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Sci Total Environ

Title:		High-density volatile organic compound monitoring network for identifying pollution sources
Author(s):		Li Z; Ma Z; Zhang Z; Zhang L; Tian E; Zhang H; Yang R; Zhu D; Li H; Wang Z; Zhang Y; Xu P; Xu Y; Wang D; Wang G; Kim M; Yuan Y; Qiao X; Li M; Xie Y; Guo S; Liu K; Jiang J;
Address:		"State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China. Electronic address: zehuili@pku.edu.cn. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China; School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China. School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, China. TC Air Technology Limited Company, Beijing, China. State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China. Beijing Capital Air Environment Technology Limited Company, Beijing, China. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China. Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China. Department of Building Environment and Energy Engineering, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, China. School of Materials Science and Engineering, Peking University, Beijing, China. State Key Laboratory for Mesoscopic Physics, Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing, China. Electronic address: khliu@pku.edu.cn. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China. Electronic address: jiangjk@tsinghua.edu.cn"
Journal Title:		Sci Total Environ
Year:		2023
Volume:		20220917
Issue:
Page Number:		158872 -
DOI:		10.1016/j.scitotenv.2022.158872
ISSN/ISBN:		1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:		"The elusive sources of air pollution have hampered effective control across all sectors, with long-term consequences for the greenhouse effect and human health. Multiple monitoring systems have been highly desired for locating the sources. However, when faced with extensive sources, diverse air environments and meteorological conditions, the low spatiotemporal resolution, poor reliability and high cost of existing monitors were significant obstacles to their applications. Extending our previous demonstration of sensitive and reliable electrochemical sensors, we here present a machine-learning-assisted sensor arrays for monitoring typical volatile organic compounds (VOCs), which shows the consistent response with gas chromatography-mass spectrometry in the actual air environment. As a proof-of-concept, a low-cost and high-resolution VOC network of 152 sets of monitors across ~55 km(2) of mixed-used land is established in southwest Beijing. Benefiting from the strong reliability, the pollution sources are revealed by the VOC network and supported by the joint mobile sampling of a vehicle-mounted gas chromatography-mass spectrometry system. With the sustained help of the network, the sources polluted by the local industrial facilities, traffic, and restaurants are effectively site-specific abatement by the local authorities and enterprises during the next half-year. Our findings open up a promising path toward more effective tracing of regional pollution sources, as well as accelerate the long-term transformation of industry and cities"
Keywords:		Humans *Volatile Organic Compounds/analysis *Air Pollutants/analysis Reproducibility of Results Environmental Monitoring/methods *Air Pollution/analysis China *Ozone/analysis Abatement Anthropogenic sources Electrochemical sensor array High emission ident;
Notes:		"MedlineLi, Zehui Ma, Zizhen Zhang, Zhan Zhang, Lingling Tian, Enze Zhang, Haiteng Yang, Ruiyao Zhu, Diwei Li, Hui Wang, Ziyi Zhang, Yinglei Xu, Pingchuan Xu, Yuexin Wang, Dongbin Wang, Gang Kim, Minjung Yuan, Yi Qiao, Xiaohui Li, Mingjie Xie, Yangyang Guo, Shaojun Liu, Kaihui Jiang, Jingkun eng Netherlands 2022/09/20 Sci Total Environ. 2023 Jan 10; 855:158872. doi: 10.1016/j.scitotenv.2022.158872. Epub 2022 Sep 17"