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Enregistrement W79686765

Biochar As A Carbon Sequestration Mechanism: Decomposition, Modelling, And Policy

2011· dissertation· en· W79686765 sur OpenAlexfundno aff
Thea Whitman

Notice bibliographique

RevueeCommons (Cornell University) · 2011
Typedissertation
Langueen
DomaineEngineering
ThématiqueSustainable Industrial Ecology
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaWorld Agroforestry Centre
Mots-clésBiocharCarbon sequestrationDecompositionCarbon fibersMechanism (biology)Environmental scienceNatural resource economicsWaste managementChemistryPyrolysisComputer scienceEconomicsEngineeringCarbon dioxidePhysics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Black carbon, or biochar (BC), has a strong but complex potential as a tool for climate change mitigation, due to its high carbon (C) stability, through its application within specific biomass management systems, and depending on the policy tools necessary to establish it effectively within climate change mitigation projects. The term "black carbon" encompasses a spectrum of materials produced during incomplete combustion, including soot and charcoal, while "biochar" is used to distinguish the material from charcoal created for fuel, and to denote its particular application in C sequestration and emission-reducing projects as a soil amendment. Understanding the influence of production temperature, feedstock, and other initial properties on BC stability is critical for evaluating or managing terrestrial C stocks. This thesis quantifies C loss in BCs produced at 7 different temperatures from 6 different feedstocks as well as the original materials through a 3-year microbial incubation in sand matrices. Carbon losses are interpreted using a number of properties, including Fourier-transformed infra-red spectra. High temperature BCs were characterized by lower volatile and higher fixed C contents and the increasing dominance of aromatic C compounds in increasingly condensed forms. 300°C BCs lost 17.8% more C than 600°C BCs, which did not show significant C losses. It was found that production temperature has a greater influence on 3-year C stability than feedstock, likely due to the different temperature ranges at which different organic compounds are modified by heating. However, the C debt or credit ratio, which takes into account the C losses from the original feedstock that are incurred upon charring, is highly sensitive to feedstock type. Corn BCs attained ratios of 2.29-2.81, while no oak or pine chars reached the "break-even ratio" of 1 after 3 years. The introduction of cook stoves that produce BC as well as heat for cooking into small farm households in western Kenya is an example of a specific system in which BC production could be applied. System dynamics modelling was used to: (i) investigate the climate change impact of prototype and refined BC-producing pyrolytic cook stoves and improved combustion cook stoves in comparison to conventional cook stoves; (ii) assess the relative sensitivity of the stoves to key parameters; (iii) quantify the effects of different climate change impact accounting decisions. Simulated reductions in greenhouse gas (GHG) impact from a traditional 3stone cook stove baseline range between 2.56-4.63 tCO2e/household/year for an improved combustion stove and 2.58-5.80 tCO2e/household/year for the pyrolytic stoves, of which BC directly accounts for 14-50%. The magnitude of these reductions is about twice as sensitive to baseline wood fuel use and the fraction of non-renewable biomass (fNRB) of off-farm wood that is used as fuel as to farm age/soil degradation status or stability of biochar. Reductions in GHG impact decrease if a household must access non-renewable fuel sources. Stoves with higher wood demand are less sensitive to changes in baseline fuel use and rely on biochar for a greater proportion of their reductions. This thesis investigates policy and methodology aspects of BC systems used for carbon management, including the criteria for establishing additionality, baselines, permanence, leakage, system drivers, measurement, verification, economics, and development for successful stand-alone projects and carbon offsets. Findings include that applying baselines of biomass decomposition rather than total soil carbon is effective and supports a longer crediting period than is currently standard. Explicitly designing a BC system around "true wastes" as feedstocks combined with safe system drivers could minimize unwanted land-use impacts and leakage With biochar production introduced into bioenergy systems, under a renewable biomass scenario, the change in emissions increases with higher fuel use, rather than decreasing. Integrating these findings with system-specific analysis and an increased understanding of C stability in BCs should inform the design of effective applied BC systems.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,211
Écart entre enseignants0,186 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2011
Routes d'admission1
Résumé présentoui

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