酚类在黄河底质中的生物降解性模型研究

Biodegradability Model of Phenols in the Yellow River Sediments

为了评估和预测酚类污染物在黄河底质中的生物降解性,以黄河底质为接种介质,以17种酚作为受试化学品,以生化需氧量作为生物降解性参数,以10种化学品的分子结构描述符和取代基团作为分子结构的定量参数,分别采用线性回归法和人工神经网络法建立了酚类化合物的分子定量结构与其生物降解性相关模型。应用所得到的模型,预测了实验组中4种酚类化合物的BOD5/ThOD值,并分析了酚类在黄河底质中降解的普遍规律和一些特殊现象。

In order to assess the risk of phenols in the Yellow River sediments, the quantitative structurebiodegradability relationship were performed with the BODs of 17 phenols by the regression analyses and artificial network approach, respectively. BOD5 was measured by making use of the inoculated sediments, and quantitative structure of phenols was calculated with special software. The equations were used to forecast the biodegradability of phenols, and hiodegradation was discussed.