High resolution mapping of nitrogen dioxide and particulate matter in Great Britain (2003-2021) with multi-stage data reconstruction and ensemble machine learning methods.
Air pollution
Machine learning
Nitrogen dioxide
Particulate matter
ensemble GIS
Journal
Atmospheric pollution research
ISSN: 1309-1042
Titre abrégé: Atmos Pollut Res
Pays: Turkey
ID NLM: 101554506
Informations de publication
Date de publication:
Nov 2024
Nov 2024
Historique:
pmc-release:
01
11
2024
medline:
23
8
2024
pubmed:
23
8
2024
entrez:
23
8
2024
Statut:
ppublish
Résumé
In this contribution, we applied a multi-stage machine learning (ML) framework to map daily values of nitrogen dioxide (NO
Identifiants
pubmed: 39175565
doi: 10.1016/j.apr.2024.102284
pmc: PMC7616380
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102284Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.