VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit
To evaluate the effectiveness of measures to reduce the levels of volatile organic compounds (VOCs), which are important precursors of ground-level ozone formation, the real-time monitoring data of VOCs at the urban Zhaohui supersite (ZH), the Dianshan Lake regional supersite (DSL) and the urban Yix...
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MDPI AG
2021-07-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/12/7/928 |
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| author | Cheng Chen Lingrui Wang Yanhong Qin Yunjiang Zhang Shanshan Zheng Yifan Yang Shiguang Jin Xiaoxiao Yang |
| author_facet | Cheng Chen Lingrui Wang Yanhong Qin Yunjiang Zhang Shanshan Zheng Yifan Yang Shiguang Jin Xiaoxiao Yang |
| author_sort | Cheng Chen |
| collection | DOAJ |
| description | To evaluate the effectiveness of measures to reduce the levels of volatile organic compounds (VOCs), which are important precursors of ground-level ozone formation, the real-time monitoring data of VOCs at the urban Zhaohui supersite (ZH), the Dianshan Lake regional supersite (DSL) and the urban Yixing station (YX) in the Yangtze River Delta region were analyzed from 23 August to 15 September 2016 during the G20 Hangzhou Summit. The average mole ratios of VOCs at the three sites were 6.56, 21.33 and 19.62 ppb, respectively, which were lower than those (13.65, 27.72 and 21.38 ppb) after deregulation. The characteristics of the VOCs varied during the different control periods. Synoptic conditions and airmass transport played an important role in the transport and accumulation of VOCs and other pollutants, which affected the control effects. Using the positive matrix factorization (PMF) method in source apportionment, five factors were identified, namely, vehicle exhaust (19.66–31.47%), plants (5.59–17.07%), industrial emissions (13.14–33.82%), fuel vaporization (12.83–26.34%) and solvent usage (17.84–28.95%) for the ZH and YX sites. Factor 4 was identified as fuel vaporization + incomplete combustion (21.69–25.35%) at the DSL site. The Non-parametric Wind Regression (NWR) method showed that regional transport was the main factor influencing the VOC distribution. |
| first_indexed | 2024-03-10T09:45:39Z |
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| id | doaj.art-134f4c755a2348eda0df0adef64fab83 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T09:45:39Z |
| publishDate | 2021-07-01 |
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| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-134f4c755a2348eda0df0adef64fab832023-11-22T03:14:55ZengMDPI AGAtmosphere2073-44332021-07-0112792810.3390/atmos12070928VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 SummitCheng Chen0Lingrui Wang1Yanhong Qin2Yunjiang Zhang3Shanshan Zheng4Yifan Yang5Shiguang Jin6Xiaoxiao Yang7Jiangsu Environmental Monitoring Center, Nanjing 210004, ChinaKey Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Environmental Monitoring Center, Nanjing 210004, ChinaJiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaKey Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510632, ChinaTo evaluate the effectiveness of measures to reduce the levels of volatile organic compounds (VOCs), which are important precursors of ground-level ozone formation, the real-time monitoring data of VOCs at the urban Zhaohui supersite (ZH), the Dianshan Lake regional supersite (DSL) and the urban Yixing station (YX) in the Yangtze River Delta region were analyzed from 23 August to 15 September 2016 during the G20 Hangzhou Summit. The average mole ratios of VOCs at the three sites were 6.56, 21.33 and 19.62 ppb, respectively, which were lower than those (13.65, 27.72 and 21.38 ppb) after deregulation. The characteristics of the VOCs varied during the different control periods. Synoptic conditions and airmass transport played an important role in the transport and accumulation of VOCs and other pollutants, which affected the control effects. Using the positive matrix factorization (PMF) method in source apportionment, five factors were identified, namely, vehicle exhaust (19.66–31.47%), plants (5.59–17.07%), industrial emissions (13.14–33.82%), fuel vaporization (12.83–26.34%) and solvent usage (17.84–28.95%) for the ZH and YX sites. Factor 4 was identified as fuel vaporization + incomplete combustion (21.69–25.35%) at the DSL site. The Non-parametric Wind Regression (NWR) method showed that regional transport was the main factor influencing the VOC distribution.https://www.mdpi.com/2073-4433/12/7/928VOCscontrol and deregulationpositive matrix factorization (PMF)Yangtze river delta |
| spellingShingle | Cheng Chen Lingrui Wang Yanhong Qin Yunjiang Zhang Shanshan Zheng Yifan Yang Shiguang Jin Xiaoxiao Yang VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit Atmosphere VOCs control and deregulation positive matrix factorization (PMF) Yangtze river delta |
| title | VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit |
| title_full | VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit |
| title_fullStr | VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit |
| title_full_unstemmed | VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit |
| title_short | VOC Characteristics and Their Source Apportionment in the Yangtze River Delta Region during the G20 Summit |
| title_sort | voc characteristics and their source apportionment in the yangtze river delta region during the g20 summit |
| topic | VOCs control and deregulation positive matrix factorization (PMF) Yangtze river delta |
| url | https://www.mdpi.com/2073-4433/12/7/928 |
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