对差分光学吸收光谱法的监测数据进行实时预测研究

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

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 。

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 WAS 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.