Optical detection of contamination event in water distribution system using online Bayesian method with UV–Vis spectrometry

Wang, Ke; Yu, Jie; Hou, Dibo; Yin, Hang; Yu, Qiaojun; Huang, Pingjie; Zhang, Guangxin

doi:10.1016/j.chemolab.2019.07.006

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…This method was able to detect 95% of contamination events correctly, with a 2% false alarm rate from a contaminant injection experiment [77]. The Pearson correlation Euclidean distance method was applied to a real contamination accident study; the results showed that this method has better potential to be used in the field [76].…”

Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

“…The Bayesian algorithm combined with a UV-Vis spectrometry probe, along with a message-passing schedule, was used to analyse patterns for event classification. It was conducted for long-term online monitoring of the water distribution system in a pilot-scale [76]. Water quality anomalies were detected using the integration of the principal component analysis and chi-square distribution combined with UV-Vis sensors for a distribution system.…”

Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

“…The reported evaluation of detection performance was rarely based on real contamination events. There are arguments that lab-and pilot-scaled studies may not cover the variation of water quality that occurs in the actual water systems, as real water quality data may contain more background noise and fluctuations [76]. Therefore, it is important to test the detection method in a real water event situation.…”

Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

See 2 more Smart Citations

Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review

Shi

Chow

Fabris

et al. 2022

Sensors

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Water quality monitoring is an essential component of water quality management for water utilities for managing the drinking water supply. Online UV-Vis spectrophotometers are becoming popular choices for online water quality monitoring and process control, as they are reagent free, do not require sample pre-treatments and can provide continuous measurements. The advantages of the online UV-Vis sensors are that they can capture events and allow quicker responses to water quality changes compared to conventional water quality monitoring. This review summarizes the applications of online UV-Vis spectrophotometers for drinking water quality management in the last two decades. Water quality measurements can be performed directly using the built-in generic algorithms of the online UV-Vis instruments, including absorbance at 254 nm (UV254), colour, dissolved organic carbon (DOC), total organic carbon (TOC), turbidity and nitrate. To enhance the usability of this technique by providing a higher level of operations intelligence, the UV-Vis spectra combined with chemometrics approach offers simplicity, flexibility and applicability. The use of anomaly detection and an early warning was also discussed for drinking water quality monitoring at the source or in the distribution system. As most of the online UV-Vis instruments studies in the drinking water field were conducted at the laboratory- and pilot-scale, future work is needed for industrial-scale evaluation with ab appropriate validation methodology. Issues and potential solutions associated with online instruments for water quality monitoring have been provided. Current technique development outcomes indicate that future research and development work is needed for the integration of early warnings and real-time water treatment process control systems using the online UV-Vis spectrophotometers as part of the water quality management system.

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Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

Section: Early Warning Systems For Water Supplymentioning

confidence: 99%

See 1 more Smart Citation

Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review

Shi

Chow

Fabris

et al. 2022

Sensors

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“…As for better online monitoring methods, optical detection methods are widely used because of its high efficiency and low laboriousness, such as ultraviolet-visible (UV–vis) spectroscopy [ 4 , 5 ], atomic absorption spectroscopy (AAS) [ 6 ], near-infrared spectroscopy (NIRS) [ 7 ], surface-enhanced raman spectroscopy (SERS) [ 8 ], laser-induced breakdown spectroscopy (LIBS) [ 9 ], and so on. Among these, the UV-vis spectrophotometry can achieve online analysis on multi-ions without expensive sample pretreatment and is easily operated, making it cheaper and faster in the applications [ 10 , 11 , 12 ]. Our previous work focused on detecting copper and cobalt concentrations using UV–vis spectroscopy and multivariate regression model based on the wavelet denoising and locally weighted partial least squares methods [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV–Vis Spectrometry and SPSE-XGBoost Method

Cheng

Yang

Zhou

et al. 2020

Sensors

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Excessive discharge of heavy metal ions will aggravate environment pollution and threaten human health. Thus, it is of significance to real-time detect metal ions and control discharge in the metallurgical wastewater. We developed an accurate and rapid approach based on the singular perturbation spectrum estimator and extreme gradient boosting (SPSE-XGBoost) algorithms to simultaneously determine multi-metal ion concentrations by UV–vis spectrometry. In the approach, the spectral data is expanded by multi-order derivative preprocessing, and then, the sensitive feature bands in each spectrum are extracted by feature importance (VI score) ranking. Subsequently, the SPSE-XGBoost model are trained to combine multi-derivative features and to predict ion concentrations. The experimental results indicate that the developed “Expand-Extract-Combine” strategy can not only overcome problems of background noise and spectral overlapping but also mine the deeper spectrum information by integrating important features. Moreover, the SPSE-XGBoost strategy utilizes the selected feature subset instead of the full-spectrum for calculation, which effectively improves the computing speed. The comparisons of different data processing methods are conducted. It outcomes that the proposed strategy outperforms other routine methods and can profoundly determine the concentrations of zinc, copper, cobalt, and nickel with the lowest RMSEP. Therefore, our developed approach can be implemented as a promising mean for real-time and on-line determination of multi-metal ion concentrations in zinc hydrometallurgy.

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A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants

Geng

Yang

et al. 2023

Chemometrics and Intelligent Laboratory Systems

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Optical detection of contamination event in water distribution system using online Bayesian method with UV–Vis spectrometry

Cited by 7 publications

References 24 publications

Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review

Applications of Online UV-Vis Spectrophotometer for Drinking Water Quality Monitoring and Process Control: A Review

Simultaneous Determination of Metal Ions in Zinc Sulfate Solution Using UV–Vis Spectrometry and SPSE-XGBoost Method

A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants

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