Application of surrogate parameters in characteristic UV–vis absorption bands for rapid analysis of water contaminants

Hu, Yingtian; Wang, Xiaoping

doi:10.1016/j.snb.2016.08.072

Cited by 27 publications

(9 citation statements)

References 13 publications

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“…This study was only the statistical application of characteristic band screening methods to the inversion of different water quality parameters and failed to explore the spectral response mechanism of the various water quality parameters (Hu & Wang, 2017), which would lead to some limitations in the applicability of the model. Meanwhile, the optimized band screening method based on the SPA needs further study, which can focus on further:Exploring the different spectral sensitive intervals and analyzing the spectral response mechanism of each water quality parameter.Probing into the band screening mechanism and optimizing various screening methods so as to propose a band screening method suitable for various models; and applying various screening methods at the same time in the longitudinal study to achieve multiple screening.…”

Section: Discussionmentioning

confidence: 99%

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Zheng

Chen

Zhao

et al. 2019

PeerJ

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Water pollution has been hindering the world’s sustainable development. The accurate inversion of water quality parameters in sewage with visible-near infrared spectroscopy can improve the effectiveness and rational utilization and management of water resources. However, the accuracy of spectral models of water quality parameters is usually prone to noise information and high dimensionality of spectral data. This study aimed to enhance the model accuracy through optimizing the spectral models based on the sensitive spectral intervals of different water quality parameters. To this end, six kinds of sewage water taken from a biological sewage treatment plant went through laboratory physical and chemical tests. In total, 87 samples of sewage water were obtained by adding different amount of pure water to them. The raw reflectance (Rraw) of the samples were collected with analytical spectral devices. The Rraw-SNV were obtained from the Rraw processed with the standard normal variable. Then, the sensitive spectral intervals of each of the six water quality parameters, namely, chemical oxygen demand (COD), biological oxygen demand (BOD), NH3-N, the total dissolved substances (TDS), total hardness (TH) and total alkalinity (TA), were selected using three different methods: gray correlation (GC), variable importance in projection (VIP) and set pair analysis (SPA). Finally, the performance of both extreme learning machine (ELM) and partial least squares regression (PLSR) was investigated based on the sensitive spectral intervals. The results demonstrated that the model accuracy based on the sensitive spectral ranges screened through different methods appeared different. The GC method had better performance in reducing the redundancy and the VIP method was better in information preservation. The SPA method could make the optimal trade-offs between information preservation and redundancy reduction and it could retain maximal spectral band intervals with good response to the inversion parameters. The accuracy of the models based on varied sensitive spectral ranges selected by the three analysis methods was different: the GC was the highest, the SPA came next and the VIP was the lowest. On the whole, PLSR and ELM both achieved satisfying model accuracy, but the prediction accuracy of the latter was higher than the former. Great differences existed among the optimal inversion accuracy of different water quality parameters: COD, BOD and TN were very high; TA relatively high; and TDS and TH relatively low. These findings can provide a new way to optimize the spectral model of wastewater biochemical parameters and thus improve its prediction precision.

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Section: Discussionmentioning

confidence: 99%

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Zheng

Chen

Zhao

et al. 2019

PeerJ

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Section: Research Limitations and Future Researchmentioning

confidence: 99%

Peer Review #1 of "Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA (v0.1)"

2019

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Water pollution has been hindering the world's sustainable development. The accurate inversion of water quality parameters in sewage with visible-near infrared (VIS-NIR) spectroscopy can improve the effectiveness and rational utilization and management of water resources. However, the accuracy of spectral models of water quality parameters is usually prone to noise information and high dimensionality of spectral data. This study aimed to enhance the model accuracy through optimizing the spectral models based on the sensitive spectral intervals of different water quality parameters. To this end, six kinds of sewage water taken from a biological sewage treatment plant went through laboratory physical and chemical tests. Eight-seven samples of sewage water were obtained by adding different amount of pure water to them. The raw reflectance (R raw) of the samples were collected with Analytical Spectral Devices (ASD). The R raw-SNV were obtained from the R raw processed with the standard normal variable (SNV). Then, the sensitive spectral intervals of each of the six water quality parameters, namely, COD, BOD, NH 3-N, the total dissolved substances (TDS), total hardness (TD) and total alkalinity (TA), were selected using three different methods: gray correlation (GC), variable importance in projection (VIP) and set pair analysis (SPA). Finally, the performance of both extreme learning machine (ELM) and partial least squares regression (PLSR) was investigated based on the sensitive spectral intervals. The results demonstrated that the model accuracy based on the sensitive spectral ranges screened through different methods appeared different. The GC method had better performance in reducing the redundancy and the VIP method was better in information preservation. The SPA method could make the optimal trade-offs between information preservation and redundancy reduction and it could retain maximal spectral band intervals with good response to the inversion parameters. The accuracy of the models based on varied sensitive spectral ranges selected by the three analysis

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“…In addition, it is reported that at wavelengths of 200 to 300 nm, the main structures are carbonyl, carboxyl, nitroso and nitrite. At 292 nm, the most likely compounds are: aromatic amino acids and highly conjugated aliphatic chain volatile compounds, at 328 nm naphthalene and its derivatives (Hu and Wang, 2017).…”

Section: • +mentioning

confidence: 99%

“…Within this scenario for absorbance analysis, it was noted that during the post-reaction Fenton treatment, there was an increase of 65.71% of absorbance at 200 nm, possibly owing to the generation of intermediates that are strongly absorbent at this wavelength. According to Hu and Wang (2017), at 200-250 nm absorbance, the values may represent carboxyl functional groups that are strongly absorbent in this range.…”

Section: • +mentioning

confidence: 99%

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2018

Rev. ambiente água

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Cowpea is a crop with great economic, social and food importance in semi-arid regions, but its production is drastically reduced by the water deficit in these regions, requiring better management strategies that allow the crop's production. This study therefore aimed to evaluate the photosynthetic efficiency and production of cowpea cultivars under deficit irrigation replacement levels. The experiment tested three cowpea genotypes (G1 = 'BRS Aracé', G2 = 'BR 17 Gurguéia' and G3 = 'BRS Marataoã') and four irrigation depths (40, 60, 80 and 100% of ETc), resulting in a 3 x 4 factorial scheme, arranged in randomized complete blocks design with four replicates. During the experiment, the gas exchanges, chlorophyll a fluorescence and production of the cowpea genotypes under deficit irrigation were evaluated. Carbon fixation in the photosynthetic metabolism of cowpea plants was reduced by accentuated water deficit, regardless of the genotype. The low stress severity was indicated by the lack of effects on chlorophyll fluorescence, indicating that the reduction in the rate of carbon assimilation was due to the stomatal effects. The irrigation with 80% of ETc can be used in the cultivation of the respective cultivars, but with small losses in the production. Among the genotypes, 'BRS Marataoã' stands out with respect to yield, with higher values for weight of pods and green beans.

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Application of surrogate parameters in characteristic UV–vis absorption bands for rapid analysis of water contaminants

Cited by 27 publications

References 13 publications

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA

Peer Review #1 of "Quantitative estimation of wastewater quality parameters by hyperspectral band screening using GC, VIP and SPA (v0.1)"

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