Improvement of DOAS Technology in the Application of Mixed Gas Quantitative Analysis

Article Preview

Abstract:

According to difference absorption spectrum mixed gas absorption spectrum in technology overlapping problem, a DOAS technology based on the PSO and LS-SVM fusion method was proposed. First, SO2, NO respectively to construct a quantitative analysis model by LS-SVM, And then, using PSO is strong optimization ability of least square support vector machine (SVM) the optimization of the parameters of the algorithm, and then, LS-SVMs parameter are optimized with PSO of the powerful searching ability, Finally, rebuilt the quantitative analysis model. Experiments show that using the improved DOAS method is feasible in solving the mixed gas spectrum overlap problem which has certain practical significance.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

2265-2268

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] LIU Bin, etc. Concentration Retrieving Method of SO2 Using Differential Optical Absorption Spectroscopy Based on Statistics [J]. Spectroscopy and Spectral Analysis. 2011, 31(1): 197-200.

Google Scholar

[2] ZHANG Huimin, etc. Application and Analysis of Multi-Characteristic Spectrum in DOAS [D]. (2009).

Google Scholar

[3] GONG Ruikun, WANG Rulin. Study on Measurement Mechanism for the Concentration of Sulfur Dioxide [J]. Instrumentation Technology. 2005, (4).

Google Scholar

[4] XIE Pinhua, etc. Differential Optical Absorption Spectroscopy (DOAS) Technique Applied To Monitor Sulfur Dioxide In Flue Gas [J]. Acta Photonica Sinica 2000, 29(3): 271-276.

Google Scholar

[5] SUN Xiuyun, etc. Simultaneous Determination of Multi-component Air Pollution by Artificial Neural Network and FTIR Spectroscopy [J]. Spectroscopy and Spectral Analysis. 2003, 23(4): 739-741.

Google Scholar

[6] LI Ning, etc. Particle Swarm Optimization with Mutation Operator [J]. Computer Engineering and Applications. 2004, 40(17): 13-15.

Google Scholar

[7] Dooly G, Lewis E, Fitzpatrick C, et al.Low concentration monitoring of exhaust gases using a UV-based optical sensor [J]. IEEE Sensors Journal, 2007, 7(5): 685-691.

DOI: 10.1109/jsen.2007.894133

Google Scholar