基于环境空气中VOCs在线监测数据精准识别化工园区VOCs排放源

为精准识别化工园区环境空气VOCs排放源，2017年1月基于连续在线GC-FID法逐时监测某化工园区5个点环境空气中43种VOCs数据，运用统计分析法和PMF模型识别其来源，再结合CPF方法和企业排放信息达到精准化识别各排放源.结果表明，5个监测点平均VOCs体积分数为56.40×10^-9，除一个点其余点均以烷烃含量最高，主要是乙烷、丙烷、乙烯、甲苯、异丁烷、正丁烷和乙炔；园区环境空气中VOCs来自丁烷泄漏、工艺过程中排放、储罐排放、乙烯合成和城区传输这5个来源；基于气象传输路径分析和企业排放信息，识别出园区有7家化工企业以及园区外运河装卸区是观测期间VOCs的主要排放源.本研究以在线监测数据为基础，联合受体模型、气象条件及企业排放信息，实现了化工园区内VOCs污染来源的精准化定位，为园区内企业排放的监督和管理提供依据.

Accurate Identification of Ambient VOCs Emission Sources in an Industrial Park Using On-Line Monitoring Data

To accurately identify and locate ambient volatile organic compounds(VOCs)emission sources in industrial parks, a continuous online GC-FID method was used to monitor 43 kinds of VOCs on an hourly basis during January 2017 at five sites in an industrial park. A statistical analysis and a PMF model were used to analyze the sources of VOCs, and by combining with CPF and enterprise emission information, the location of each pollution source was accurately identified. The average VOCs concentration was 56.40×10^-9 and the highest concentration of alkanes was observed at four sites, with the exception of one site. Ethane, propane, ethylene, toluene, isobutane, n-butane, and acetylene were the main contributors. Ambient VOCs in the park mainly derives from five sources:urban transmission, butane leakage, process emissions, storage tank emissions, and ethylene synthesis. The enterprises in the zone B1, A1-A3, C1-C2, F4, E4-E6, F4-F6, and the canal loading and unloading area are the main emission areas of the pollution sources. Using online monitoring data, the research combined a PMF model, meteorological conditions, and corporate emissions information to achieve precise positioning of the pollution sources of VOCs in the industrial park, thus providing a basis for the supervision and management of corporate emissions in industrial parks.