Development and Evaluation of Spatio-Temporal Air Pollution Exposure Models and Their Combinations in the Greater London Area, UK.
air pollution
chemical transport models
exposure modeling
land use regression
machine learning
particulate matter
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
28 04 2022
28 04 2022
Historique:
received:
31
03
2022
revised:
26
04
2022
accepted:
27
04
2022
entrez:
14
5
2022
pubmed:
15
5
2022
medline:
18
5
2022
Statut:
epublish
Résumé
Land use regression (LUR) and dispersion/chemical transport models (D/CTMs) are frequently applied to predict exposure to air pollution concentrations at a fine scale for use in epidemiological studies. Moreover, the use of satellite aerosol optical depth data has been a key predictor especially for particulate matter pollution and when studying large populations. Within the STEAM project we present a hybrid spatio-temporal modeling framework by (a) incorporating predictions from dispersion modeling of nitrogen dioxide (NO
Identifiants
pubmed: 35564796
pii: ijerph19095401
doi: 10.3390/ijerph19095401
pmc: PMC9103954
pii:
doi:
Substances chimiques
Air Pollutants
0
Particulate Matter
0
Nitrogen Dioxide
S7G510RUBH
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Medical Research Council
ID : MR/S019669/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N014464/1
Pays : United Kingdom
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