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Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons
This study analyzed fire‐pollutant‐meteorological variables and their impact on cardio‐respiratory mortality in Portugal during wildfire season. Data of burned area, particulate matter with a diameter of 10 or 2.5 μm (μm) or less (PM(10), PM(2.5)), carbon monoxide (CO), nitrogen dioxide (NO(2)), ozo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558046/ https://www.ncbi.nlm.nih.gov/pubmed/37811341 http://dx.doi.org/10.1029/2023GH000802 |
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author | de Souza Fernandes Duarte, Ediclê Salgueiro, Vanda Costa, Maria João Lucio, Paulo Sérgio Potes, Miguel Bortoli, Daniele Salgado, Rui |
author_facet | de Souza Fernandes Duarte, Ediclê Salgueiro, Vanda Costa, Maria João Lucio, Paulo Sérgio Potes, Miguel Bortoli, Daniele Salgado, Rui |
author_sort | de Souza Fernandes Duarte, Ediclê |
collection | PubMed |
description | This study analyzed fire‐pollutant‐meteorological variables and their impact on cardio‐respiratory mortality in Portugal during wildfire season. Data of burned area, particulate matter with a diameter of 10 or 2.5 μm (μm) or less (PM(10), PM(2.5)), carbon monoxide (CO), nitrogen dioxide (NO(2)), ozone (O(3)), temperature, relative humidity, wind speed, aerosol optical depth and mortality rates of Circulatory System Disease (CSD), Respiratory System Disease (RSD), Pneumonia (PNEU), Chronic Obstructive Pulmonary Disease, and Asthma (ASMA), were used. Only the months of 2011–2020 wildfire season (June–July–August–September‐October) with a burned area greater than 1,000 ha were considered. Principal component analysis was used on fire‐pollutant‐meteorological variables to create two indices called Pollutant‐Burning Interaction (PBI) and Atmospheric‐Pollutant Interaction (API). PBI was strongly correlated with the air pollutants and burned area while API was strongly correlated with temperature and relative humidity, and O(3). Cluster analysis applied to PBI‐API divided the data into two Clusters. Cluster 1 included colder and wetter months and higher NO(2) concentration. Cluster 2 included warmer and dried months, and higher PM(10), PM(2.5), CO, and O(3) concentrations. The clusters were subjected to Principal Component Linear Regression to better understand the relationship between mortality and PBI‐API indices. Cluster 1 showed statistically significant (p‐value < 0.05) correlation (r) between RSDxPBI (r (RSD) = 0.58) and PNEUxPBI (r (PNEU) = 0.67). Cluster 2 showed statistically significant correlations between RSDxPBI (r (RSD) = 0.48), PNEUxPBI (r (PNEU) = 0.47), COPDxPBI (r (COPD) = 0.45), CSDxAPI (r (CSD) = 0.70), RSDxAPI (r (CSD) = 0.71), PNEUxAPI (r (PNEU) = 0.49), and COPDxAPI (r (PNEU) = 0.62). Cluster 2 analysis indicates that the warmest, driest, and most polluted months of the wildfire season were associated with cardio‐respiratory mortality. |
format | Online Article Text |
id | pubmed-10558046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105580462023-10-07 Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons de Souza Fernandes Duarte, Ediclê Salgueiro, Vanda Costa, Maria João Lucio, Paulo Sérgio Potes, Miguel Bortoli, Daniele Salgado, Rui Geohealth Research Article This study analyzed fire‐pollutant‐meteorological variables and their impact on cardio‐respiratory mortality in Portugal during wildfire season. Data of burned area, particulate matter with a diameter of 10 or 2.5 μm (μm) or less (PM(10), PM(2.5)), carbon monoxide (CO), nitrogen dioxide (NO(2)), ozone (O(3)), temperature, relative humidity, wind speed, aerosol optical depth and mortality rates of Circulatory System Disease (CSD), Respiratory System Disease (RSD), Pneumonia (PNEU), Chronic Obstructive Pulmonary Disease, and Asthma (ASMA), were used. Only the months of 2011–2020 wildfire season (June–July–August–September‐October) with a burned area greater than 1,000 ha were considered. Principal component analysis was used on fire‐pollutant‐meteorological variables to create two indices called Pollutant‐Burning Interaction (PBI) and Atmospheric‐Pollutant Interaction (API). PBI was strongly correlated with the air pollutants and burned area while API was strongly correlated with temperature and relative humidity, and O(3). Cluster analysis applied to PBI‐API divided the data into two Clusters. Cluster 1 included colder and wetter months and higher NO(2) concentration. Cluster 2 included warmer and dried months, and higher PM(10), PM(2.5), CO, and O(3) concentrations. The clusters were subjected to Principal Component Linear Regression to better understand the relationship between mortality and PBI‐API indices. Cluster 1 showed statistically significant (p‐value < 0.05) correlation (r) between RSDxPBI (r (RSD) = 0.58) and PNEUxPBI (r (PNEU) = 0.67). Cluster 2 showed statistically significant correlations between RSDxPBI (r (RSD) = 0.48), PNEUxPBI (r (PNEU) = 0.47), COPDxPBI (r (COPD) = 0.45), CSDxAPI (r (CSD) = 0.70), RSDxAPI (r (CSD) = 0.71), PNEUxAPI (r (PNEU) = 0.49), and COPDxAPI (r (PNEU) = 0.62). Cluster 2 analysis indicates that the warmest, driest, and most polluted months of the wildfire season were associated with cardio‐respiratory mortality. John Wiley and Sons Inc. 2023-10-06 /pmc/articles/PMC10558046/ /pubmed/37811341 http://dx.doi.org/10.1029/2023GH000802 Text en © 2023 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article de Souza Fernandes Duarte, Ediclê Salgueiro, Vanda Costa, Maria João Lucio, Paulo Sérgio Potes, Miguel Bortoli, Daniele Salgado, Rui Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title | Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title_full | Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title_fullStr | Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title_full_unstemmed | Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title_short | Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons |
title_sort | fire‐pollutant‐atmosphere components and its impact on mortality in portugal during wildfire seasons |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558046/ https://www.ncbi.nlm.nih.gov/pubmed/37811341 http://dx.doi.org/10.1029/2023GH000802 |
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