A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, Texas-Reference-Cited by-同舟云学术

A comprehensive approach combining positive matrix factorization modeling, meteorology, and machine learning for source apportionment of surface ozone precursors: Underlying factors contributing to ozone formation in Houston, Texas

Published:2023-10 Issue: Volume:334 Page:122223
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Nelson Delaney^ORCID,Choi Yunsoo,Sadeghi Bavand,Yeganeh Arash Kashfi^ORCID,Ghahremanloo Masoud,Park Jincheol^ORCID

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference79 articles.

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