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首页> 外文期刊>Aerosol and Air Quality Research >A Feasible Approach to Quantify Fugitive VOCs from Petrochemical Processes by Integrating Open-Path Fourier Transform Infrared Spectrometry Measurements and Industrial Source Complex (ISC) Dispersion Model
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A Feasible Approach to Quantify Fugitive VOCs from Petrochemical Processes by Integrating Open-Path Fourier Transform Infrared Spectrometry Measurements and Industrial Source Complex (ISC) Dispersion Model

机译：通过集成开放路径傅里叶变换红外光谱测量和工业源复杂（ISC）弥散模型来量化石化过程中挥发性有机化合物的可行方法

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Fugitive emissions are one of the largest sources of volatile organic compounds (VOCs) from petrochemical and chemical plants. However, how to quantify the total fugitive VOC emissions from numerous and mostly inaccessible sources is a time consuming and costly task. This study presents a feasible approach to quantify the fugitive VOC emissions by integrating OPFTIR measurements and the well-developed Industrial Source Complex Short Term Model (ISCST3). A mobile OPFTIR system was set up for 190 hours in the downwind location of a 1,3-butadiene manufacturing process, which has unidentified fugitive sources and should be responsible for the elevated atmospheric 1,3-butadiene concentrations. Wind speeds and directions were found to be the most important factors in the dispersion of the emissions. Therefore, when using trial and error to predict the fugitive 1,3-butadiene emission rates, we divided the field measurement data based on the wind directions and excluded that obtained during lower wind speeds. Then the correlation coefficients between the field data (from the mobile OPFTIR system) and the modeling data (from the ISCST3) were found to be up to 0.529, and the slope of the correlation equation was close to unity. Therefore, integrating the OPFTIR measurement and ISCST3 is a feasible approach to predict the amount of fugitive VOC emissions.
机译：逃逸排放是石化和化工厂最大的挥发性有机化合物（VOC）来源之一。然而，如何量化来自众多且几乎不可访问的来源的挥发性有机化合物总排放量是一项耗时且昂贵的任务。这项研究提出了一种可行的方法，可以通过将OPFTIR测量值与发达的工业源综合短期模型（ISCST3）集成在一起来量化挥发性有机化合物的挥发性排放。在1，3-丁二烯制造过程的顺风位置设置了一个移动OPFTIR系统190小时，该系统具有未知的逃犯来源，应负责增加大气中的1，3-丁二烯浓​​度。发现风速和风向是排放物扩散的最重要因素。因此，在使用试错法预测逃逸的1,3-丁二烯排放率时，我们根据风向划分了野外测量数据，并排除了在较低风速下获得的实测数据。然后，发现现场数据（来自移动OPFTIR系统）和建模数据（来自ISCST3）之间的相关系数高达0.529，并且相关方程的斜率接近于1。因此，将OPFTIR测量值与ISCST3集成在一起是一种预测挥发性有机化合物排放量的可行方法。

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