Deo Randhir P, Halden Rolf U
The Biodesign Institute at Arizona State University Center for Environmental Biotechnology.
Environ Chem. 2009 Dec 18;6(6):544. doi: 10.1071/EN09063.
An empirical model is presented allowing for the prediction of concentrations of hydrophobic organic compounds (HOCs) prone to accumulate and persist in digested sludge (biosolids) generated during conventional municipal wastewater treatment. The sole input requirements of the model are the concentrations of the individual HOCs entering the wastewater treatment plant in raw sewage, the compound's respective pH-dependent octanol-water partitioning coefficient (D(OW)), and an empirically determined fitting parameter (p(fit)) that reflects persistence of compounds in biosolids after accounting for all potential removal mechanisms during wastewater treatment. The accuracy of the model was successfully confirmed at the 99% confidence level in a paired t test that compared predicted concentrations in biosolids to empirical measurements reported in the literature. After successful validation, the resultant model was applied to predict levels of various HOCs for which occurrence data in biosolids thus far are lacking.
提出了一个经验模型，用于预测在传统城市污水处理过程中产生的消化污泥（生物固体）中易于积累和持久存在的疏水性有机化合物（HOCs）的浓度。该模型唯一的输入要求是原污水中进入污水处理厂的各HOCs的浓度、化合物各自的pH依赖性正辛醇-水分配系数（D(OW)），以及一个根据经验确定的拟合参数（p(fit)），该参数反映了在考虑了污水处理过程中所有潜在去除机制后化合物在生物固体中的持久性。在一项配对t检验中，该模型的准确性在99%的置信水平上得到了成功验证，该检验将生物固体中的预测浓度与文献中报道的经验测量值进行了比较。成功验证后，所得模型被应用于预测目前生物固体中缺乏出现数据的各种HOCs的水平。
