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Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030

Ship emissions contribute to air pollution, increasing the adverse health impacts on people living in coastal cities. We estimated the impacts caused by ship emissions, both on air quality and human health, in 2015 and future (2030) within the Pearl River Delta (PRD) region of China. In addition, we...

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Autores principales: Chen, Chen, Saikawa, Eri, Comer, Bryan, Mao, Xiaoli, Rutherford, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038890/
https://www.ncbi.nlm.nih.gov/pubmed/32159047
http://dx.doi.org/10.1029/2019GH000183
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author Chen, Chen
Saikawa, Eri
Comer, Bryan
Mao, Xiaoli
Rutherford, Dan
author_facet Chen, Chen
Saikawa, Eri
Comer, Bryan
Mao, Xiaoli
Rutherford, Dan
author_sort Chen, Chen
collection PubMed
description Ship emissions contribute to air pollution, increasing the adverse health impacts on people living in coastal cities. We estimated the impacts caused by ship emissions, both on air quality and human health, in 2015 and future (2030) within the Pearl River Delta (PRD) region of China. In addition, we assessed the potential health benefits of implementing an Emission Control Area (ECA) in the region by predicting avoided premature mortality with and without an ECA. In 2015, ship emissions increased PM(2.5) concentrations and O(3) mixing ratios by 1.4 μg/m(3) and 1.9 ppb, respectively, within the PRD region. This resulted in 466 and 346 excess premature acute deaths from PM(2.5) and O(3), respectively. Premature mortality from chronic exposures was even more significant, with 2,085 and 852 premature deaths from ship‐related PM(2.5) and O(3), respectively. In 2030, we projected the future ship emissions with and without an ECA, using two possible land scenarios. With an ECA, we predicted 76% reductions in SO(2) and 13% reductions in NO(x) from the shipping sector. Assuming constant land emissions from 2015 in 2030 (2030 Constant scenario), we found that an ECA could avoid 811 PM(2.5)‐related and 108 O(3)‐related deaths from chronic exposures. Using 2030 Projected scenario for land emissions, we found that an ECA would avoid 1,194 PM(2.5)‐related and 160 O(3)‐related premature deaths in 2030. In both scenarios, implementing an ECA resulted in 30% fewer PM(2.5)‐related premature deaths and 10% fewer O(3)‐related premature deaths, illustrating the importance of reducing ship emissions.
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spelling pubmed-70388902020-03-10 Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030 Chen, Chen Saikawa, Eri Comer, Bryan Mao, Xiaoli Rutherford, Dan Geohealth Research Articles Ship emissions contribute to air pollution, increasing the adverse health impacts on people living in coastal cities. We estimated the impacts caused by ship emissions, both on air quality and human health, in 2015 and future (2030) within the Pearl River Delta (PRD) region of China. In addition, we assessed the potential health benefits of implementing an Emission Control Area (ECA) in the region by predicting avoided premature mortality with and without an ECA. In 2015, ship emissions increased PM(2.5) concentrations and O(3) mixing ratios by 1.4 μg/m(3) and 1.9 ppb, respectively, within the PRD region. This resulted in 466 and 346 excess premature acute deaths from PM(2.5) and O(3), respectively. Premature mortality from chronic exposures was even more significant, with 2,085 and 852 premature deaths from ship‐related PM(2.5) and O(3), respectively. In 2030, we projected the future ship emissions with and without an ECA, using two possible land scenarios. With an ECA, we predicted 76% reductions in SO(2) and 13% reductions in NO(x) from the shipping sector. Assuming constant land emissions from 2015 in 2030 (2030 Constant scenario), we found that an ECA could avoid 811 PM(2.5)‐related and 108 O(3)‐related deaths from chronic exposures. Using 2030 Projected scenario for land emissions, we found that an ECA would avoid 1,194 PM(2.5)‐related and 160 O(3)‐related premature deaths in 2030. In both scenarios, implementing an ECA resulted in 30% fewer PM(2.5)‐related premature deaths and 10% fewer O(3)‐related premature deaths, illustrating the importance of reducing ship emissions. John Wiley and Sons Inc. 2019-09-30 /pmc/articles/PMC7038890/ /pubmed/32159047 http://dx.doi.org/10.1029/2019GH000183 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Chen, Chen
Saikawa, Eri
Comer, Bryan
Mao, Xiaoli
Rutherford, Dan
Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title_full Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title_fullStr Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title_full_unstemmed Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title_short Ship Emission Impacts on Air Quality and Human Health in the Pearl River Delta (PRD) Region, China, in 2015, With Projections to 2030
title_sort ship emission impacts on air quality and human health in the pearl river delta (prd) region, china, in 2015, with projections to 2030
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038890/
https://www.ncbi.nlm.nih.gov/pubmed/32159047
http://dx.doi.org/10.1029/2019GH000183
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