|
Sci Total Environ
Title: | "Deriving emission fluxes of volatile organic compounds from tower observation in the Pearl River Delta, China" |
|
Author(s): | Mo Z; Huang S; Yuan B; Pei C; Song Q; Qi J; Wang M; Wang B; Wang C; Li M; Zhang Q; Shao M; |
|
Address: | "Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China. Electronic address: shanhuang_eci@jnu.edu.cn. Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China. Electronic address: byuan@jnu.edu.cn. Guangzhou Environmental Monitoring Center, Guangzhou 510030, China. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. College of Environmental Sciences and Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China. Department of Earth System Science, Tsinghua University, Beijing 100084, China" |
|
Journal Title: | Sci Total Environ |
Year: | 2020 |
Volume: | 20200608 |
Issue: | |
Page Number: | 139763 - |
DOI: | 10.1016/j.scitotenv.2020.139763 |
|
ISSN/ISBN: | 1879-1026 (Electronic) 0048-9697 (Linking) |
|
Abstract: | "Accurate estimation of speciated emissions of volatile organic compounds (VOCs) is challenging due to the complexity of both species and sources. Evaluation of the bottom-up emission inventory (EI) by atmospheric observation is needed to better understand the VOC emissions and then to control air pollutions caused by VOCs. This study conducts vertical measurements of VOCs between November 3 and 11, 2018 at the Canton Tower in the urban core of Pearl River Delta (PRD), China. A mixed layer gradient (MLG) technique is applied to the tower observation data to derive emission fluxes for individual VOC. The results show that the measured VOCs concentrations at ground level were always higher than those at the heights of 118 m and 488 m. Obvious vertical gradients of concentrations were found for VOC species, such as benzene, toluene and isoprene. The emission flux was estimated to be largest for propane (3.29 mg m(-2) h(-1)), followed by toluene (2.55 mg m(-2) h(-1)), isoprene (2.24 mg m(-2) h(-1)), n-butane (2.10 mg m(-2) h(-1)) and iso-pentane (1.73 mg m(-2) h(-1)). The total VOC emission fluxes were around 3 times larger than those in the EI, suggesting 1.5-2 times underestimations of ozone formation potential (OFP) and secondary organic aerosol potential (SOAP) by current EI. Substantial underestimations (3-20 times) were found for C(2)-C(5) alkanes by current EI. Due to unmeasured input parameters, limited sample size and short sampling period, there are still large uncertainties (40%-117%) in the estimated emission fluxes for individual species. Whereas, this study shows that the tower observation and emission estimation using MLG method could provide useful information for better understanding vertical distributions and emission fluxes of VOCs, and pioneer in assessing the existing emission inventories at species-level and hour-level" |
|
Keywords: | Emission flux Emission inventory Tower measurement VOCs Vertical profile; |
|
Notes: | "PubMed-not-MEDLINEMo, Ziwei Huang, Shan Yuan, Bin Pei, Chenglei Song, Qicong Qi, Jipeng Wang, Ming Wang, Baolin Wang, Chen Li, Meng Zhang, Qiang Shao, Min eng Netherlands 2020/09/06 Sci Total Environ. 2020 Nov 1; 741:139763. doi: 10.1016/j.scitotenv.2020.139763. Epub 2020 Jun 8" |
|
|
|
|
|
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 21-11-2024
|