Principal Component Regression Applied in Differential Optical Absorption Spectroscopy Measurement
Differential optical absorption spectroscopy (DOAS) is a well-established and widely used technique for monitoring atmospheric pollution. The month performance of a DOAS system was assessed at a certain place in Tianjin University, China, where is farther away from the industrial pollution a source. Three methods were used to inverse the hourly concentrations of nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3). Principal component analysis (PCA) was performed to analyze the retrieving concentrations. Results were obtained for estimated temporal NO, NO2, SO2, O3 distributions over the urban atmosphere; demonstrating the capability of the principal component analysis applied in differential optical absorption spectroscopy (PCA-DOAS) technique.