Wei Xiao, Zhang Yong-Jie, Wang Pei-Tao, Hong Yan, Xia Rui, Gao Wei
Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.
Guangzhou Hexin Instrument Co., Ltd., Guangzhou 510530, China.
Huan Jing Ke Xue. 2022 Apr 8;43(4):1788-1798. 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 monitoring period, the contribution of chlorobenzene emissions and the number of early warnings were much higher than those of other species. Compared with that of other species, the frequency of abnormal emissions of butene was higher, and the frequency of abnormal emissions of toluene was lower. Among the top ten species, only chlorobenzene had significant concentration changes in different monitoring sites. Ambient VOCs in the plant mainly came from six sources:butene emission, toluene emission, chlorobenzene emission, solvent use, sulfur-related processes, and industrial production. Based on the CBPF results of each pollution source factor relative to the ten monitoring stations, the local pollution source and external pollution source in the plant were distinguished, and the specific location of the local pollution source and the transmission direction of the external pollution source were identified.
已建立了工业园区挥发性有机化合物(VOCs)无组织排放监测与溯源管理系统。该系统采用分布式多通道质谱法,对企业内部及厂界多个在线监测点进行连续监测,初步识别VOCs无组织排放源。基于在线监测数据,该系统结合正矩阵因子分解(PMF)模型和条件双变量概率函数(CBPF)方法,准确识别园区内不同尺度的污染源。该系统成功应用于泰州化工园区的一家医药化工厂,在厂区10个监测点进行了三个多月的VOCs在线监测。利用PMF模型分析了VOCs的来源,并通过CBPF方法确定了各污染源源因子的地理位置信息。监测期间,氯苯排放贡献及预警次数远高于其他物种。与其他物种相比,丁烯异常排放频率较高,甲苯异常排放频率较低。在前十种物质中,只有氯苯在不同监测点的浓度有显著变化。厂区内环境VOCs主要来自六个来源:丁烯排放、甲苯排放、氯苯排放、溶剂使用、涉硫工艺和工业生产。根据各污染源源因子相对于十个监测站的CBPF结果,区分了厂区内的本地污染源和外来污染源,确定了本地污染源的具体位置和外来污染源的传输方向。