Study on a fast non-contact detection method for key parameters of refractory organic wastewater treatment

Danping, Huang; Ye, Jianqiu; Yu, Shaodong; Tian, Yingli; Wen, Xiaomei; Wang, Yiqi; Ren, Luotong; Chen, Xiaoguang

doi:10.1016/j.bej.2021.108269

Cited by 3 publications

(10 citation statements)

References 16 publications

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“…Organic compounds are known to absorb primarily UV light, but not VNIR light (Guo et al, 2020). However, similar to other studies using VNIR reflectance spectra (Xing et al, 2019;Huang et al, 2022), we could still estimate COD and DOC with satisfactory precision, likely resulting from their strong correlation with suspended solids (ρ=0.58 and 0.7).…”

Section: Organic Pollution Phosphate and Sulphatesupporting

confidence: 82%

“…Image acquisition setup: The laboratory setup for the hyperspectral acquisitions was inspired from previous work (Agustsson et al, 2014;Munir et al, 2018;Huang et al, 2022). A volume of 200mL of each sample was placed in a 7.8cm diameter high-density polyethylene cup.…”

Section: Experimental Setup For Hyperspectral Data Acquisitionmentioning

confidence: 99%

“…(Gruber et al, 2006). Non-contact water quality monitoring techniques have the potential to address these challenges, but have mostly been studied in laboratory settings (Gitelson, Stark and Dor, 1997;Russell et al, 2003;Natesan, 2013;Agustsson et al, 2014;Xie et al, 2019;Xing et al, 2019;Huang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…This enables the use of advanced object classification, machine learning, and image analysis techniques on the resulting 3D "data-cube" structure (Audebert, Le Saux and Lefevre, 2019). Recently, HSI has been used to monitor highly polluted industrial wastewater, with promising results (Huang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Towards non-contact pollution monitoring in sewers with hyperspectral imaging

Lechevallier¹,

Villez²,

Felsheim³

et al. 2023

Preprint

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Monitoring water quality in sewers is challenging, particularly because state-of-the-art technologies require contact with the raw wastewater. The presence of fat, oil, grease and solids makes automated grab sampling difficult and causes sensor fouling. To overcome these limitations, non-contact methods based on light reflectance, such as hyperspectral imaging (HSI), are gaining attention. However, HSI has never been tested for raw wastewater. To assess its accuracy for measuring pollution, we developed a laboratory setup and performed targeted experiments with a combination of raw and diluted wastewater, as well as synthetic turbidity stock solutions. We measured seven pollution variables: chemical oxygen demand, turbidity, dissolved organic compounds, ammonium, total nitrogen, phosphate, and sulphates. We used automated pixel selection and partial least squares regression to retrieve pollution information from the hyperspectral images. Our results, based on 144 samples, suggest that HSI can estimate pollution levels with a precision in the range of state-of-the-art absorbance spectroscopy methods. Additionally, we found that the combination of pixel and wavelength selection, enabled by the hyperspectral data structure, significantly influences the performance of partial least square modelling. Overall, our findings indicate that HSI is a promising technology for non-contact monitoring of water quality in raw wastewater.

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Section: Organic Pollution Phosphate and Sulphatesupporting

confidence: 82%

Section: Experimental Setup For Hyperspectral Data Acquisitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards non-contact pollution monitoring in sewers with hyperspectral imaging

Lechevallier¹,

Villez²,

Felsheim³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…3 Non-contact water quality monitoring techniques have the potential to address these challenges, but research on this topic is still limited to seven peerreviewed publications. [4][5][6][7][8][9][10] In a pioneering study, Russell et al, 2003 measured the light reflection intensity of an 880 nm laser on 200 wastewater samples in the laboratory. 5 They obtained promising results for the estimation of oxygen demand (COD) (R 2 = 0.79) and suspended solids (R 2 = 0.83), but the subsequent field trials were unsatisfactory.…”

Section: Introductionmentioning

confidence: 99%