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GREENHOUSE GAS EMISSIONS FROM PEAT EXTRACTION SITES IN THE CENTER OF THE EUROPEAN PART OF RUSSIA

2022· article· en· W4312797190 on OpenAlexaboutno aff
A.A. SIRIN, G.G. SUVOROV

Bibliographic record

VenueMeteorologiya i Gidrologiya · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPeatGreenhouse gasNitrous oxideEnvironmental scienceMethaneAtmospheric sciencesCarbon dioxideFlux (metallurgy)Hydrology (agriculture)Extraction (chemistry)DrainageWetlandGreenhouse effectClimatologyClimate changeGlobal warmingGeographyChemistryEcologyPhysicsGeology

Abstract

fetched live from OpenAlex

The carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes measured at a peat extraction site in the Moscow region in different seasons of 2005-2015 are considered. The average daily (taking into account intradaily dynamics) and average annual fluxes (emission factors) of CO2, CH4, and N2O from the interditch spacing (including microscale elevations and depressions) and drainage channels were estimated. The values of CO2 and N2O fluxes from the main interditch surface were equal to 3.3 t C-CO2/(ha year) and 1.1 kg N-N2O/(ha year), respectively; the value of the CH4 flux from the channel was 3200 kg CH4/(ha year). The resulting estimates are consistent with the default emission factors proposed for the “peatland under extraction” land category by the 2013 Supplement to the IPCC 2006 Guidelines for National Greenhouse Gas Inventories: Wetlands. The results can be used for preparing the national report of the Russian Federation on the emission and absorption of greenhouse gases not controlled by the Montreal Protocol

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 score0.022
Threshold uncertainty score0.998

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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