孟洁, 王静, 王亘, 宁晓宇, 李玮, 马波, 王健壮, 王浩, 肖咸德, 荆博宇. 基于异味走航监测技术的指纹谱构建方法——以某石化企业为例[J]. 北京工业大学学报, 2023, 49(12): 1282-1294. DOI: 10.11936/bjutxb2023070017
    引用本文: 孟洁, 王静, 王亘, 宁晓宇, 李玮, 马波, 王健壮, 王浩, 肖咸德, 荆博宇. 基于异味走航监测技术的指纹谱构建方法——以某石化企业为例[J]. 北京工业大学学报, 2023, 49(12): 1282-1294. DOI: 10.11936/bjutxb2023070017
    MENG Jie, WANG Jing, WANG Gen, NING Xiaoyu, LI Wei, MA Bo, WANG Jianzhuang, WANG Hao, XIAO Xiande, JING Boyu. Development of Fingerprint Spectrum Based on Odor Navigation Monitoring——Taking a Petrochemical Enterprise as an Example[J]. Journal of Beijing University of Technology, 2023, 49(12): 1282-1294. DOI: 10.11936/bjutxb2023070017
    Citation: MENG Jie, WANG Jing, WANG Gen, NING Xiaoyu, LI Wei, MA Bo, WANG Jianzhuang, WANG Hao, XIAO Xiande, JING Boyu. Development of Fingerprint Spectrum Based on Odor Navigation Monitoring——Taking a Petrochemical Enterprise as an Example[J]. Journal of Beijing University of Technology, 2023, 49(12): 1282-1294. DOI: 10.11936/bjutxb2023070017

    基于异味走航监测技术的指纹谱构建方法——以某石化企业为例

    Development of Fingerprint Spectrum Based on Odor Navigation Monitoring——Taking a Petrochemical Enterprise as an Example

    • 摘要: 针对石化行业异味投诉现象严重、异味组成不明的难题, 利用便携式电子鼻设备, 组合离子迁移技术和质谱技术, 建立异味污染走航监测系统, 并配合实验室分析检测, 对天津某大型石化企业进行异味污染排查与排放特征分析, 建立重点点位与区域成分谱, 并利用理论臭气浓度和气相色谱嗅觉检测分析方法, 确定气味成分, 绘制指纹谱图。结果表明: 便携式电子鼻走航测定的臭气浓度为10~1 100, 共发现异味事件14起, 含氧有机物、含氮有机物与烷烯烃的质量浓度较高, 确定重点污染区域包括装置区、污水处理区与危废储存区。基于三点比较式臭袋法测定有组织点位的臭气浓度范围为131~17 378, 根据《恶臭污染物排放标准》(DB12/059—2018)要求, 各点位均存在超标情况, 气味属性为煤气味、酸臭味、酒糟味与刺激胶臭味; 有组织与无组织点位共检出262种物质, 芳香烃、酮类、硫化物和烷烯烃是主要检出物质; 污水处理中有组织点位废气的总质量浓度与无组织点位废气的总质量浓度较高, 分别达到22.868 8、16.321 3 mg/m3; 基于物质质量浓度与检出率分析, 入选成分谱的物质共计37种, 包括硫化物、含氧有机物、烷烯烃、芳香烃与卤代烃; 指纹谱指标物质包括二氧化硫、二甲基二硫醚、乙醛、乙酸、萘、1-甲基萘、2-甲基萘、茚和1-甲基-1H-茚。

       

      Abstract: The petrochemical industry is one of the key targets of complaints, however, its odor pollution level, characteristics and cause are not clear. To address the problem, the portable electronic nose equipment independently developed with migration and mass spectrometry technology was used to establish a peculiar odor navigation monitoring system. The large petrochemical enterprise in Tianjin was investigated and analyzed by emission characteristics using this system and laboratory analysis methods. In addition, the key points and regional component spectra were established. The fingerprint was drawn by using theoretical odor concentration and gas chromatography-olfactometry analysis methods. Results show that the odor concentration levels of 10-1 100 were tested by electronic nose equipment, a total of 14 odor incidents were found, oxygenated compounds, nitrogenous compounds, alkane and alkene were the main odorants, and the key pollution areas were determined including the installation area, sewage treatment area and hazardous waste storage area. The odor concentrations in 4 processes exceeded the standard of Emission Standards for Odor Pollutants (DB12/059—2018). A total of 262 substances were detected in stack and fugitive emissions, of which aromatic hydrocarbons, ketones, sulfides, alkanes and alkenes were the main detected substances, and the total concentrations of stack and fugitive gas in sewage treatment were the highest, reaching 22.868 8 mg/m3 and 16.321 3 mg/m3, respectively. There were 37 substances selected for the source profile including sulfides, oxygenated organic compounds, alkanes, alkenes, aromatic hydrocarbons and halogenated hydrocarbons based on the concentration and detection rate. The fingerprint index substances included sulfur dioxide, dimethyl disulfide, acetaldehyde, acetic acid, naphthalene, 1-methylnaphthalene, 2-methylnaphthalene, indene and 1-methyl-1H-indene.

       

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