Sensitivity of air pollution exposure and disease burden to emission changes in China using machine learning emulation

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Author:Luke Conibear, Carly L. Reddington, Ben J. Silver, Ying Chen, Christoph KnoteORCiDGND, Stephen R. Arnold, Dominick V. Spracklen
URN:urn:nbn:de:bvb:384-opus4-967787
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/96778
ISSN:2471-1403OPAC
Parent Title (English):GeoHealth
Publisher:American Geophysical Union (AGU)
Place of publication:Washington, DC
Type:Article
Language:English
Year of first Publication:2022
Publishing Institution:Universität Augsburg
Release Date:2022/07/20
Tag:Health, Toxicology and Mutagenesis; Management, Monitoring, Policy and Law; Public Health, Environmental and Occupational Health; Pollution; Waste Management and Disposal; Water Science and Technology; Epidemiology; Global and Planetary Change
Volume:6
Issue:6
First Page:e2021GH000570
DOI:https://doi.org/10.1029/2021gh000570
Institutes:Medizinische Fakultät
Medizinische Fakultät / Lehrstuhl für Model-based Environmental Exposure Science
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)