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Enregistrement W3211296383 · doi:10.5281/zenodo.4739100

GBD-MAPS-Global: Gridded Fractional Source Contribution Results

2021· dataset· en· W3211296383 sur OpenAlexaff
Erin E. McDuffie, Michael Bräuer, Randall V. Martin, Melanie S. Hammer, Aaron van Donkelaar, Steven J. Smith, Patrick O’Rourke, Liam Bindle, Viral Shah, Lyatt Jaeglé, Gan Luo, Fangqun Yu, Jamiu Adetayo Adeniran, Jintai Lin, Joseph V. Spadaro, Richard T. Burnett

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensDalhousie UniversityUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésGeologyComputer science

Résumé

récupéré en direct d'OpenAlex

<strong>Overview</strong><br> This dataset contains the modeled gridded fractional source contribution results for the 2021 Global Burden of Disease - Major Air Pollution Sources (GBD-MAPS) - Global study. Fractional results aggregated to the regional, national, and sub-national scales are available as Supplementary Datasets in McDuffie et al., Nature Communications, 2021. This GBD-MAPS-Global methodology and results are described in the following article:<br> McDuffie, E. E., Martin, R. V., Spadaro, J. V., Burnett, R., Smith, S. J., O'Rourke, P., Hammer, M., van Donkelaar, A., Bindle, L., Shah, V., Jaegle, L., Luo, G., Yu, F., Adeniran, J., Lin, J., Brauer, M. Source Sector and Fuel Contributions to Ambient PM<sub>2.5</sub> Attributable Mortality Across Multiple Spatial Scales, <em>Nature Communications</em> <strong>Notes:</strong><br> All results provide the modeled fractional contribution of each designated source category to total surface PM<sub>2.5</sub> mass and attributable disease burden. Fractional source contribution results are derived from emission sensitivity simulations using the GEOS-Chem 3D global chemical transport model (DOI: 10.5281/zenodo.4718622) and emissions from the Community Emissions Data System (GBD-MAPS update) (DOI: 10.5281/zenodo.3754964), unless otherwise noted. Results are provided at the 0.01°x0.01° (~1 km x 1 km) spatial resolution and are based on original simulations conducted at 2°x2.5° (global) and 0.5°x0.625° (Europe, North America, and Asia regions) degree resolutions. All units are in fractional percentages (e.g., 0.0245 is 2.45%). To calculate gridded <em>absolute</em> contributions of each source to PM<sub>2.5</sub> mass (used in the GBD-MAPS analysis):<br> 1) Multiply the 0.01°x0.01° fractional source contributions by downscaled 0.01°x0.01° resolution PM<sub>2.5</sub> mass estimates, available in the DownscaledPM.zip folder as part of the GBD-MAPS-Global: Analysis Input Dataset (DOI: 10.5281/zenodo.4642700) <strong>Data File Descriptions:</strong><br> <strong>LatLon</strong> - The latitude and longitude values that correspond to each data point in the source-specific files (0.01°x0.01° resolution) Sector Files (sum to 100%): <strong>AFCID</strong> - <em>Anthropogenic Fugitive, Combustion, and Industrial Dust</em><br> <strong>AGR</strong> - <em>Agriculture</em> - includes manure management, soil fertilizer emissions, rice cultivation, enteric fermentation, and other agriculture<br> <strong>ENEcoal</strong> - <em>Energy Production (coal combustion only)</em> - Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires<br> <strong>ENEother</strong> - <em>Energy Production (all non-coal combustion) </em>- Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires<br> <strong>GFEDagburn</strong> - <em>Agricultural Waste Burning </em>- Includes solid waste disposal, waste incineration, waste-water handling, and other waste handling (from the GFED fires inventory)<br> <strong>GFEDoburn </strong>- <em>Other Open Fires</em> - Includes deforestation, boreal forest, peat, savannah, and temperate forest fires (from the GFED fires inventory) <br> <strong>INDcoal</strong> - <em>Industry (coal combustion only)</em> - Includes Industrial combustion (iron and steel, non-ferrous metals, chemicals, pulp and paper, food and tobacco, non-metallic minerals, construction, transportation equipment, machinery, mining and quarrying, wood products, textile and leather, and other industry combustion) and non-combustion industrial processes and product use (cement production, lime production, other minerals, chemical industry, metal production, food, beverage, wood, pulp, and paper, and other non-combustion industrial emissions)<br> <strong>INDother</strong> - <em>Industry (all non-coal combustion)</em> - Includes Industrial combustion (iron and steel, non-ferrous metals, chemicals, pulp and paper, food and tobacco, non-metallic minerals, construction, transportation equipment, machinery, mining and quarrying, wood products, textile and leather, and other industry combustion) and non-combustion industrial processes and product use (cement production, lime production, other minerals, chemical industry, metal production, food, beverage, wood, pulp, and paper, and other non-combustion industrial emissions)<br> <strong>NRTR</strong> - <em>non-road/ off-road transportation </em>- Includes Rail, Domestic navigation, Other transportation<br> <strong><em>OTHER</em></strong><em> - all remaining sources</em>, including: volcanic SO2, lightning NOx, biogenic soil NO, ocean emissions, biogenic emissions, very short lived iodine and bromine species, decaying plants (misc. inventories)<br> <strong>RCOC</strong> - <em>Commercial Combustion</em> - Includes commercial and institutional combustion<br> <strong>RCOO</strong> - <em>Other Combustion</em> - Includes combustion from agriculture, forestry, and fishing<br> <strong>RCORbiofuel</strong> - <em>Residential combustion (solid biofuel combustion only) </em>- includes residential heating and cooking<br> <strong>RCORcoal</strong> - <em>Residential combustion (coal combustion only)</em> - includes residential heating and cooking<br> <strong>RCORother</strong> - <em>Residential Combustion (all non-coal and non-solid biofuel)</em> - includes residential heating and cooking<br> <strong>ROAD</strong> - <em>Road Transportation</em> - includes cars, motorcycles, heavy and light duty trucks and buses<br> <strong>SHP</strong> - <em>International Shipping</em> - Includes international shipping and tanker loading<br> <strong>SLV</strong> - <em>Solvents</em> - Includes solvents production and application (degreasing and cleaning, paint application, chemical products manufacturing and processing, and other product use)<br> <strong>WDUST</strong> - <em>Windblown Dust - </em>(from the DEAD dust model)<br> <strong>WST</strong> - <em>Waste</em> - Includes solid waste disposal, waste incineration, waste-water handling, and other waste handling Fuel Categories (do not sum to 100% for each grid cell as these only include combustion sources of PM<sub>2.5</sub>): <strong>BIOFUEL</strong> - <em>Solid Biofuel</em> (or biomass) <em>Combustion</em>- Includes solid biofuel<br> <strong>COAL</strong> - <em>Total Coal</em> <em>Combustion </em>- Includes hard coal, brown coal, coal coke<br> <strong>OILGAS- </strong><em>Liquid Oil and Natural Gas Combustion </em>- Includes light and heavy oil, diesel oil, and natural gas

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,161
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,004

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 Opus0,024
Tête enseignante GPT0,262
Écart entre enseignants0,238 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

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

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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