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

Jiguang Jiang; Lei Shi; Chengzhi Su; Chuan Chang; Xiaotian Li; Xiaolong Hou; Aixin Tian

doi:10.3788/LOP220700

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

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

Jiguang Jiang^1、**, Lei Shi¹, Chengzhi Su^2、*, Chuan Chang¹, Xiaotian Li¹, Xiaolong Hou¹, and Aixin Tian¹

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

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Figures & Tables(12)

Fig. 1. Flow chart of coupling parameters detection model

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Fig. 2. Ultraviolet spectrum detection system

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Fig. 3. UV absorption spectra of standard solution. (a) COD; (b) turbidity

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Fig. 4. UV absorption spectra of mixed solution. (a) COD+turbidity interference; (b) turbidity+COD interference

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Fig. 5. Selection of characteristic wavelength. (a) COD; (b) turbidity

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Fig. 6. Selection of characteristic wavelength of COD and turbidity. (a) 230.4 nm; (b) 249.2 nm; (c) 272.8 nm; (d) 295.3 nm; (e) 347 nm; (f) 374.6 nm

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Fig. 7. Three dimensional characteristic point diagram of ultraviolet spectrum

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Fig. 8. Comparison of coupling interference results. (a) COD+turbidity interference; (b) turbidity+COD interference

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Fig. 9. Comparison of coupling analytical prediction results. (a) COD; (b) turbidity

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Table 1. UV spectral characteristic dataset

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Table 1. UV spectral characteristic dataset

Sample	COD /mg·L^-1	Turbidity /NTU	Absorbance
Sample	COD /mg·L^-1	Turbidity /NTU	$λ$ _230.4	$λ$ _249.2	$λ$ _272.8	$λ$ _295.3	…	$λ$ _374.6
1	5	0	0.415	0.147	0.069	0.020	…	0.001
2	0	5	0.120	0.092	0.089	0.076	…	0.003
3	5	5	0.400	0.211	0.139	0.090	…	0.004
$⋮$	$⋮$	$⋮$	$⋮$	$⋮$	$⋮$	$⋮$	$⋮$	$⋮$
108	125	50	2.108	2.047	1.384	0.710		0.252
109	150	50	2.122	2.159	1.503	0.748	…	0.265
110	150	60	2.157	2.394	1.712	0.763	…	0.384

Table 2. Verification results of actual water sample model

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Table 2. Verification results of actual water sample model

Sample	COD /（mg·L^-1）		Prediction error COD /%	Turbidity /NTU		Prediction error Turbidity /%
Sample	True value	Predicted value	Prediction error COD /%	True value	Predicted value	Prediction error Turbidity /%
1	9.60	9.46	1.46	0.40	0.39	2.50
2	17.50	17.72	1.26	3.00	3.05	1.60
3	10.60	10.24	3.40	0.40	0.41	2.50
4	16.40	16.42	0.12	0.50	0.51	4.00
5	25.30	24.84	1.82	12.00	11.79	1.75
6	8.50	8.62	1.41	6.30	6.42	1.90
7	21.30	21.33	0.14	21.20	20.87	1.56
8	72.80	71.97	1.14	34.80	35.20	1.15
9	43.70	44.60	2.02	19.60	19.57	0.15

Table 3. SVR model prediction performance index
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Table 3. SVR model prediction performance index
Prediction index R² RMSE /（mg·L^-1） RSD /%
COD 0.998 0.343 1.50
Turbidity 0.125 2.43

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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

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