Public Health Benefits From Improved Identification of Severe Air Pollution Events With Geostationary Satellite Data.

air quality public health satellite data

Journal

GeoHealth
ISSN: 2471-1403
Titre abrégé: Geohealth
Pays: United States
ID NLM: 101706476

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 26 06 2023
revised: 01 10 2023
accepted: 06 10 2023
medline: 23 1 2024
pubmed: 23 1 2024
entrez: 23 1 2024
Statut: epublish

Résumé

Despite improvements in ambient air quality in the US in recent decades, many people still experience unhealthy levels of pollution. At present, national-level alert-day identification relies predominately on surface monitor networks and forecasters. Satellite-based estimates of surface air quality have rapidly advanced and have the capability to inform exposure-reducing actions to protect public health. At present, we lack a robust framework to quantify public health benefits of these advances in applications of satellite-based atmospheric composition data. Here, we assess possible health benefits of using geostationary satellite data, over polar orbiting satellite data, for identifying particulate air quality alert days (24hr PM

Identifiants

pubmed: 38259818
doi: 10.1029/2023GH000890
pii: GH2485
pmc: PMC10801669
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2023GH000890

Informations de copyright

© 2024 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.

Déclaration de conflit d'intérêts

KO reports honoraria from NOAA during the conduct of the study. DG reports grants from NOAA during the conduct of the study. GHK reports personal fees from California Air Resources Board, personal fees from Department of Justice, personal fees from New York State Attorney General, and personal fees from Environmental Defense Fund outside the submitted work. BH, HZ, SCA, SK, and ZW have no conflicts of interest to declare relevant to the present study.

Auteurs

Katelyn O'Dell (K)

Milken Institute School of Public Health George Washington University Washington DC USA.

Shobha Kondragunta (S)

NOAA/NESDIS/Center for Satellite Applications and Research College Park MD USA.

Hai Zhang (H)

I. M. Systems Group, NOAA NCWCP, 5830 University Research Ct College Park MD USA.

Daniel L Goldberg (DL)

Milken Institute School of Public Health George Washington University Washington DC USA.

Gaige Hunter Kerr (GH)

Milken Institute School of Public Health George Washington University Washington DC USA.

Zigang Wei (Z)

I. M. Systems Group, NOAA NCWCP, 5830 University Research Ct College Park MD USA.

Barron H Henderson (BH)

U.S. EPA Office of Planning and Standards Durham NC USA.

Susan C Anenberg (SC)

Milken Institute School of Public Health George Washington University Washington DC USA.

Classifications MeSH