从理论和实验两方面分析了光谱线线宽随温度的变化规律。 将HITRAN数据库中常温下的线强参数修正到了测量温度, 进而得到合成校准光谱。 将合成校准光谱和实验测得的光谱进行非线性最小二乘拟合, 得到了不同温度下标准气体CO浓度。 这种反演算法的浓度误差在常温下不超过5%, 具有很高的精度, 但随温度升高浓度误差逐渐增大。 从残差光谱曲线看, 温度升高, 残差曲线中有与分析组分CO结构相同的明显结构。 而且温度越高, 这种结构越明显并且不能通过增加拟合次数来消除这种结构。 实验结果与理论分析的对比表明, 较高温度下出现的反演误差主要是由合成校准谱的温度修正方法不适用于高温气体所致。 这些结果对于准确修正光谱线参数以及怎样更准确反演高温下气体浓度的进一步研究都有重要意义。

The spectral line widths of theory and experiment are analyzed with different temperatures; the line strengths under room temperature in HITRAN database are corrected to measured temperature, and then synthetic spectra are calculated. With the nonlinear least squares fit between measured spectra and calibration spectra, standard gas concentrations of CO at different temperatures are obtained. The inversion concentration error of this algorithm at room temperature is less than 5% with high precision. But with the temperature increasing, the concentration error will increase gradually. At the same time, there is the same apparent structure to component CO in the residual spectrum. Also, with higher temperature, the structure is more obvious and can not be removed by increasing the number of fitting. Comparing experimental results and theoretical analysis, the temperature correction methods of calibration spectra, which are not suitable for high temperature gas, are the main reason for inversion error at higher temperature. These results have important significance for further research on accurately correcting parameters and how to inverse the high temperature gas concentrations more accurately.