针对大气痕量气体浓度的二维分布重建问题，本文提出了一种以差分吸收光谱断层扫描技术重构大气痕量气体空间分布的方法，用两台被动多轴差分吸收光谱系统 (MAX-DOAS)对待测烟羽进行层析扫描，使用 DOAS技术反演出的气体斜柱浓度，进而通过代数迭代算法(ART)把其中的浓度分布信息提取出来。采用高斯分布烟羽为重构对象，用数值模拟的方法对重构效果进行了研究分析，分析表明重建结果与模型基本一致，表明了气体分布测量方法的可行性。为了研究在实际测量中的误差对气体分布重建结果的影响，在投影数据中添加了不同比例的随机误差，研究表明，投影误差对气体浓度分布重建结果影响很小。

In view of two-dimensional distribution reconstruction of the atmospheric trace gas concentration, a new method, passive Differential Optical Absorption Spectroscopy (DOAS) tomography for atmospheric trace gas distribution reconstruction, is put forward. Two MAX–DOAS is applied to scan SO2 plume, the DOAS technique is used to inverse gas column concentration, and algebra iterative algorithm (ART) is applied to extract information of the concentration distribution. Moreover, the Gaussian plume is adopted as reconstruction object, and the method of numerical simulation is adopted to study and analyze reconstruction effect. The analysis shows that the reconstruction result is consistent basically with the model, so the method of gas distribution measurement is feasible. In order to study influence of error in the actual measurement on reconstruction results, the different random error is added to projection data. The study shows that a reconstruction result is insensitive to random error in projection data.