石化企业VOCs无组织排放源强的反演模拟

针对石化行业面源无组织排放VOCs难以准确定量的问题,建立了基于开路式傅里叶变换红外光谱技术(OP-FTIR)的面源污染源源强反演模型,并进行了现场模拟试验。试验结果表明,风向、风速、大气稳定度、监测距离、数据处理周期等都是影响反演模型准确性的重要灵敏度参数。以反演源强Q_P与实际排放量Q的比值(Q_P/Q)为量化指标,对各影响因素进行优化处理,确定了构建反演模型适用的边界条件。当各灵敏度参数稳定于适用边界条件之内时,Q_P/Q为0.85~0.90。

Inversion simulation of VOCs unorganized emission source intensity of petrochemical enterprises

The unorganized VOCs emission of non-point source in petrochemical industry is difficult to quantify accurately. Aiming at this problem,an inversion model of non-point source pollution source intensity was established based on open-circuit Fourier transform infrared spectroscopy (OP-FTIR),and field simulation tests were carried out. The results show that wind direction,wind speed,atmospheric stability,monitoring distance and data processing cycle are all important sensitivity parameters affecting the accuracy of the inversion model. Then,taking the ratio of predicted emission value Q_P to actual emission value Q(Q_P/Q) as the quantitative index,the influencing factors were optimized and the boundary conditions applicable to construction of the inversion model was determined. When the sensitivity parameters are stable within the applicable boundary conditions,Q_P/Q is 0.85-0.90.