污染气体扫描成像红外被动遥测技术研究  

Investigation on Remote Measurement of Air Pollution by a Method of Infrared Passive Scanning Imaging

作　　者：焦洋[1] 徐亮[1] 高闽光[1] 冯明春[1] 金岭[1] 童晶晶[1] 李胜[1] 

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

出　　处：《光谱学与光谱分析》2012年第7期1754-1757,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(40905011;41105022);中国科学院知识创新工程重要方向项目(Y022091131)资助

摘　　要：傅里叶变换红外光谱技术可实现大气中污染气体的远程被动遥测。而污染气团的位置和分布,对于有害气体泄露情况下泄露位置勘查和污染扩散态势的评估来说是至关重要的。据此设计了一套红外被动成像遥测系统,系统由傅里叶变换光谱仪、数据采集处理软件、扫描系统、可见光成像系统和计算机组成。以六氟化硫为示踪气体,开展了遥测验证实验。通过非线性最小二乘算法结合辐射传输计算反演获得了目标气体的柱浓度,并用伪彩色图显示其分布情况,最后以可见光图像叠加伪彩色柱浓度分布图的形式显示结果。实验分析表明,该系统具有高探测灵敏度,并以可视化和定量的方式显示污染的空间分布情况。Passive remote sensing by Fourier-transform infrared （FTIR） spectrometry allows detection of air pollution. Howev- er, for the localization of a leak and a complete assessment of the situation in the case of the release of a hazardous cloud, infor- mation about the position and the distribution of a cloud is essential. Therefore, an imaging passive remote sensing system com- prising an interferometer, a data acquisition and processing software, scan system, a video system, and a personal computer has been developed. The remote sensing of SF6 was done. The column densities of all directions in which a target compound has been identified may be retrieved by a nonlinear least squares fitting algorithm and algorithm of radiation transfer, and a false color im- age is displayed. The results were visualized by a video image, overlaid by false color concentration distribution image. The sys- tem has a high selectivity, and allows visualization and quantification of pollutant clouds.

关 键 词：FTIR 被动遥测 伪彩色 浓度分布图 

分 类 号：O657.3[理学—分析化学]