A new method for determination of chemical oxygen demand values in livestock wastewater by near-infrared spectroscopy

Haiyan Cen; Yidan Bao; Yong He

doi:10.1117/12.710999

27 October 2006 A new method for determination of chemical oxygen demand values in livestock wastewater by near-infrared spectroscopy

Haiyan Cen, Yidan Bao, Yong He

Author Affiliations +

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60472A (2006) https://doi.org/10.1117/12.710999
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

Abstract

The objective of this research was to analyze NIR spectroscopy potential to estimate COD in livestock wastewater. A total of 20 wastewater samples were taken from the Animal Institution of Zhejiang Agricultural Science Organization. We selected two kinds of containers with the sizes of l000mL and 2000mL for samples, because of the high absorption peaks in the near-infrared region (350-11OOnm) around 635nm. 14 samples spectra were used during the calibration and cross-validation stage. Five samples spectra were used to predict COD concentration in wastewater. NW spectra and constituents were related using partial least square (PLS) technique. The r² between measured and predicted values of COD of wastewater with l000mL and 2000mL, 0.9895 and 0.9985, as well as SEP showed table l, 22 and 32, respectively, demonstrated that NIR method have potential to predict COD in wastewater. While SEP and SEC is high, because the magnitude of COD value in livestock wastewater is high. In other words, higher magnitudes will result in high standard error values. However, the result also shows that NIR could be a good tool to be combined with environmental monitoring of water quality.

Citation Download Citation

Haiyan Cen, Yidan Bao, and Yong He "A new method for determination of chemical oxygen demand values in livestock wastewater by near-infrared spectroscopy", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472A (27 October 2006); https://doi.org/10.1117/12.710999

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