Developing a UV climatology for public health purposes using satellite data.

Climatology Environmental health Public health Satellite imagery Skin cancer Ultraviolet

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
01 2021
Historique:
received: 26 02 2020
revised: 30 09 2020
accepted: 30 09 2020
pubmed: 16 11 2020
medline: 22 4 2021
entrez: 15 11 2020
Statut: ppublish

Résumé

The effects of solar ultraviolet (UV) radiation on life on Earth differ greatly. While overexposure to UV rays is harmful, small amounts of exposure are necessary for the synthesis of Vitamin D and good health. To optimize individual exposure to solar UV, it is therefore crucial to use UV data sources representative for entire populations and realistically accounting for various influencing factors. A UV climatology for Switzerland based on satellite data has been developed to provide risk estimates at population level. An algorithm generating ground-based radiation estimate has been transformed from the visible to the UV wavelength domain by adapting both a clear-sky radiation transfer model and a cloud modification factor model using satellite imagery. The algorithm allows the computation of global UV erythemal irradiance at a spatial resolution of 1.5 - 2 km and an hourly temporal resolution over fifteen years. A validation, conducted with measurements from three meteorological stations over ten years, showed that the expanded uncertainty for low hourly UVI values (UVI < 3) is about ± 0.3, while for high hourly UVI values (UVI > 6) it can go up to ± 1.5. In clear-sky situation, the uncertainty is in the range of 10-15%. The climatology developed allows to visualise potential UV exposure at regional and national scale. National prevention intervention could use new strategies to better focus on populations at risk and better tailor available researches. The UV climatology allows a high versatility in adapting the data extraction to the goal of studies using it. Further tailored data extraction and analysis will be necessary to exploit this climatology in a wide range of environmental and occupational health applications. Its development was focused on Switzerland, but the techniques used can be extended globally.

Identifiants

pubmed: 33189989
pii: S0160-4120(20)32132-2
doi: 10.1016/j.envint.2020.106177
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106177

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Laurent Vuilleumier (L)

Federal Office of Meteorology and Climatology (MeteoSwiss), Payerne, Switzerland. Electronic address: laurent.vuilleumier@meteoswiss.ch.

Todd Harris (T)

Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil and Environmental Engineering, Swiss Institute of Technology, Lausanne, Switzerland. Electronic address: todd.harris@epfl.ch.

Athanasios Nenes (A)

Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil and Environmental Engineering, Swiss Institute of Technology, Lausanne, Switzerland; Institute of Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, Greece. Electronic address: athanasios.nenes@epfl.ch.

Claudine Backes (C)

Center for Public Health and Primary Care Medicine (Unisanté), University of Lausanne, Switzerland. Electronic address: claudine.backes@unisante.ch.

David Vernez (D)

Center for Public Health and Primary Care Medicine (Unisanté), University of Lausanne, Switzerland. Electronic address: david.vernez@unisante.ch.

Articles similaires

Benzhydryl Compounds Humans Glucosides Heart Failure Malaysia
Carcinoma, Merkel Cell Humans Skin Neoplasms United States Famous Persons
Switzerland Humans Physical Therapy Specialty Professional Role Evidence-Based Practice
Ultraviolet Rays Disinfection Ultrasonography Surface Properties Humans

Classifications MeSH