基于AHP的VOCs工业企业分级管控研究

A study on the hierarchical control of VOCs industrial enterprises based on the AHP methodology

  • 摘要: 挥发性有机物(VOCs)是细颗粒物(PM2.5)和臭氧(O3)的重要前体物之一。经过我国大气污染治理的不断推进,工业企业VOCs治理水平显著改善,进入了分级精准管控阶段。运用层次分析法(AHP)技术,构建地理位置、排放与反应活性、治理水平和经济效益4大准则层、7项评估指标,通过专家、环境管理工作者打分量化指标权重,建立了区分O3和PM2.5污染期的VOCs工业企业分级管控模型。将模型应用于宿迁市27家VOCs排放企业,基于实测和文献调研获得VOCs源成分谱,用于计算准确的反应活性数据。结果显示,评估指标中权重前3位的分别是反应活性(0.42)、与国控站点的方位(0.32)、与国控站点的距离(0.10);共采样实测20家企业VOCs源成分谱,结果与其他研究相符;臭氧污染期内20#、19#、25#、17#和8#企业属于重点管控企业,PM2.5污染期内9#、20#、19#、27#和25#企业属于重点管控企业;由于不同污染期内反应活性和风向变化,分级管控结果有所变化,其中27#、9#企业分别变化20个、18个位次,管控级别连跨两级及以上。

     

    Abstract: Volatile organic compounds (VOCs) are key precursors of fine particulate matter (PM2.5) and ozone (O3). The VOCs pollution control effectiveness in industrial enterprises has significantly improved, progressing into a phase of graded and precise management. Utilizing the  Analytic Hierarchy Process (AHP) technique, a hierarchical framework was constructued for VOCs-emitting industrial enterprises to differentiate between O3 and PM2.5 pollution periods. The model compromised four major criteria: geographical location, emissions and reactivity, governace level, and economic benefits, with seven evaluation indicators. Experts and environmental management professionals assigned scores to quantify the weight of these indicators. The model was applied to 27 VOCs-emitting enterprises in Suqian City, where actual measurements and literature reviews were used to obtain VOCs source profiles, allowing for the calculation of accurate reactivity data. The results indicated that the top three indicators in terms of weight are the reactivity(0.42), theorientation relative to national monitoring stations(0.32) and the distance from these stations(0.10). A total of 20 enterprises’ VOCs source profiles were collected through sampling, and the results were consistent with findings from other studies. During O3 pollution period, enterprises 20#, 19#, 25#,17 #, and 8# were identified as key targets for management, while during the PM2.5 pollution period, enterprises 9#, 20#, 19#, 27#, and 25# were highlighted. Due to variations in reactivity and wind direction across different pollution periods, the results of enterprise grading and control varied. Enterprise 27# and 9# shifted by 20 and 18 positions, respectively, with their control levels crossing two or more tiers.

     

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