高温气体浓度光谱分析中的温度修正方法

Temperature correction method about spectrum analysis of high temperature gas concentration

  • 摘要: 随着国内经济的高速发展,环境空气质量日益恶化,气体排放源监测成为环境科学领域中的一项重要研究工作。文中提出并实现了高温参考谱模型法和标气测定法,对合成校准光谱进行了温度修正,从而提高基于数值计算的非线性最小二乘算法在高温气体浓度反演时的精度。从实验测得的透过率光谱中反演了不同温度下标准气体CO的浓度。结果表明:相对于未采取温度修正措施的校准谱获得的浓度反演结果,精度有较大提高。文中的研究结果对于研究高温气体光谱特征、不断完善定量分析算法、准确监测非常温下气体排放浓度、红外制导等具有重要意义。

     

    Abstract: With the rapid economic development, the ambient air quality has been on the slide. Gas emission sources monitoring was an important research in the field of environment science. The high temperature reference spectral line model method and standard gas measurement method were put forward and realized, by which the synthetic calibration spectrum was corrected and the high temperature gas concentration retrieval accuracy was improved based on the nonlinear least square algorithm of numerical calculation. The concentrations of the standard gas CO were inversed under different temperatures by the experiment measured transmittance spectra. As a result, the accuracy has been improved greatly, comparing to concentration inversion results with no temperature correction calibration spectrum. The results in the paper were important for high temperature gas spectral features, perfecting quantitative analysis algorithm, accurately monitoring gas emissions concentration not at the room temperature, infrared guidance and so on.

     

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