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在差分吸收光谱(DOAS)傅里叶变换(FFT)滤波数据处理中引入频谱校正,针对单组分SO2和NO2气体进行了实验研究,并进行了模拟谱线漂移的实验.结果表明:对于单组分SO2和NO2气体,传统的最小二乘法与校正FFT滤波法均能取得不错的效果,误差在5%以下,但校正FFT滤波法较FFT滤波法的效果更好;在漂移2个波长时校正FFT滤波法的最大误差为3.65%,传统最小二乘法的平均误差为32.80%,前者效果明显优于后者.
The spectrum correction was introduced in the DOAS (Fourier Transform) filter data processing, and the experiment of single-component SO2 and NO2 gas was carried out and the experiment of simulated spectral line drift was carried out. The results show that for single Components SO2 and NO2 gas, the traditional method of least square and the correction FFT filter can achieve good results, the error is less than 5%, but the correction FFT filtering method better than the FFT filter method; drift in the two wavelengths The maximum error of the corrected FFT filtering method is 3.65%, the average error of the traditional least square method is 32.80%, the former is obviously better than the latter.