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Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China
This study provides a top-down approach to establish an emission inventory of volatile organic compounds (VOC) based on ambient measurements, by combining the box model and positive matrix factorization (PMF) model. Species-specified VOC emissions, source contributions, and spatial distributions are...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813039/ https://www.ncbi.nlm.nih.gov/pubmed/29445109 http://dx.doi.org/10.1038/s41598-018-21296-y |
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author | Mo, Ziwei Shao, Min Liu, Ying Xiang, Yang Wang, Ming Lu, Sihua Ou, Jiamin Zheng, Junyu Li, Meng Zhang, Qiang Wang, Xuemei Zhong, Liuju |
author_facet | Mo, Ziwei Shao, Min Liu, Ying Xiang, Yang Wang, Ming Lu, Sihua Ou, Jiamin Zheng, Junyu Li, Meng Zhang, Qiang Wang, Xuemei Zhong, Liuju |
author_sort | Mo, Ziwei |
collection | PubMed |
description | This study provides a top-down approach to establish an emission inventory of volatile organic compounds (VOC) based on ambient measurements, by combining the box model and positive matrix factorization (PMF) model. Species-specified VOC emissions, source contributions, and spatial distributions are determined based on regional-scale gridded measurements between September 2008 to December 2009 in the Pearl River Delta (PRD), China. The most prevalent anthropogenic species in the PRD was toluene estimated by the box model to be annual emissions of 167.8 ± 100.5 Gg, followed by m,p-xylene (68.0 ± 45.0 Gg), i-pentane (49.2 ± 40.0 Gg), ethene (47.6 ± 27.6 Gg), n-butane (47.5 ± 40.7 Gg), and benzene (46.8 ± 29.0 Gg). Alkanes such as propane, i-butane, and n-pentane were 2–8 times higher in box model than emission inventories (EI). Species with fewer emissions were highly variable between EI and box model results. Hotspots of VOC emissions were identified in southwestern PRD and port areas, which were not reflected by bottom-up EI. This suggests more research is needed for VOC emissions in the EI, especially for fuel evaporation, industrial operations and marine vessels. The species-specified top-down method can help improve the quality of these emission inventories. |
format | Online Article Text |
id | pubmed-5813039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58130392018-02-21 Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China Mo, Ziwei Shao, Min Liu, Ying Xiang, Yang Wang, Ming Lu, Sihua Ou, Jiamin Zheng, Junyu Li, Meng Zhang, Qiang Wang, Xuemei Zhong, Liuju Sci Rep Article This study provides a top-down approach to establish an emission inventory of volatile organic compounds (VOC) based on ambient measurements, by combining the box model and positive matrix factorization (PMF) model. Species-specified VOC emissions, source contributions, and spatial distributions are determined based on regional-scale gridded measurements between September 2008 to December 2009 in the Pearl River Delta (PRD), China. The most prevalent anthropogenic species in the PRD was toluene estimated by the box model to be annual emissions of 167.8 ± 100.5 Gg, followed by m,p-xylene (68.0 ± 45.0 Gg), i-pentane (49.2 ± 40.0 Gg), ethene (47.6 ± 27.6 Gg), n-butane (47.5 ± 40.7 Gg), and benzene (46.8 ± 29.0 Gg). Alkanes such as propane, i-butane, and n-pentane were 2–8 times higher in box model than emission inventories (EI). Species with fewer emissions were highly variable between EI and box model results. Hotspots of VOC emissions were identified in southwestern PRD and port areas, which were not reflected by bottom-up EI. This suggests more research is needed for VOC emissions in the EI, especially for fuel evaporation, industrial operations and marine vessels. The species-specified top-down method can help improve the quality of these emission inventories. Nature Publishing Group UK 2018-02-14 /pmc/articles/PMC5813039/ /pubmed/29445109 http://dx.doi.org/10.1038/s41598-018-21296-y Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mo, Ziwei Shao, Min Liu, Ying Xiang, Yang Wang, Ming Lu, Sihua Ou, Jiamin Zheng, Junyu Li, Meng Zhang, Qiang Wang, Xuemei Zhong, Liuju Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title | Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title_full | Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title_fullStr | Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title_full_unstemmed | Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title_short | Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China |
title_sort | species-specified voc emissions derived from a gridded study in the pearl river delta, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813039/ https://www.ncbi.nlm.nih.gov/pubmed/29445109 http://dx.doi.org/10.1038/s41598-018-21296-y |
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