GBD-MAPS-Global: Gridded Fractional Source Contribution Results
Notice bibliographique
Résumé
Overview 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: 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 PM2.5 Attributable Mortality Across Multiple Spatial Scales, Nature Communications Notes: All results provide the modeled fractional contribution of each designated source category to total surface PM2.5 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 absolute contributions of each source to PM2.5 mass (used in the GBD-MAPS analysis): 1) Multiply the 0.01°x0.01° fractional source contributions by downscaled 0.01°x0.01° resolution PM2.5 mass estimates, available in the DownscaledPM.zip folder as part of the GBD-MAPS-Global: Analysis Input Dataset (DOI: 10.5281/zenodo.4642700) Data File Descriptions: LatLon - 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%): AFCID - Anthropogenic Fugitive, Combustion, and Industrial Dust AGR - Agriculture - includes manure management, soil fertilizer emissions, rice cultivation, enteric fermentation, and other agriculture ENEcoal - Energy Production (coal combustion only) - Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires ENEother - Energy Production (all non-coal combustion) - Includes electricity and heat production, fuel production and transformation, oil and gas fugitive/flaring, and fossil fuel fires GFEDagburn - Agricultural Waste Burning - Includes solid waste disposal, waste incineration, waste-water handling, and other waste handling (from the GFED fires inventory) GFEDoburn - Other Open Fires - Includes deforestation, boreal forest, peat, savannah, and temperate forest fires (from the GFED fires inventory) INDcoal - Industry (coal combustion only) - 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) INDother - Industry (all non-coal combustion) - 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) NRTR - non-road/ off-road transportation - Includes Rail, Domestic navigation, Other transportation OTHER - all remaining sources, including: volcanic SO2, lightning NOx, biogenic soil NO, ocean emissions, biogenic emissions, very short lived iodine and bromine species, decaying plants (misc. inventories) RCOC - Commercial Combustion - Includes commercial and institutional combustion RCOO - Other Combustion - Includes combustion from agriculture, forestry, and fishing RCORbiofuel - Residential combustion (solid biofuel combustion only) - includes residential heating and cooking RCORcoal - Residential combustion (coal combustion only) - includes residential heating and cooking RCORother - Residential Combustion (all non-coal and non-solid biofuel) - includes residential heating and cooking ROAD - Road Transportation - includes cars, motorcycles, heavy and light duty trucks and buses SHP - International Shipping - Includes international shipping and tanker loading SLV - Solvents - Includes solvents production and application (degreasing and cleaning, paint application, chemical products manufacturing and processing, and other product use) WDUST - Windblown Dust - (from the DEAD dust model) WST - Waste - 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 PM2.5): BIOFUEL - Solid Biofuel (or biomass) Combustion- Includes solid biofuel COAL - Total Coal Combustion - Includes hard coal, brown coal, coal coke OILGAS- Liquid Oil and Natural Gas Combustion - 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 machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,002 | 0,006 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,036 | 0,023 |
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 source (Gemma direct ou Codex distillé), 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 ».