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Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China
Vehicular emissions have become an important source of air pollution, and their effective reduction control is essential to protect the environment. The aim of this study was to establish multi-year vehicular emission inventories for ten important air pollutants and to analyze emission control polic...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926843/ https://www.ncbi.nlm.nih.gov/pubmed/31795335 http://dx.doi.org/10.3390/ijerph16234790 |
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author | Song, Xiaowei Hao, Yongpei |
author_facet | Song, Xiaowei Hao, Yongpei |
author_sort | Song, Xiaowei |
collection | PubMed |
description | Vehicular emissions have become an important source of air pollution, and their effective reduction control is essential to protect the environment. The aim of this study was to establish multi-year vehicular emission inventories for ten important air pollutants and to analyze emission control policy scenarios based on these inventories. The inter-annual emission analysis results showed that the ten pollutant emissions had different change trends during the past decade. The emissions of CO, non-methane volatile organic compounds (NMVOC(S)), NO(x), PM(2.5), PM(10), and CH(4) tended to increase first and then decrease, but the years in which they began to decrease varied; the emissions of CO(2) and NH(3) showed the most significant growth trends, increasing by 567% and 4004% in 2015 compared with 1999, while the emissions of N(2)O and SO(2) showed a general increasing trend and decreased obviously in a certain year. Eight scenarios based on emission inventories were designed; compared with the BAU scenario, the ESV scenario was the most effective policy to control NO(x), PM(2.5), and CH(4) emissions; the radical AER scenario could decrease the vehicular emissions of CO, NMVOCs, PM(10), CO(2), N(2)O, and NH(3); and the RFS scenario could reduce vehicular SO(2) emissions significantly by 93.64%. |
format | Online Article Text |
id | pubmed-6926843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69268432019-12-23 Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China Song, Xiaowei Hao, Yongpei Int J Environ Res Public Health Article Vehicular emissions have become an important source of air pollution, and their effective reduction control is essential to protect the environment. The aim of this study was to establish multi-year vehicular emission inventories for ten important air pollutants and to analyze emission control policy scenarios based on these inventories. The inter-annual emission analysis results showed that the ten pollutant emissions had different change trends during the past decade. The emissions of CO, non-methane volatile organic compounds (NMVOC(S)), NO(x), PM(2.5), PM(10), and CH(4) tended to increase first and then decrease, but the years in which they began to decrease varied; the emissions of CO(2) and NH(3) showed the most significant growth trends, increasing by 567% and 4004% in 2015 compared with 1999, while the emissions of N(2)O and SO(2) showed a general increasing trend and decreased obviously in a certain year. Eight scenarios based on emission inventories were designed; compared with the BAU scenario, the ESV scenario was the most effective policy to control NO(x), PM(2.5), and CH(4) emissions; the radical AER scenario could decrease the vehicular emissions of CO, NMVOCs, PM(10), CO(2), N(2)O, and NH(3); and the RFS scenario could reduce vehicular SO(2) emissions significantly by 93.64%. MDPI 2019-11-29 2019-12 /pmc/articles/PMC6926843/ /pubmed/31795335 http://dx.doi.org/10.3390/ijerph16234790 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Xiaowei Hao, Yongpei Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title | Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title_full | Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title_fullStr | Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title_full_unstemmed | Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title_short | Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China |
title_sort | vehicular emission inventory and reduction scenario analysis in the yangtze river delta, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926843/ https://www.ncbi.nlm.nih.gov/pubmed/31795335 http://dx.doi.org/10.3390/ijerph16234790 |
work_keys_str_mv | AT songxiaowei vehicularemissioninventoryandreductionscenarioanalysisintheyangtzeriverdeltachina AT haoyongpei vehicularemissioninventoryandreductionscenarioanalysisintheyangtzeriverdeltachina |