Evaluating reduced-form modeling tools for simulating ozone and PM
Journal
Environmental science: atmospheres
ISSN: 2634-3606
Titre abrégé: Environ Sci Atmos
Pays: England
ID NLM: 9918227365506676
Informations de publication
Date de publication:
27 Jul 2023
27 Jul 2023
Historique:
medline:
17
8
2023
pubmed:
17
8
2023
entrez:
17
8
2023
Statut:
ppublish
Résumé
Reduced-form modeling approaches are an increasingly popular way to rapidly estimate air quality and human health impacts related to changes in air pollutant emissions. These approaches reduce computation time by making simplifying assumptions about pollutant source characteristics, transport and chemistry. Two reduced form tools used by the Environmental Protection Agency in recent assessments are source apportionment-based benefit per ton (SA BPT) and source apportionment-based air quality surfaces (SABAQS). In this work, we apply these two reduced form tools to predict changes in ambient summer-season ozone, ambient annual PM
Identifiants
pubmed: 37590244
doi: 10.1039/d3ea00092c
pmc: PMC10425884
mid: NIHMS1921937
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1-13Subventions
Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Déclaration de conflit d'intérêts
CONFLICTS OF INTEREST There are no conflicts to declare
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