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Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy

Outdoor workers are particularly exposed to climate conditions, and in particular, the increase of environmental temperature directly affects their health and productivity. For these reasons, in recent years, heat-health warning systems have been developed for workers generally using heat stress ind...

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Autores principales: Grifoni, Daniele, Messeri, Alessandro, Crisci, Alfonso, Bonafede, Michela, Pasi, Francesco, Gozzini, Bernardo, Orlandini, Simone, Marinaccio, Alessandro, Mari, Riccardo, Morabito, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466979/
https://www.ncbi.nlm.nih.gov/pubmed/34574860
http://dx.doi.org/10.3390/ijerph18189940
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author Grifoni, Daniele
Messeri, Alessandro
Crisci, Alfonso
Bonafede, Michela
Pasi, Francesco
Gozzini, Bernardo
Orlandini, Simone
Marinaccio, Alessandro
Mari, Riccardo
Morabito, Marco
author_facet Grifoni, Daniele
Messeri, Alessandro
Crisci, Alfonso
Bonafede, Michela
Pasi, Francesco
Gozzini, Bernardo
Orlandini, Simone
Marinaccio, Alessandro
Mari, Riccardo
Morabito, Marco
author_sort Grifoni, Daniele
collection PubMed
description Outdoor workers are particularly exposed to climate conditions, and in particular, the increase of environmental temperature directly affects their health and productivity. For these reasons, in recent years, heat-health warning systems have been developed for workers generally using heat stress indicators obtained by the combination of meteorological parameters to describe the thermal stress induced by the outdoor environment on the human body. There are several studies on the verification of the parameters predicted by meteorological models, but very few relating to the validation of heat stress indicators. This study aims to verify the performance of two limited area models, with different spatial resolution, potentially applicable in the occupational heat health warning system developed within the WORKLIMATE project for the Italian territory. A comparison between the Wet Bulb Globe Temperature predicted by the models and that obtained by data from 28 weather stations was carried out over about three summer seasons in different daily time slots, using the most common skill of performance. The two meteorological models were overall comparable for much of the Italian explored territory, while major limits have emerged in areas with complex topography. This study demonstrated the applicability of limited area models in occupational heat health warning systems.
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spelling pubmed-84669792021-09-27 Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy Grifoni, Daniele Messeri, Alessandro Crisci, Alfonso Bonafede, Michela Pasi, Francesco Gozzini, Bernardo Orlandini, Simone Marinaccio, Alessandro Mari, Riccardo Morabito, Marco Int J Environ Res Public Health Article Outdoor workers are particularly exposed to climate conditions, and in particular, the increase of environmental temperature directly affects their health and productivity. For these reasons, in recent years, heat-health warning systems have been developed for workers generally using heat stress indicators obtained by the combination of meteorological parameters to describe the thermal stress induced by the outdoor environment on the human body. There are several studies on the verification of the parameters predicted by meteorological models, but very few relating to the validation of heat stress indicators. This study aims to verify the performance of two limited area models, with different spatial resolution, potentially applicable in the occupational heat health warning system developed within the WORKLIMATE project for the Italian territory. A comparison between the Wet Bulb Globe Temperature predicted by the models and that obtained by data from 28 weather stations was carried out over about three summer seasons in different daily time slots, using the most common skill of performance. The two meteorological models were overall comparable for much of the Italian explored territory, while major limits have emerged in areas with complex topography. This study demonstrated the applicability of limited area models in occupational heat health warning systems. MDPI 2021-09-21 /pmc/articles/PMC8466979/ /pubmed/34574860 http://dx.doi.org/10.3390/ijerph18189940 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Grifoni, Daniele
Messeri, Alessandro
Crisci, Alfonso
Bonafede, Michela
Pasi, Francesco
Gozzini, Bernardo
Orlandini, Simone
Marinaccio, Alessandro
Mari, Riccardo
Morabito, Marco
Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title_full Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title_fullStr Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title_full_unstemmed Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title_short Performances of Limited Area Models for the WORKLIMATE Heat–Health Warning System to Protect Worker’s Health and Productivity in Italy
title_sort performances of limited area models for the worklimate heat–health warning system to protect worker’s health and productivity in italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466979/
https://www.ncbi.nlm.nih.gov/pubmed/34574860
http://dx.doi.org/10.3390/ijerph18189940
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