Predicting Spatial Variations in Multiple Measures of PM
fine particles
land use regression
oxidative potential
oxidative stress
particulate air pollution
Journal
Environmental science & technology
ISSN: 1520-5851
Titre abrégé: Environ Sci Technol
Pays: United States
ID NLM: 0213155
Informations de publication
Date de publication:
07 06 2022
07 06 2022
Historique:
pubmed:
30
12
2021
medline:
9
6
2022
entrez:
29
12
2021
Statut:
ppublish
Résumé
There is growing interest to move beyond fine particle mass concentrations (PM
Identifiants
pubmed: 34965092
doi: 10.1021/acs.est.1c05364
doi:
Substances chimiques
Air Pollutants
0
Magnetite Nanoparticles
0
Particulate Matter
0
Reactive Oxygen Species
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
7256-7265Subventions
Organisme : CIHR
ID : GSD-164254
Pays : Canada