Laser & Optoelectronics Progress, Volume. 60, Issue 7, 0730004(2023)

Decoupled Prediction Method for Water Pollutant Concentration Based on SPA-SVR Using Ultraviolet Spectroscopy

Jiguang Jiang1、**, Lei Shi1, Chengzhi Su2、*, Chuan Chang1, Xiaotian Li1, Xiaolong Hou1, and Aixin Tian1
Author Affiliations
  • 1College of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin, China
  • 2Artificial Intelligence Research Institute, Changchun University of Science and Technology, Changchun 130022, Jilin, China
  • show less
    References(17)

    [1] Zhou K P, Bai X F, Bi W H. The temperature, turbidity and pH impact analysis of water COD detected by fluorescence spectroscopy[J]. Spectroscopy and Spectral Analysis, 39, 1097-1102(2019).

    [2] Zhou S H, Hu X Y, Tang B et al. Application research of normalization algorithm based on EWMA-PCA in standardization of water quality spectral data[J]. Spectroscopy and Spectral Analysis, 40, 3443-3450(2020).

    [3] Li Q B, He L Q, Cui H X et al. Fundamental Study on the Detection of Nitrite Nitrogen Concentration in Surface Water by Ultraviolet Visible Spectroscopy, 40, 1127-1131(2020).

    [4] Liu E H, Wu D C, Wang J et al. Multi-scene optimization method of water COD measurement based on direct spectroscopy[J]. Acta Optica Sinica, 41, 2230001(2021).

    [5] Luo J Y, Wei B, Tang B et al. A method to calculate the turbidity of water environment based on ultraviolet-visible spectrum for the measurement of COD in water[J]. Environmental Science & Technology, 38, 246-250(2015).

    [6] Alam T, Rezania B, Bahreyni B. A portable system for estimation of chemical oxygen demand in wastewater using ultraviolet-visible spectroscopy[C](2016).

    [7] Li W, Zhang Z Y, Jin X et al. Research on turbidity intelligent detection sensor based on adjustable light intensity[J]. Instrument Technique and Sensor, 15-19(2020).

    [8] Hu Y T, Wen Y Z, Wang X P. Novel method of turbidity compensation for chemical oxygen demand measurements by using UV-vis spectrometry[J]. Sensors and Actuators B: Chemical, 227, 393-398(2016).

    [9] Wu D C, Wei B, Tang G et al. Turbidity disturbance compensation for UV-VIS spectrum of waterbody based on Mie scattering[J]. Acta Optica Sinica, 37, 0230007(2017).

    [10] Zhang H Q. The research on COD measurement technologies based on multi-parameter cross-coupled analysis[D], 20-28(2020).

    [11] Agustsson J, Akermann O, Barry D A et al. Non-contact assessment of COD and turbidity concentrations in water using diffuse reflectance UV-Vis spectroscopy[J]. Environmental Science. Processes & Impacts, 16, 1897-1902(2014).

    [12] Huang P J, Li Y H, Yu Q J et al. Classification of organic contaminants in water distribution systems developed by SPA and multi-classification SVM using UV-vis spectroscopy[J]. Spectroscopy and Spectral Analysis, 40, 2267-2272(2020).

    [13] Li W J. Application of detection and prediction model of COD in water based on ultraviolet visible spectrometry[J]. Water Resources & Hydropower of Northeast China, 36, 32-34, 44, 72(2018).

    [14] Li X, Su C Z, Yu D Y et al. Study on the influence of wavelength and low temperature on COD detection by ultraviolet spectroscopy[J]. Spectroscopy and Spectral Analysis, 40, 2403-2408(2020).

    [15] Sa J M, Jiang H, Xie K W et al. Characteristic wavelength optimization based on random frog algorithm[J]. Acta Optica Sinica, 41, 1530001(2021).

    [16] Yu Y S, Qu Y. Multi-component spectral detection based on neural network in water quality inspection[J]. Optik, 217, 164915(2020).

    [17] Cai J C, Deng X, Kan C X et al. Design of water quality COD online detection system based on ultraviolet-visible spectroscopy[J]. Laser & Optoelectronics Progress, 59, 0130001(2022).

    Tools

    Get Citation

    Copy Citation Text

    Jiguang Jiang, Lei Shi, Chengzhi Su, Chuan Chang, Xiaotian Li, Xiaolong Hou, Aixin Tian. Decoupled Prediction Method for Water Pollutant Concentration Based on SPA-SVR Using Ultraviolet Spectroscopy[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0730004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Spectroscopy

    Received: Feb. 9, 2022

    Accepted: Feb. 16, 2022

    Published Online: May. 24, 2023

    The Author Email: Jiguang Jiang (jiangjiguang1980@126.com), Chengzhi Su (Chengzhi_su@126.com)

    DOI:10.3788/LOP220700

    Topics