Health and economic impacts of ozone ship-related air pollution in Portugal

Detalhes bibliográficos
Autor(a) principal: Rafael A. O. Nunes
Data de Publicação: 2019
Outros Autores: Conceição Alvim Ferraz, Fernando G. Martins, Jukka-Pekka Jalkanen, Hanna Hannuniemi, Sofia I. V. Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/122428
Resumo: Air pollution is the leading cause of the global burden of disease from the environment, entailing substantial economic consequences. International shipping is a significant source of NOx, SO2, CO and PM, which contributes to the increase in O3 levels that can cause known negative health impacts. Thus, this study aimed to estimate the health impacts of ozone ship-related air pollution in Portugal in 2015. To determine the health-related effects of this sector, shipping emissions were obtained from an Automatic Identification System based emission inventory using the Ship Traffic Emission Assessment Model (STEAM). Their contributions to SOMO35 (sum of ozone daily 8-h maximum means over 35 ppb in the calendar year, expressed in ppb per day) levels in Portugal were modelled using the EMEP/MSC-W chemistry transport model (simulations with and without shipping emissions). Log-linear functions based on WHO-HRAPIE relative risks for each health endpoint (all-cause and respiratory mortality, and cardiovascular and respiratory hospital admissions) were used to estimate the attributable fractions. Then, the excess burden of disease was calculated by multiplying the attributable fractions with the baseline incidence of each health endpoint and the population at LAU2 level. Costs associated with the health impacts were estimated as the product of the excess burden of disease and its unit health cost value. Shipping emissions contributed to an increase of 21% in the number of deaths for all-cause mortality and respiratory diseases, as well as hospital admissions for cardiovascular and respiratory diseases. A total external cost of around 180 (86-266) M€ a yr-1 was estimated for these health endpoints in 2015. These results show that O3-related air pollution from ships is a considerable problem affecting the Portuguese population. (c) 2019 WIT Press
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spelling Health and economic impacts of ozone ship-related air pollution in PortugalAir pollution is the leading cause of the global burden of disease from the environment, entailing substantial economic consequences. International shipping is a significant source of NOx, SO2, CO and PM, which contributes to the increase in O3 levels that can cause known negative health impacts. Thus, this study aimed to estimate the health impacts of ozone ship-related air pollution in Portugal in 2015. To determine the health-related effects of this sector, shipping emissions were obtained from an Automatic Identification System based emission inventory using the Ship Traffic Emission Assessment Model (STEAM). Their contributions to SOMO35 (sum of ozone daily 8-h maximum means over 35 ppb in the calendar year, expressed in ppb per day) levels in Portugal were modelled using the EMEP/MSC-W chemistry transport model (simulations with and without shipping emissions). Log-linear functions based on WHO-HRAPIE relative risks for each health endpoint (all-cause and respiratory mortality, and cardiovascular and respiratory hospital admissions) were used to estimate the attributable fractions. Then, the excess burden of disease was calculated by multiplying the attributable fractions with the baseline incidence of each health endpoint and the population at LAU2 level. Costs associated with the health impacts were estimated as the product of the excess burden of disease and its unit health cost value. Shipping emissions contributed to an increase of 21% in the number of deaths for all-cause mortality and respiratory diseases, as well as hospital admissions for cardiovascular and respiratory diseases. A total external cost of around 180 (86-266) M€ a yr-1 was estimated for these health endpoints in 2015. These results show that O3-related air pollution from ships is a considerable problem affecting the Portuguese population. (c) 2019 WIT Press20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/122428eng1743-354110.2495/AIR190211Rafael A. O. NunesConceição Alvim FerrazFernando G. MartinsJukka-Pekka JalkanenHanna HannuniemiSofia I. V. Sousainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:19:41Zoai:repositorio-aberto.up.pt:10216/122428Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:59:00.899029Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Health and economic impacts of ozone ship-related air pollution in Portugal
title Health and economic impacts of ozone ship-related air pollution in Portugal
spellingShingle Health and economic impacts of ozone ship-related air pollution in Portugal
Rafael A. O. Nunes
title_short Health and economic impacts of ozone ship-related air pollution in Portugal
title_full Health and economic impacts of ozone ship-related air pollution in Portugal
title_fullStr Health and economic impacts of ozone ship-related air pollution in Portugal
title_full_unstemmed Health and economic impacts of ozone ship-related air pollution in Portugal
title_sort Health and economic impacts of ozone ship-related air pollution in Portugal
author Rafael A. O. Nunes
author_facet Rafael A. O. Nunes
Conceição Alvim Ferraz
Fernando G. Martins
Jukka-Pekka Jalkanen
Hanna Hannuniemi
Sofia I. V. Sousa
author_role author
author2 Conceição Alvim Ferraz
Fernando G. Martins
Jukka-Pekka Jalkanen
Hanna Hannuniemi
Sofia I. V. Sousa
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rafael A. O. Nunes
Conceição Alvim Ferraz
Fernando G. Martins
Jukka-Pekka Jalkanen
Hanna Hannuniemi
Sofia I. V. Sousa
description Air pollution is the leading cause of the global burden of disease from the environment, entailing substantial economic consequences. International shipping is a significant source of NOx, SO2, CO and PM, which contributes to the increase in O3 levels that can cause known negative health impacts. Thus, this study aimed to estimate the health impacts of ozone ship-related air pollution in Portugal in 2015. To determine the health-related effects of this sector, shipping emissions were obtained from an Automatic Identification System based emission inventory using the Ship Traffic Emission Assessment Model (STEAM). Their contributions to SOMO35 (sum of ozone daily 8-h maximum means over 35 ppb in the calendar year, expressed in ppb per day) levels in Portugal were modelled using the EMEP/MSC-W chemistry transport model (simulations with and without shipping emissions). Log-linear functions based on WHO-HRAPIE relative risks for each health endpoint (all-cause and respiratory mortality, and cardiovascular and respiratory hospital admissions) were used to estimate the attributable fractions. Then, the excess burden of disease was calculated by multiplying the attributable fractions with the baseline incidence of each health endpoint and the population at LAU2 level. Costs associated with the health impacts were estimated as the product of the excess burden of disease and its unit health cost value. Shipping emissions contributed to an increase of 21% in the number of deaths for all-cause mortality and respiratory diseases, as well as hospital admissions for cardiovascular and respiratory diseases. A total external cost of around 180 (86-266) M€ a yr-1 was estimated for these health endpoints in 2015. These results show that O3-related air pollution from ships is a considerable problem affecting the Portuguese population. (c) 2019 WIT Press
publishDate 2019
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