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中国物理学会期刊

对差分光学吸收光谱法的监测数据进行实时预测研究

CSTR: 32037.14.aps.52.1307

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

CSTR: 32037.14.aps.52.1307
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  • 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.

     

    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.

     

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