Data mining approaches to understanding the formation of secondary organic aerosol-Reference-Cited by-同舟云学术

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Data mining approaches to understanding the formation of secondary organic aerosol

Published:2021-05 Issue: Volume:252 Page:118345
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Olson David A.,Offenberg John H.^ORCID,Lewandowski Michael,Kleindienst Tadeusz E.,Docherty Kenneth S.,Jaoui Mohammed,Krug Jonathan^ORCID,Riedel Theran P.

Funder

U.S. Environmental Protection Agency

Office of Research and Development

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference30 articles.

1. Pattern Recognition and Machine Learning;Bishop,2006

2. The effect of water on gas-particle partitioning of secondary organic aerosol. Part I: α-pinene/ozone system;Cocker;Atmos. Environ.,2001

3. The effect of water on gas-particle partitioning of secondary organic aerosol: II. m-xylene and 1,3,5-trimethylbenzene photooxidation systems;Cocker;Atmos. Environ.,2001

4. α-pinene photooxidation under controlled chemical conditions - Part 2: SOA yield and composition in low- and high-NOx environments;Eddingsaas;Atmos. Chem. Phys.,2012

5. Impact of aerosol liquid water on secondary organic aerosol yields of irradiated toluene/propylene/NOx/(NH4)2SO4/air mixtures;Edney;Atmos. Environ.,2000

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