Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields
International audience The 1783-1784 Laki eruption provides a natural experiment to evaluate the performance of chemistry-transport models in predicting the health impact of air particulate pollution. There are few existing daily meteorological observations during the second part of the 18 th centur...
Published in: | Scientific Reports |
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Main Authors: | , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2018
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Subjects: | |
Online Access: | https://hal.sorbonne-universite.fr/hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647/document https://hal.sorbonne-universite.fr/hal-01922647/file/s41598-018-34228-7.pdf https://doi.org/10.1038/s41598-018-34228-7 |
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ftecoleponts:oai:HAL:hal-01922647v1 |
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École des Ponts ParisTech: HAL |
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language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Balkanski, Yves Menut, Laurent Garnier, Emmanuel Wang, Rong Evangeliou, Nikolaos Jourdain, Sylvie Eschstruth, Celia Vrac, Mathieu Yiou, Pascal Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience The 1783-1784 Laki eruption provides a natural experiment to evaluate the performance of chemistry-transport models in predicting the health impact of air particulate pollution. There are few existing daily meteorological observations during the second part of the 18 th century. Hence, creating reasonable climatological conditions for such events constitutes a major challenge. We reconstructed meteorological fields for the period 1783-1784 based on a technique of analogues described in the Methods. Using these fields and including detailed chemistry we describe the concentrations of sulphur (SO 2 /SO 4) that prevail over the North Atlantic, the adjoining seas and Western Europe during these 2 years. To evaluate the model, we analyse these results through the prism of two datasets contemporary to the Laki period: • The date of the first appearance of 'dry fogs' over Europe, • The excess mortality recorded in French parishes over the period June-September 1783. The sequence of appearances of the dry fogs is reproduced with a very-high degree of agreement to the first dataset. High concentrations of SO 2 /SO 4 are simulated in June 1783 that coincide with a rapid rise of the number of deceased in French parishes records. We show that only a small part of the deceased of the summer of 1783 can be explained by the present-day relationships between PM2.5 and relative risk. The implication of this result is that other external factors such as the particularly warm summer of 1783, and the lack of health care at the time, must have contributed to the sharp increase in mortality over France recorded from June to September 1783. |
author2 |
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Laboratoire Chrono-environnement (UMR 6249) (LCE) Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) Department of Environmental Science and Engineering Shanghai Fudan University Shanghai Norwegian Institute for Air Research (NILU) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR) This work was granted access to the HPC resources of TGCC under allocation 2017-A0010102201 made by GENCI (Grand Equipement National de Calcul Intensif). ANR-09-CEPL-0002,CHEDaR(2009) European Project: 338965,EC:FP7:ERC,ERC-2013-ADG,A2C2(2014) |
format |
Article in Journal/Newspaper |
author |
Balkanski, Yves Menut, Laurent Garnier, Emmanuel Wang, Rong Evangeliou, Nikolaos Jourdain, Sylvie Eschstruth, Celia Vrac, Mathieu Yiou, Pascal |
author_facet |
Balkanski, Yves Menut, Laurent Garnier, Emmanuel Wang, Rong Evangeliou, Nikolaos Jourdain, Sylvie Eschstruth, Celia Vrac, Mathieu Yiou, Pascal |
author_sort |
Balkanski, Yves |
title |
Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
title_short |
Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
title_full |
Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
title_fullStr |
Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
title_full_unstemmed |
Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields |
title_sort |
mortality induced by pm2.5 exposure following the 1783 laki eruption using reconstructed meteorological fields |
publisher |
HAL CCSD |
publishDate |
2018 |
url |
