Estimation of fine particulate matter in an arid area from visibility based on machine learning.
Air Pollution
Environmental Monitoring
Exposure Modeling
Journal
Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
received:
24
04
2022
accepted:
13
09
2022
revised:
12
09
2022
pubmed:
24
9
2022
medline:
15
12
2022
entrez:
23
9
2022
Statut:
ppublish
Résumé
The absence of air pollution monitoring networks makes it difficult to assess historical fine particulate matter (PM We constructed an ensemble machine learning model to predict daily PM The model was constructed based on daily PM As compared to traditional statistic models, the proposed machine learning methods improved the accuracy in using visibility to predict daily PM These findings make it possible to retrospectively estimate daily PM The scarcity of air pollution ground monitoring networks makes it difficult to assess historical fine particulate matter exposures for countries in arid areas such as Kuwait. Visibility is closely related to atmospheric particulate matter concentrations and historical airport visibility records are commonly available in most countries. Our model make it possible to retrospectively estimate daily PM
Sections du résumé
BACKGROUND
The absence of air pollution monitoring networks makes it difficult to assess historical fine particulate matter (PM
OBJECTIVE
We constructed an ensemble machine learning model to predict daily PM
METHODS
The model was constructed based on daily PM
RESULTS
As compared to traditional statistic models, the proposed machine learning methods improved the accuracy in using visibility to predict daily PM
SIGNIFICANCE
These findings make it possible to retrospectively estimate daily PM
IMPACT STATEMENT
The scarcity of air pollution ground monitoring networks makes it difficult to assess historical fine particulate matter exposures for countries in arid areas such as Kuwait. Visibility is closely related to atmospheric particulate matter concentrations and historical airport visibility records are commonly available in most countries. Our model make it possible to retrospectively estimate daily PM
Identifiants
pubmed: 36151455
doi: 10.1038/s41370-022-00480-3
pii: 10.1038/s41370-022-00480-3
pmc: PMC9742157
mid: NIHMS1836222
doi:
Substances chimiques
Particulate Matter
0
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
926-931Subventions
Organisme : Intramural VA
ID : VA999999
Pays : United States
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.
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