差分吸收激光雷达探测对流层臭氧浓度时, 气溶胶的干扰会造成较大的误差。 提出了一种算法, 该算法能够同时反演得到对流层臭氧浓度和气溶胶消光系数, 减少气溶胶对反演结果的影响。 使用实验数据, 分析计算了气溶胶雷达比, 气溶胶波长指数、 标定点气溶胶后向散射比各种变化参数对反演结果的误差。 结果表明, 1 km以下, 各种变化参数造成的反演误差小于8%, 1 km以上臭氧浓度误差主要来源于信号和背景噪声, 各种参数反演误差小于3%。 最后给出了利用该算法得到对流层臭氧浓度和气溶胶的消光系数垂直廓线, 并和传统的双波长差分算法反演结果作了比较分析。 实验结果表明该算法是可行的, 该算法可以减少气溶胶对差分吸收激光雷达测量结果引起的误差。

Aerosols interfere with differential absorption lidar ozone concentration measurement and can introduce significant errors. A new retrieval method was introduced, and ozone concentration and aerosol extinction coefficient were gained simultaneously based on the retrieval method. The variables were analyzed by experiment including aerosol lidar ratio, aerosol wavelength exponent, and aerosol-molecular ratio at the reference point. The results show that these parameters introduce error less than 8% below 1 km. The measurement error derives chiefly from signal noise and the parameters introduce error less than 3% above 1 km. Finally the vertical profile of tropospheric ozone concentration and aerosol extinction coefficient were derived by using this algorithm. The retrieval results of the algorithm and traditional dual-wavelength difference algorithm are compared and analyzed. Experimental results indicate that the algorithm is feasible, and the algorithm can reduce differential absorption lidar measurement error introduced by aerosol.