https://hal.sorbonne-universite.fr/hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647/document https://hal.sorbonne-universite.fr/hal-01922647/file/s41598-018-34228-7.pdf https://doi.org/10.1038/s41598-018-34228-7 |
long_lat |
ENVELOPE(-18.237,-18.237,64.070,64.070) |
geographic |
Laki |
geographic_facet |
Laki |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.sorbonne-universite.fr/hal-01922647 Scientific Reports, 2018, 8, pp.15896. ⟨10.1038/s41598-018-34228-7⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-34228-7 info:eu-repo/grantAgreement/EC/FP7/338965/EU/Atmospheric flow Analogues and Climate Change/A2C2 hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647/document https://hal.sorbonne-universite.fr/hal-01922647/file/s41598-018-34228-7.pdf doi:10.1038/s41598-018-34228-7 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1038/s41598-018-34228-7 |
container_title |
Scientific Reports |
container_volume |
8 |
container_issue |
1 |
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1801379986105434112 |
spelling |
ftecoleponts:oai:HAL:hal-01922647v1 2024-06-09T07:48:19+00:00 Mortality induced by PM2.5 exposure following the 1783 Laki eruption using reconstructed meteorological fields Balkanski, Yves Menut, Laurent Garnier, Emmanuel Wang, Rong Evangeliou, Nikolaos Jourdain, Sylvie Eschstruth, Celia Vrac, Mathieu Yiou, Pascal Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) Laboratoire Chrono-environnement (UMR 6249) (LCE) Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) Department of Environmental Science and Engineering Shanghai Fudan University Shanghai Norwegian Institute for Air Research (NILU) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR) This work was granted access to the HPC resources of TGCC under allocation 2017-A0010102201 made by GENCI (Grand Equipement National de Calcul Intensif). ANR-09-CEPL-0002,CHEDaR(2009) European Project: 338965,EC:FP7:ERC,ERC-2013-ADG,A2C2(2014) 2018-10-26 https://hal.sorbonne-universite.fr/hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647/document https://hal.sorbonne-universite.fr/hal-01922647/file/s41598-018-34228-7.pdf https://doi.org/10.1038/s41598-018-34228-7 en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-34228-7 info:eu-repo/grantAgreement/EC/FP7/338965/EU/Atmospheric flow Analogues and Climate Change/A2C2 hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647 https://hal.sorbonne-universite.fr/hal-01922647/document https://hal.sorbonne-universite.fr/hal-01922647/file/s41598-018-34228-7.pdf doi:10.1038/s41598-018-34228-7 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.sorbonne-universite.fr/hal-01922647 Scientific Reports, 2018, 8, pp.15896. ⟨10.1038/s41598-018-34228-7⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2018 ftecoleponts https://doi.org/10.1038/s41598-018-34228-7 2024-05-16T13:14:14Z International audience The 1783-1784 Laki eruption provides a natural experiment to evaluate the performance of chemistry-transport models in predicting the health impact of air particulate pollution. There are few existing daily meteorological observations during the second part of the 18 th century. Hence, creating reasonable climatological conditions for such events constitutes a major challenge. We reconstructed meteorological fields for the period 1783-1784 based on a technique of analogues described in the Methods. Using these fields and including detailed chemistry we describe the concentrations of sulphur (SO 2 /SO 4) that prevail over the North Atlantic, the adjoining seas and Western Europe during these 2 years. To evaluate the model, we analyse these results through the prism of two datasets contemporary to the Laki period: • The date of the first appearance of 'dry fogs' over Europe, • The excess mortality recorded in French parishes over the period June-September 1783. The sequence of appearances of the dry fogs is reproduced with a very-high degree of agreement to the first dataset. High concentrations of SO 2 /SO 4 are simulated in June 1783 that coincide with a rapid rise of the number of deceased in French parishes records. We show that only a small part of the deceased of the summer of 1783 can be explained by the present-day relationships between PM2.5 and relative risk. The implication of this result is that other external factors such as the particularly warm summer of 1783, and the lack of health care at the time, must have contributed to the sharp increase in mortality over France recorded from June to September 1783. Article in Journal/Newspaper North Atlantic École des Ponts ParisTech: HAL Laki ENVELOPE(-18.237,-18.237,64.070,64.070) Scientific Reports 8 1 |