基于BP神经网络的复合污染体系中沉积物吸附阿特拉津的规律

The Atrazine Adsorption Characteristics of Surficial Sediments Under Composite Contamination System Based on the BP Artificial Neural Network Model

建立了Cu2+和阿特拉津(AT)复合污染体系中沉积物各活性组分及其交互作用对AT吸附量影响的BP神经网络模型,模型预测值和实验值的相关系数达到0.97,各集合的平均偏差均小于10%。模型显示,AT在沉积物上的主要吸附位是铁氧化物。沉积物吸附AT时铁氧化物、锰氧化物、有机质之间存在显著的交互作用,铁氧化物、锰氧化物交互作用贡献率为-130%～80%,铁氧化物、有机质交互作用贡献率为5%～28%,锰氧化物、有机质交互作用贡献率为-200%～-70%。各活性组分吸附AT的能力及其交互作用受Cu2+的影响较大,其中:Cu2+对AT在铁氧化物上的吸附表现为拮抗作用,对AT在锰氧化物上的吸附表现为协同作用,而对AT在有机质上的吸附影响不显著,同时Cu2+减弱了铁氧化物-锰氧化物和锰氧化物-有机质的交互作用影响,增强了铁氧化物-有机质的交互作用影响。

A BP artificial neural network model(ANN) was established to predict the influence of the active components of sediment and their interactions on the adsorption of atrazine(AT) under atrazine-copper co-contamination system.The results showed that the correlation coefficient between model predictions and experimental values reached 0.97 and the average deviations of all sets were less than 10%.The model calculation showed that Fe oxides are the main adsorption sites for AT sorption on sediment.The effects of Fe oxides,Mn oxides and organic materials(OMs) on the adsorption of AT were inter-related.The contribution ratio of the effect of Fe oxides-Mn oxides interaction on adsorption varied from-130% to 80%,and 5% to 28% for the effect of Fe oxides-OMs interaction,and-200% to-70% for the effect of Mn oxides-OMs interaction.In addition,copper showed significant effect on the adsorption capability of each component toward AT as well as their interactions on the adsorption.It was also found that copper has a synergetic effect on the adsorption of atrazine on Fe oxides and antagonistic effect on Mn oxides,while it showed an insignificant effect on the adsorption of AT on OMs.Meanwhile,the effects on AT adsorption by the interactions of Fe oxides-Mn oxides as well as Mn oxides-OMs were decreased in the presence of copper.However,the adsorption was enhanced by the interaction between Fe oxides and OMs with the addition of copper.