Predicting fine-scale daily NO

NO2 XGBoost air pollution ensemble modeling random forest

Journal

Atmospheric pollution research
ISSN: 1309-1042
Titre abrégé: Atmos Pollut Res
Pays: Turkey
ID NLM: 101554506

Informations de publication

Date de publication:
Jun 2023
Historique:
pmc-release: 01 06 2024
pubmed: 17 5 2023
medline: 17 5 2023
entrez: 16 5 2023
Statut: ppublish

Résumé

In recent years, there has been growing interest in developing air pollution prediction models to reduce exposure measurement error in epidemiologic studies. However, efforts for localized, fine-scale prediction models have been predominantly focused in the United States and Europe. Furthermore, the availability of new satellite instruments such as the TROPOsopheric Monitoring Instrument (TROPOMI) provides novel opportunities for modeling efforts. We estimated daily ground-level nitrogen dioxide (NO

Identifiants

pubmed: 37193345
doi: 10.1016/j.apr.2023.101763
pmc: PMC10168642
mid: NIHMS1894851
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES023515
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES013744
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD049311
Pays : United States

Déclaration de conflit d'intérêts

Competing Interests The author(s) declare that they have no competing interests. Declaration of interests 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.

Auteurs

Mike Z He (MZ)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Maayan Yitshak-Sade (M)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Allan C Just (AC)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Iván Gutiérrez-Avila (I)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Michael Dorman (M)

Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Kees de Hoogh (K)

Swiss Tropical and Public Health Institute, Basel, Switzerland.
University of Basel, Basel, Switzerland.

Bas Mijling (B)

Royal Netherlands Meteorological Institute, De Bilt, Netherlands.

Robert O Wright (RO)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Itai Kloog (I)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.

Classifications MeSH