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Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China
Industrial parks contribute greatly to China’s economic development while emitting huge air pollutants. It is necessary to study the characteristics of air pollutant emissions in industrial parks. In this study, emission inventories for 11 industrial parks were established. Meanwhile, the source emi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660784/ https://www.ncbi.nlm.nih.gov/pubmed/34887496 http://dx.doi.org/10.1038/s41598-021-03193-z |
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author | Gao, Gengyu Wang, Shanshan Xue, Ruoyu Liu, Donghui Ren, He Zhang, Ruiqin |
author_facet | Gao, Gengyu Wang, Shanshan Xue, Ruoyu Liu, Donghui Ren, He Zhang, Ruiqin |
author_sort | Gao, Gengyu |
collection | PubMed |
description | Industrial parks contribute greatly to China’s economic development while emitting huge air pollutants. It is necessary to study the characteristics of air pollutant emissions in industrial parks. In this study, emission inventories for 11 industrial parks were established. Meanwhile, the source emission and spatial distribution characteristics of the industrial park were analyzed. The cluster analysis was used to classify these parks into “4Hs”, “Mixed” and “4Ls” parks. “4Hs”, “Mixed” and “4Ls” represent that the levels of energy intensity, economic proportion of energy-intensive industries, coal proportion and pollution performance value are high, medium and low in turn. Then three emission reduction measures were set up to estimate the emission reduction potential and environmental impacts. The results show that: (1) the emissions of SO(2), NO(x), CO, PM(10), PM(2.5), VOCs and NH(3) of 11 industrial parks in 2017 were 11.2, 23.1, 30.8, 8.3, 3.5, 5.1, and 1.1 kt, respectively. (2) Power plants were the largest source of SO(2) and NO(x) emissions, and industrial processes were the largest emission source of CO, PM(10), PM(2.5), VOCs and NH(3). (3) “4Hs” parks with traditional energy-intensive industries as the leading industries should be the emphasis of air pollutant emission reduction. (4) Through the optimal emission reduction measures, SO(2), NO(x), PM(10), PM(2.5) and VOCs were reduced by 81, 46, 51, 46 and 77%, respectively. Environmental impact reductions include 1.6 kt SO(2)eq acidified gas emissions, 1.4 kt PO(4)(3−)eq eutrophication substances, 4.2 kt PM(10)eq atmospheric particulate emissions, 7.0 kt 1,4-DCEeq human toxic substances, and 5.2 kt PM(2.5) eq breathing Inorganic. This study is helpful to understand the characteristics of air pollutants emissions in industrial parks and promotes the proposal and implementation of air pollutant emissions reduction strategies. |
format | Online Article Text |
id | pubmed-8660784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86607842021-12-13 Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China Gao, Gengyu Wang, Shanshan Xue, Ruoyu Liu, Donghui Ren, He Zhang, Ruiqin Sci Rep Article Industrial parks contribute greatly to China’s economic development while emitting huge air pollutants. It is necessary to study the characteristics of air pollutant emissions in industrial parks. In this study, emission inventories for 11 industrial parks were established. Meanwhile, the source emission and spatial distribution characteristics of the industrial park were analyzed. The cluster analysis was used to classify these parks into “4Hs”, “Mixed” and “4Ls” parks. “4Hs”, “Mixed” and “4Ls” represent that the levels of energy intensity, economic proportion of energy-intensive industries, coal proportion and pollution performance value are high, medium and low in turn. Then three emission reduction measures were set up to estimate the emission reduction potential and environmental impacts. The results show that: (1) the emissions of SO(2), NO(x), CO, PM(10), PM(2.5), VOCs and NH(3) of 11 industrial parks in 2017 were 11.2, 23.1, 30.8, 8.3, 3.5, 5.1, and 1.1 kt, respectively. (2) Power plants were the largest source of SO(2) and NO(x) emissions, and industrial processes were the largest emission source of CO, PM(10), PM(2.5), VOCs and NH(3). (3) “4Hs” parks with traditional energy-intensive industries as the leading industries should be the emphasis of air pollutant emission reduction. (4) Through the optimal emission reduction measures, SO(2), NO(x), PM(10), PM(2.5) and VOCs were reduced by 81, 46, 51, 46 and 77%, respectively. Environmental impact reductions include 1.6 kt SO(2)eq acidified gas emissions, 1.4 kt PO(4)(3−)eq eutrophication substances, 4.2 kt PM(10)eq atmospheric particulate emissions, 7.0 kt 1,4-DCEeq human toxic substances, and 5.2 kt PM(2.5) eq breathing Inorganic. This study is helpful to understand the characteristics of air pollutants emissions in industrial parks and promotes the proposal and implementation of air pollutant emissions reduction strategies. Nature Publishing Group UK 2021-12-09 /pmc/articles/PMC8660784/ /pubmed/34887496 http://dx.doi.org/10.1038/s41598-021-03193-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gao, Gengyu Wang, Shanshan Xue, Ruoyu Liu, Donghui Ren, He Zhang, Ruiqin Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title | Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title_full | Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title_fullStr | Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title_full_unstemmed | Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title_short | Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China |
title_sort | uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in henan, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660784/ https://www.ncbi.nlm.nih.gov/pubmed/34887496 http://dx.doi.org/10.1038/s41598-021-03193-z |
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