中文摘要：

基于最小二乘回归，差分吸收光谱技术（DOAS）可以获得痕量气体的大气浓度.鉴于在复杂大气环境下，测量结果可能出现异常值以及误差的非正态分布，导致最小二乘回归估计偏差较大.针对这一情况，本文研究了利用稳健回归M估计来反演DOAS测量光谱数据的方法，讨论了估计过程和效果，并对正常谱和异常谱进行两者回归方法比较.研究结果表明基于稳健回归M估计方法收到了良好的效果，提高了回归可靠性.

英文摘要：

With differential optical absorption spectroscopy （DOAS）, trace gases in the atmosphere can be measured and its concentrations can be retrieved based on least squares regression. Under complicated atmospheric conditions, there are outliers and the error distribution is not normal in DOAS differential spectra, which resulted in misestimate of least-squares regression. The retrieving model of robust regression based on M-estimator was developed to evaluate concentrations of trace gases in DOAS system. The evaluation procedure and effects using M-estimator robust regression were studied. The normal spectrum and abnormal spectrum were retrieved basing on two methods. Experimental results show that reliability is improved with method of robust regression in DOAS evaluation.