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首页> 外文会议>Tenth International Conference on Modelling, Monitoring and Management of Air Pollution Jul, 2002 City of Segovia >Calibration and validation methods for DOAS remote sensing systems
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Calibration and validation methods for DOAS remote sensing systems

机译：DOAS遥感系统的校准和验证方法

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摘要

This work presents a methodology, based on comprehensive measurements performed in the laboratory using an optical cell with fixed geometrical path (1 m), for the calibration and validation of a remote sensing system used in air quality analysis and control. The method was tested on a DOAS (Differential Optical Absorption Spectroscopy) system produced by "Kayser-Italia" , but is applicable to other equivalent remote sensors. In the laboratory it was possible to simulate atmospheric depth in the range of 1-500 ppmm, modulating the gas concentration inside an optical cell. To verify the gas calibration curve of the spectrometer, a measurement set of different gas optical paths inside the cell were used. The variation of cell gas concentration was obtained by means of a vacuum pump, starting from an initial filling of the cell using a cylinder mixture of the examined gas with N_2. The accurate value of the gas concentration was inferred from pressure measurement inside the cell. This procedure gives good results for SO_2 and NO_2 calibration test; for O_3 the calibration procedure is almost the same but there's the necessity of producing the gas during measurement itself. In the case of compounds with relatively high vapour pressures (such as aromatics), which are liquid at standard atmospheric pressure, the above-described measurements were preceded by an evaporation phase at low pressure (about 1-5 mb). This method makes it possible to obtain precise gas calibration curves, based on several points in the complete working span, by means of a single mixture cylinder or pure compound. The results are reliable and repetitive and the method is also applicable in field measurements. Six gases were analysed (SO_2, NO_2, O_3, Benzene, Toluene, Xylene) and their calibration curves and ACS (Absolute Cross Section) are presented.
机译：这项工作提出了一种方法，该方法基于在实验室中使用具有固定几何路径（1 m）的光学元件进行的全面测量，用于校准和验证用于空气质量分析和控制的遥感系统。该方法在由“ Kayser-Italia”生产的DOAS（差分光学吸收光谱）系统上进行了测试，但适用于其他等效的远程传感器。在实验室中，可以模拟1-500 ppmm范围内的大气深度，从而调节光学单元内部的气体浓度。为了验证光谱仪的气体校准曲线，使用了单元内部不同气体光路的测量集。借助于真空泵获得了电池气体浓度的变化，该过程从使用被测气体与N_2的气瓶混合气对电池进行初始填充开始。气体浓度的准确值是根据电池内部的压力测量得出的。该程序为SO_2和NO_2校准测试提供了良好的结果。对于O_3，校准过程几乎相同，但是有必要在测量过程中自行产生气体。在具有较高蒸气压的化合物（例如芳族化合物）的情况下，其在标准大气压下为液体，在上述测量之前先进行低压（约1-5 mb）的蒸发阶段。该方法可以通过单个混合气瓶或纯化合物基于整个工作范围中的多个点获得精确的气体校准曲线。结果是可靠且重复的，该方法也适用于现场测量。分析了六种气体（SO_2，NO_2，O_3，苯，甲苯，二甲苯），并给出了它们的校准曲线和ACS（绝对截面）。

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