Estimation of Chemical Oxygen Demand by Ultraviolet Spectroscopic Profiling and Physical Parameters Using IPW-PLS Algorithm

Jia Chen Li; Ping Jie Huang; Di Bo Hou; Guang Xin Zhang

doi:10.4028/www.scientific.net/AMM.316-317.606

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 316-317Estimation of Chemical Oxygen Demand by...

Estimation of Chemical Oxygen Demand by Ultraviolet Spectroscopic Profiling and Physical Parameters Using IPW-PLS Algorithm

Abstract:

In recent years, water pollution is increasing, especially organic pollution. The chemical oxygen demand (COD) is one of the most important evaluation index. Compared with the traditional chemical analysis method of COD, the method of spectrum analysis of organic pollutant concentration in water quality detection is fast, no chemical reagent and simple operation etc, and it is a kind of green testing technology. The current spectrum method of water quality analysis is usually based on single wavelength or the feature band extracted. It is lack of methods with the full spectrum scan. Based on water quality research,we choose the spectral analysis of COD as the objective. Combining the ultraviolet absorption spectrum with the conventional five physical parameters as the absorbance in the last wave band, we use the iterative predictor partial least squares algorithm to realize the rapid detection of water quality COD.

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Periodical:

Applied Mechanics and Materials (Volumes 316-317)

Pages:

606-609

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.316-317.606

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Online since:

April 2013

Authors:

Jia Chen Li, Ping Jie Huang, Di Bo Hou, Guang Xin Zhang

Keywords:

Chemical Oxygen Demand (COD), Physical Parameter, PLS, Water Quality

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References

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