对差分光学吸收光谱法的监测数据进行实时预测研究

差分光学吸收光谱法（DOAS）已经成为测量大气中微量气体浓度广泛应用的方法.通过对大气差分吸收光谱的分析可以得到它们的浓度.但在恶劣气候条件下，DOAS系统不能获得连续的实时监测数据，因此不能满足我国环境监测条例对环境监测子站的要求.文中提出了一种利用逐步回归分析的方法，对DOAS系统的监测数据进行实时预测.通过大量的对比实验表明，利用该方法得到的预测结果与实际测量结果一致，目前该技术已经被应用于DOAS监测仪器中. 关键词： 差分光学吸收光谱法（DOAS） 逐步回归分析 预测

Forecasting of the real-time data monitored by differential optical absorption spectroscopy method

Differential optical absorption spectroscopy (DOAS) has become a widely used method to measure trace gases in the atmosphere.Their concentrations can be retrieved by a numerical analysis of the atmospheric absorption spectra. But it has been found that DOAS could not gain continuous data under a bad weather condition.Thus it could not fully fit for the demand of the environment monitoring statute.A prediction technology has been developed, based on the step-wise regression analysis method.It is shown that the forecasting data using this method is consistent with the real data after doing a great deal of experiments. This technology has been used in practice.