In this paper, the effect of turbidity in BOD standard solutions was investigated by using three-dimensional fluorescence spectroscopy. The three-dimensional fluorescence spectral data of ten BOD standard solutions with different concentrations and six BOD standard solutions with the same concentration but different turbidities were collected, and the Monte-Carlo algorithm was used for feature extraction after pre-processing the spectral data, and based on this, a regression model for BOD concentration and a regression model for turbidity were established by using the least squares method. Based on the analysis and research of the models, the reasons for the positive relationship between turbidity and fluorescence intensity were discussed in the article, and the compensation formula for the influence of turbidity on BOD concentration was calculated, which laid the foundation for the further establishment of a more reliable BOD concentration regression model.
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xie et al. (2024) studied this question.
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