• Optoelectronics Letters
  • Vol. 18, Issue 12, 749 (2022)
Kunpeng ZHOU1, Zhiyang LIU2、*, Menglong CONG1, and Shanxin MAN3
Author Affiliations
  • 1Intelligent Manufacturing Technology Key Laboratory, Intelligent Agricultural Machinery Equipment & Technology Team, College of Engineering, Inner Mongolia Minzu University, Tongliao 028000, China
  • 2College of Information Engineering, Jingzhou University (College of Engineering and Technology Yangtze University), Jingzhou 434000, China
  • 3Alxa League Meteorological Bureau, Alxa 750300, China
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    DOI: 10.1007/s11801-022-2093-7 Cite this Article
    ZHOU Kunpeng, LIU Zhiyang, CONG Menglong, MAN Shanxin. Analysis on influencing factors of detecting chemical oxygen demand in water by ultraviolet absorption spectroscopy[J]. Optoelectronics Letters, 2022, 18(12): 749 Copy Citation Text show less

    Abstract

    Taking the standard solution and actual water samples as the research object, this paper studies the influence of various environmental factors (temperature, alkalinity (pH), inorganic salt ions and salinity) on the detection of chemical oxygen demand (COD) in water by ultra-violet (UV) spectrometry, analyzes the influence mechanism, and draws relevant conclusions. The results show that the UV absorbance of the COD standard solution and the actual river water samples varies very little with temperature. The value of pH has certain impact on both the standard solution and the actual water samples, but the pH values of the affected experimental samples are in different ranges. The effects of nitrogen salt ions (NO2 - and NO3 -) on the UV absorption spectra can be eliminated by intercepting the UV spectrum interval less affected for modeling. The influence of salinity values below 35‰ on the UV absorption spectrum of water is mainly concentrated in the spectral band of 200—250 nm, and the influence above 250 nm is very little. This paper provides a preliminary analysis and discussion on the influence mechanism and laws of various environmental factors in the detection of water quality parameters by UV spectrometry, which provides an experimental basis for selecting the optimal test conditions when establishing the COD prediction model.
    ZHOU Kunpeng, LIU Zhiyang, CONG Menglong, MAN Shanxin. Analysis on influencing factors of detecting chemical oxygen demand in water by ultraviolet absorption spectroscopy[J]. Optoelectronics Letters, 2022, 18(12): 749
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