Detection Method of Water Quality by UV-VIS Spectrum Based on Chromatographic Similarity Analysis Model
Objective:To investigate the UV-VIS spectrum detection method for water quality based on chromatographic similarity analysis model,in order to accurately detect various substances that pollute water quality.Methods:The data analysis methods included using wavelet transform and principal component analysis to process the water quality UV-VIS spectrum collected by UV-VIS spectrom-eter,calculating the outliers of some spectral observation points according to the threshold of Q statistics,and calculating the multivariate UV-VIS chromatographic similarity according to the chromatographic similarity analysis model by improving the bipartite K-means clus-tering algorithm.Results:After processing,spectral data after denoising and dimensionality reduction could be obtained to determine ab-normal water quality,assign weight to outliers to obtain probability values,calculate abnormal probability,and detect whether relevant types of pollutants exist in water samples.Conclusions:The spectrum processed by this method is more concise,accurately detecting water quality anomalies,and detecting the presence of different types of pollutants in water samples,which has strong applicability.
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