基于光谱波段优化选择的FTIR测量与分析

在主动式红外遥感测量中，大气中痕量气体的红外吸收与不同红外波段的透过率光谱有关。在很多情况下，透过率光谱在光谱定量分析中起到重要的作用，因此，对测量和仿真的透过率光谱的波段进行优化选择是定量分析的关键。文章对最佳透过率测量范围进行了理论分析, 得到了对应于待测气体浓度反演相对误差最小的理论最佳透过率值;基于谱线的洛伦兹线型通过计算得到了待测气体分子的吸收截面, 同时给出了透过率光谱的校准训练集;确定了单组分CO₂光谱测量分析的波段，优化了多组分CO, CO₂和N₂O光谱同时测量分析的波段并成功地应用于开放光路光谱仪系统。光谱拟合分析结果表明，测量光谱与参考光谱得到了很好的拟合，拟合均方根误差小于1%。

FTIR Measurement and Analysis Based on the Selection of Optimized Spectral Band

In active infrared remote sensing measurements, the infrared absorption caused by the presence of trace gases in atmosphere is related to the transmittance spectra in different infrared wave band. In many cases, transmittance spectra play an important role in spectsal quantitative analysis. Thus, the selection of wave band to be optimized for the measured and simulated transmittance spectra is the key in quantitative analysis. In the present paper, the optimal measurement range of transmittance is analyzed theoretically, which causes the minimum relative error of the retrieved concentration. The cross section for the measured gas based on Lorentz line shape is derived by calculation. At the same time, the transmittance spectra calibration training set is presented. The measured and analyzed band is determined for single component CO2. The optimal measurement band is determined for multi-component measurement. The simultaneous measurement of CO, CO2 and N2O with open path FTIR spectrometer system is accomplished successfully. The measured transmittance spectra are in good agreement with the reference transmittance spectra. The root mean square error of fitting results is less than 1%.