Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China
Abstract 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 distribu...
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Nature Portfolio
2018-02-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-018-21296-y |
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author | Ziwei Mo Min Shao Ying Liu Yang Xiang Ming Wang Sihua Lu Jiamin Ou Junyu Zheng Meng Li Qiang Zhang Xuemei Wang Liuju Zhong |
author_facet | Ziwei Mo Min Shao Ying Liu Yang Xiang Ming Wang Sihua Lu Jiamin Ou Junyu Zheng Meng Li Qiang Zhang Xuemei Wang Liuju Zhong |
author_sort | Ziwei Mo |
collection | DOAJ |
description | Abstract 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. |
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spelling | doaj.art-9e7658d6c2b3491aa6ffb485a0377ab52022-12-21T19:27:05ZengNature PortfolioScientific Reports2045-23222018-02-01811910.1038/s41598-018-21296-ySpecies-specified VOC emissions derived from a gridded study in the Pearl River Delta, ChinaZiwei Mo0Min Shao1Ying Liu2Yang Xiang3Ming Wang4Sihua Lu5Jiamin Ou6Junyu Zheng7Meng Li8Qiang Zhang9Xuemei Wang10Liuju Zhong11State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking UniversityState Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking UniversityState Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking UniversityState Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking UniversityJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science & TechnologyState Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking UniversitySchool of International Development, University of East AngliaInstitute for Environmental and Climate Research, Jinan UniversityMinistry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua UniversityMinistry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua UniversityInstitute for Environmental and Climate Research, Jinan UniversityInstitute for Environmental and Climate Research, Jinan UniversityAbstract 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.https://doi.org/10.1038/s41598-018-21296-y |
spellingShingle | Ziwei Mo Min Shao Ying Liu Yang Xiang Ming Wang Sihua Lu Jiamin Ou Junyu Zheng Meng Li Qiang Zhang Xuemei Wang Liuju Zhong Species-specified VOC emissions derived from a gridded study in the Pearl River Delta, China Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-018-21296-y |
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