Study on Water Quality Parameter Prediction Models using Ultraviolet Absorption Spectroscopy
Ultraviolet absorption spectroscopy is a rapid,straightforward,and environmentally friendly tech-nology for detecting water quality without causing secondary pollution.The prediction model for water chemical oxygen demand and turbidity,developed using twin convolutional neural networks,demonstrates exceptional ac-curacy even with limited sample sizes.When applied to real water samples,the R2 value can reach as high as 0.97.This level of precision surpasses that of other models,making it a valuable tool for online monitoring of chemical oxygen demand and turbidity pollution levels in water bodies.
万方数据
维普
