Share Email Print

Proceedings Paper

A new method for determination of chemical oxygen demand values in livestock wastewater by near-infrared spectroscopy
Author(s): Haiyan Cen; Yidan Bao; Yong He
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 27 October 2006
PDF: 5 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60472A (27 October 2006); doi: 10.1117/12.710999
Show Author Affiliations
Haiyan Cen, Zhejiang Univ. (China)
Yidan Bao, Zhejiang Univ. (China)
Yong He, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine
Kexin Xu; Qingming Luo; Da Xing; Alexander V. Priezzhev; Valery V. Tuchin, Editor(s)

© SPIE. Terms of Use
Back to Top