, the relative contribution of sea salt aerosols (as the SO − 4 /Na + ratio in precipitation), and temperature and solar radiation effects on the long‐term patterns of δ 34 S values. The long‐term pattern of δ 34 S values in bulk precipitation could be explained partly by the relative contribution of marine SO 2− 4 or solar radiation but not by temperature variation or anthropogenic SO 2 emissions. The high variability of the δ 34 S values of various fossil fuels makes it difficult to use stable S isotopes for identifying whether changing fossil fuel use is affecting the δ 34 S values in bulk precipitation. The seasonal pattern of δ 34 S values in bulk precipitation (significantly higher values in the winter than the summer) may be explained by the temperature dependence of the isotopic shift during SO 2− 4 formation in the atmosphere. A greater relative contribution of marine SO 2− 4 during the winter also may have contributed to the higher δ 34 S values in the winter. Previous investigations may have overestimated the role of biogenic emissions in affecting the δ 34 S pattern.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0090.000

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 head0.027
GPT teacher head0.283
Teacher spread0.256 · 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

Citations45
Published2000
Admission routes2
Has abstractyes

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