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Estimate the densities of pollutions in water quality monitoring systems based on UV/vis spectrum

UV/vis spectrometric quantification is widely applied in water quality monitoring systems. The UV/vis spectrum contains a huge amount of information about the water composition so that it can be used to measure the density of substances. However, the traditional methods to estimate densities using spectrum based on Lambert-Beer's law become invalid in UV/vis spectrum because of the strong correlation among the absorption ratio of different wavelengths in the UV/vis spectrum. So we need to find a new estimating algorithm for water quality monitoring systems based on the UV/vis spectrum. In this paper, we analyze the traditional estimating algorithms. After that, we design an efficient estimating algorithms for water quality monitoring systems and evaluate it through orthogonal experiments.