介绍了一种化工厂区污染气体排放通量实时监测的新方法， 即太阳掩星法傅里叶变换红外光谱技术(SOF-FTIR)， 提出了复杂条件下的背景谱、 测量谱和污染区域周边大气透过率谱获取模型。 通过对欲监测的污染源区域周边做闭合环路连续测量以获得测量光谱， 最终应用非线性最小二乘拟合算法对污染源区域污染气体的柱浓度信息进行反演， 并结合实验时气象参数以及GPS信息得到该区域污染气体的排放通量。 运用此方法实际遥测了某化工厂区氨气的排放情况， 并对氨气气体浓度分布及排放通量进行了定量分析。 相对于传统的FTIR监测方法， 该方法操作简单、 机动性强， 在污染气体区域监测以及其他污染源污染排放应急监测等应用领域具有良好的应用前景。

In the present paper, a new method is introduced for real-time monitoring polluted gas emission flux of chemical plant, which is called FTIR based on the solar occultation flux technique (SOF-FTIR). The model to obtain background spectrum, measured spectrum and atmospheric penetration rate surrounding polluted gas under complicated conditions is also proposed. Continuous measurements were preformed at a closed loop surrounding the contaminated areas that need to be mornitored to obtain measured spectrum, and finally column concentration of polluted gas was retrieved by using the nonlinear least squares fitting algorithm (NLLS). Then the flux information combined with the meteorological data and GPS information of the time was obtained when the experiments were done. Using this method， remote sensing experiment of ammonia emission around a chemical plant was done, and the concentration distribution and its emission flux was quantitatively analyzed. Compared with traditional FTIR methods of monitoring, this method is featured by convenient operation and high maneuverability, so it has a good application prospect in pollution monitoring and other applications in regional air pollution contingency monitoring.