Principal Component Regression Applied in Differential Optical Absorption Spectroscopy Measurement

摘要

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 (NO_2), sulfur dioxide (SO_2), ozone (O_3). Principal component analysis (PCA) was performed to analyze the retrieving concentrations. Results were obtained for estimated temporal NO, NO_2, SO_2, O_3 distributions over the urban atmosphere; demonstrating the capability of the principal component analysis applied in differential optical absorption spectroscopy (PCA-DOAS) technique.