Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses-Reference-Cited by-同舟云学术

Application of machine learning approaches in the analysis of mass absorption cross-section of black carbon aerosols: Aerosol composition dependencies and sensitivity analyses

Published:2022-09-06 Issue:11 Volume:56 Page:998-1008
ISSN:0278-6826
Container-title:Aerosol Science and Technology
language:en
Short-container-title:Aerosol Science and Technology

Author:

May Andrew A.¹^ORCID,Li Hanyang¹^ORCID

Affiliation:

1. Department of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, Ohio, USA

Funder

Climate Program Office

Publisher

Informa UK Limited

Subject

Pollution,General Materials Science,Environmental Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/02786826.2022.2114312

Reference59 articles.

1. A spatio-temporal prediction model based on support vector machine regression: Ambient Black Carbon in three New England States

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4. Bounding the role of black carbon in the climate system: A scientific assessment

5. Relationship between Amazon biomass burning aerosols and rainfall over the La Plata Basin

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