| Title: | A new classification approach to enhance future VOCs emission policies: Taking solvent-consuming industry as an example |
| Author(s): | Zhang X; Zhao W; Nie L; Shao X; Dang H; Zhang W; Wang D; |
| Address: | "State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Beijing Key Laboratory of Urban Atmospheric Volatile Organic Compounds Pollution Control and Application, Beijing Municipal Research Institute of Environment Protection, Beijing, 100037, China. State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China. Electronic address: wangdi@craes.org.cn" |
| DOI: | 10.1016/j.envpol.2020.115868 |
| ISSN/ISBN: | 1873-6424 (Electronic) 0269-7491 (Linking) |
| Abstract: | "Volatile organic compounds (VOCs) has consistently been linked to ozone (O(3)) and secondary organic aerosol (SOA) formation, and ongoing emission policies are primarily focusing on total VOCs without addressing the association between regulation measures and secondary pollution characteristic. For enhancing VOCs emission policy, we investigated potential formation of O(3) and SOA based on analyses of node-specific VOCs concentration and species distribution in solvent-consuming industry. Although aromatics were found to contribute most to O(3) and SOA formation averagely (2.57 +/- 2.14 g O(3)/g VOCs, 1.91 +/- 1.67 g SOA/g VOCs), however, large disparity concerning emission and secondary pollution profile were identified among different emission nodes which demonstrated that regulation policy should be formulated based on comprehensive pollution characteristic. Therefore, emission nodes were classified into four clusters through data normalization, formatting and classification process, including aromatics dominated (7 emission nodes), aromatics-alkene dominated (4 emission nodes), aromatics-alcohols dominated (4 emission nodes) and alcohols dominated (4 emission nodes). And different dominating VOCs species were further obtained in each cluster. Subsequently, focusing regulation measures of reducing O(3) and SOA for different emission source clusters were proposed to guide pollution prevention and enhance future VOCs emission policies" |
| Keywords: | *Air Pollutants/analysis China Environmental Monitoring *Ozone/analysis Policy Solvents *Volatile Organic Compounds/analysis Classification method Emission characteristic Emission policy Secondary pollution Volatile organic compounds (VOCs); |
| Notes: | "MedlineZhang, Xinmin Zhao, Wenjuan Nie, Lei Shao, Xia Dang, Hongyan Zhang, Weiqi Wang, Di eng England 2020/11/04 Environ Pollut. 2021 Jan 1; 268(Pt A):115868. doi: 10.1016/j.envpol.2020.115868. Epub 2020 Oct 27" |
