Ftir Measured Atmospheric Voc_s Spatial Concentration Distribution

In this research, Multivariate Curve Resolution—Alternating Least Squares(MCR-ALS) method combined with Computed Tomography (CT) technology wereapplied in the atmospheric environment monitoring of Remote Sensing FourierTransform Infrared Spectroscopy (RS-FTIR), to measure multi-components VolatileOrganic Compounds (VOC_S) concentration distribution in the two-dimensional plane atthe same time.Firstly, six kinds of remote sensing configurations were designed, which theposition of the FTIR and the number of lights were different. Then according to thecomputer simulation data, the best performance configuration was selected, and carriedon the further analysis of its influence factors, such as the noise level and the resolution.Some experiments of single component dispersing from a single source were completed.And the absorbency spectrograms of RS-FTIR were obtained. The concentrationdistribution map in the two-dimension plane was reconstructed according to theMaximum Likelihood with Expectation Maximization (MLEM) algorithm. The resultsshow the consistency with the sampling measurement.Secondly, the MCR-ALS method was applied to the infrared spectrogram analysisof multi-components VOC_S. The accurate rate of qualitative results was 100%. For theEPA data, the relatively error for quantitative analysis was 0.03%-1.18%. The RS-FTIRdata of three components (chloroform, acetone, and methylene chloride) from theexperiment was analyzed. The result was consistent to the outcome from theLambert-Beer law.Finally, the MCR-ALS method was associated with the RS-FTIR/CT technology.The data of RS-FTIR spectrogram of three components from three sources were analyzed.Then the two-dimensional concentration maps of each kind of matters were reconstructed,which could reach the goal of measuring the spatial concentration distribution ofatmosphere multi-components VOC_S timely.