基于成像差分吸收光谱技术测量电厂SO_2排放方法研究  

Estimation of Sulfur Dioxide Emission from Power Plant Using Imaging Differential Optical Absorption Spectroscopy Technique

作　　者：刘进[1] 司福祺[1] 周海金[1] 赵敏杰[1] 窦科[1] 王煜[1] 刘文清[1] 

机构地区：[1]中国科学院安徽光学精密机械研究所环境光学与技术重点实验室,安徽合肥230031

出　　处：《光学学报》2015年第6期329-335,共7页Acta Optica Sinica

基　　金：国家自然科学基金(41275037)

摘　　要：介绍了一种测量烟羽污染气体二维分布的方法——成像差分吸收光谱(IDOAS)技术。该技术基于成像光谱仪,结合旋转平台实现对目标区域的二维扫描测量,获取目标区域的高光谱数据;采用差分吸收光谱(DOAS)算法对光谱进行处理,获取扫描区域内污染气体的二维分布图,进而对污染气体的分布及扩散趋势进行分析。对地基IDOAS系统及其测量原理进行了介绍,并开展外场实验,成功获取了电厂烟羽中的SO2二维分布图,实现电厂污染排放的可视化;对SO2排放率及平均浓度估算方法进行了分析,结合风速,利用获得的二维数据计算得到电厂SO2排放率及平均浓度分别为210 kg/h、6.7 mg/m3。A method for measuring the two-dimensional distribution of air pollutants from power plant - imaging differential optical absorption spectroscopy （IDOAS） technique is introduced. It is based on an imaging spectrometer combining with a rotating platform, which can realize two-dimensional scanning and hyperspectral measurement of the target area. The spectrum is calculated using the differential optical absorption spectroscopy （DOAS） algorithm to get two-dimensional distribution of pollutant gas in the area. Then the diffusion trend of pollutant can be further analyzed. The ground-based IDOAS system and its principle are introduced, and a field experiment is performed. During the field experiment, the two-dimensional distribution of SO2 from power plant smoke plume is acquired, realizing the visualization of power plant emissions. The SO2 emission rate and average concentration estimation method is analyzed combining with wind speed. The power plant SO2 emission rate and average concentration is evaluated respectively as 210 kg/h and 6.7 mg/m^3.

关 键 词：光谱学 二维分布 成像差分吸收光谱技术 SO2 排放率 

分 类 号：O433.4[机械工程—光学工程]