Accurate Identification of Pollution Sources in a Chemical Enterprise Based on a Distributed Multi-channel VOCs Online Monitoring Mass Spectrometry System

• Published in: Huanjing kexue Vol. 43; no. 4; p. 1788
• Main Authors: Wei, Xiao, Zhang, Yong-Jie, Wang, Pei-Tao, Hong, Yan, Xia, Rui, Gao, Wei
• Format: Journal Article
• Language: Chinese
• Published: China 08.04.2022
• Subjects: Air Pollutants - analysis; Environmental Monitoring; Mass Spectrometry; Toluene - analysis; Vehicle Emissions - analysis; Volatile Organic Compounds - analysis; PMF receptor model; pollution sources; sources apportionment; industrial parks; volatile organic compounds (VOCs); conditional bivariate probability function (CBPF)
• ISSN: 0250-3301
• DOI: 10.13227/j.hjkx.202106131

A monitoring and traceability management system for unorganized emissions of volatile organic compounds (VOCs) in industrial parks has been established. This system uses distributed multi-channel mass spectrometry to continuously monitor multiple online monitoring points within the enterprise and the factory boundary to initially identify the source of unorganized emissions of VOCs. Based on online monitoring data, the system combined a positive matrix factorization (PMF) model and conditional bivariate probability function (CBPF) methods to accurately identify pollution sources of different scales in the park. The system was successfully applied to a pharmaceutical chemical factory in Taizhou Chemical Industry Park, and VOCs online monitoring was carried out for more than three months at 10 monitoring sites in the factory area. The sources of VOCs were analyzed using the PMF model, and the geographical location information of each pollution source factor was identified by the CBPF method. During the monitori