Influence of temperature and turbidity on water COD detection by UV absorption spectroscopy

Ultraviolet（UV） absorption spectroscopy is used to detect the concentration of water chemical oxygen demand（COD）. The UV absorption spectra of COD solutions are analyzed qualitatively and quantitatively. The partial least square（PLS） algorithm is used to model COD solution and the modeling results a...

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Bibliographic Details
Published inOptoelectronics letters Vol. 12; no. 6; pp. 461 - 464
Main Author 周昆鹏 毕卫红 张启航 付兴虎 吴国庆
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University of Technology 01.11.2016
Springer Nature B.V
Subjects
Absorption spectra
Absorption spectroscopy
Chemical oxygen demand
Error detection
Lasers
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Regression analysis
Regression models
Spectrum analysis
Turbidity
Ultraviolet absorption
Ultraviolet radiation
Ultraviolet spectroscopy
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Summary:Ultraviolet（UV） absorption spectroscopy is used to detect the concentration of water chemical oxygen demand（COD）. The UV absorption spectra of COD solutions are analyzed qualitatively and quantitatively. The partial least square（PLS） algorithm is used to model COD solution and the modeling results are compared. The influence of environmental temperature and turbidity is analyzed. These results show that the influence of temperature on the predicted value can be ignored. However, the change of turbidity can affect the detection results of UV spectra, and the COD detection error can be effectively compensated by establishing the single-element regression model.
Bibliography:ZHOU Kun-peng 1,2, BI Wei-hong1, ZHANG Qi-hang 1, FU Xing-hu1, WU Guo-qing1（ 1. The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; 2. School of Physics and Electronic Information, Inner Mongolia University for Nationalities, Tongliao 028000, China）
12-1370/TN
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Ultraviolet（UV） absorption spectroscopy is used to detect the concentration of water chemical oxygen demand（COD）. The UV absorption spectra of COD solutions are analyzed qualitatively and quantitatively. The partial least square（PLS） algorithm is used to model COD solution and the modeling results are compared. The influence of environmental temperature and turbidity is analyzed. These results show that the influence of temperature on the predicted value can be ignored. However, the change of turbidity can affect the detection results of UV spectra, and the COD detection error can be effectively compensated by establishing the single-element regression model.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-016-6178-z