Paper
17 August 2023 Study on nitrate detection method in water using UV full-spectrum combined with PCA-BPNN
Yibin Geng, Yingying Zhang, Da Yuan, Xiandong Feng, Bingwei Wu
Author Affiliations +
Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 1275732 (2023) https://doi.org/10.1117/12.2690289
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China
Abstract
In recent years, the increasingly serious problem of marine pollution has raised high concern about environmental issues among people, which in turn has promoted rapid development of marine pollution detection technology. UV fullspectrum analysis is a nitrate detection method based on characteristics such as no reagents required, convenient and fast, and high detection accuracy. This article takes nitrate standard solution prepared with potassium nitrate as the experimental object, collects UV full-spectrum from 0 to 7mg/L standard solutions, uses the Savitzky-Golay (SG) smoothing algorithm to remove noise from the original nitrate full-spectrum data, processes the UV full-spectrum data using principal component analysis (PCA) algorithm, extracts characteristic bands, and uses BP neural network modeling for the screened bands. The results show that within the spectral range of 201-207nm, the prediction model achieves the highest coefficient of determination, with an R2 of 0.99997, and the smallest root mean square error, with an RMSE of 0.11149, and all performance indicators are superior to those of the UV full-spectrum modeling method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yibin Geng, Yingying Zhang, Da Yuan, Xiandong Feng, and Bingwei Wu "Study on nitrate detection method in water using UV full-spectrum combined with PCA-BPNN", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 1275732 (17 August 2023); https://doi.org/10.1117/12.2690289
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KEYWORDS
Ultraviolet radiation

Oceanography

Principal component analysis

Water

Data modeling

Spectroscopy

Absorbance

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