Notice bibliographique
Résumé
Abstract Business as usual with consumption of fossil energy will see rapidly rising atmospheric CO2 concentration in the coming decades, unless radical measures are taken for capture and sequestration of carbon. Of the various approaches known to accomplish this, a closer examination of the two prominent methods of sequestration, namely, geo-sequestration and biosequestration and their large scale implementation will be necessary. As previously shown, preservation of the produced biomass (via conversion to charcoal) is a critical step in making the biosequestration work. The benefits of a two step charcoal approach, unparalleled by other methods, include permanence of sequestration, ready verification, the global applicability of the method, and creation of an energy bank for the future generations. However, two apparent issues with this approach are the associated length of time and land requirements. In this paper a couple of ways to solve the land requirement issue are discussed. It is shown that by tapping into the natural cycle of biomass production-decomposition to procure biomass for charcoal sequestration (an approach named as DUCS) eliminates any significant land requirement. According to this method, selective and intelligent use of the annual terrestrial litter fall will not only help accelerate the process of sequestration and obviate the land requirement but also have the overarching benefit of reducing overall sequestration costs. This approach is compared with biofuels use (also aimed at GHG reduction) both in terms of effectiveness and potential cost. Furthermore a practical way forward to initiate implementation of DUCS is discussed. Introduction Excess CO2 emitted into the atmosphere on account of continued consumption of fossil fuels can be offset by capturing it at industrial sources and pumping it into deep geological formations1 or by growth of biomass2 employing naturally occurring photosynthesis. Biomass in this context refers to non-fossil organic materials such as wood, straw, vegetable oils, and biodegradable wastes from plants or animals and agricultural residues that could be used for energy generation. It also includes aquatic living, or recently dead organic material such as phytoplankton or algae. While the technology for CO2 capture and sequestration in eological formations (geo-sequestration) exists, the main drawback of this approach is the associated high cost3 and the fact that it is practical only in the vicinity of concentrated sources of CO2, such as large industrial complexes and power generation plants. Additionally, this method requires raising CO2 to higher pressures which, being an energy intensive process, generates even more CO2. Natural production of biomass on earth employs sun and absorbs CO2 from atmosphere and sequesters it in the form of polysaccharides (bio-sequestration). So in principal by growing more and more plant life, progressively greater amount of carbon can be sequestered. The issue with this approach is that the sequestered biomass eventually decomposes and its decay releases back to atmosphere the sequestered CO24, 5, 6, 7. Thus the carbon is sequestered in the biomass only for the duration between its creation and decay, termed as bio-storage period in [4].
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».