Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China

Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China

Abstract Air pollution exposure remains a leading public health problem in China. The use of chemical transport models to quantify the impacts of various emission changes on air quality is limited by their large computational demands. Machine learning models can emulate chemical transport models to...

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Bibliographic Details
Main Authors: Luke Conibear, Carly L. Reddington, Ben J. Silver, Ying Chen, Christoph Knote, Stephen R. Arnold, Dominick V. Spracklen
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-05-01
Series:GeoHealth
Subjects:
air quality
China
emissions
emulator
machine learning
particulate matter
Online Access:https://doi.org/10.1029/2021GH000391

Internet

https://doi.org/10.1029/2021GH000391

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