McAvoy Drew C, DeCarvalho Alvaro J, Nielsen Allen M, Cano Manuel L
The Procter & Gamble Company, 6110 Center Hill Avenue, Cincinnati, Ohio 45224, USA.
Environ Toxicol Chem. 2002 Dec;21(12):2623-30.
Field monitoring data for three common laundry detergent surfactants were used to test the applicability of a mathematical model that was developed as a screening-level tool for predicting the fate and transport of consumer product ingredients in septic systems. This model takes into account the simultaneous effects of sorption and biodegradation on the transport of chemicals through a septic system. Predicted groundwater concentrations of alcohol ethoxylate (AE) and alcohol ethoxy sulfate (AES) surfactants were in excellent agreement with measured values. This good agreement was to some extent due to the fact that the biodegradation rates of AE and AES do not vary significantly as a function of the degree of oxygenation of the soil. However, using laboratory-measured soil biodegradation rates for linear alkylbenzene sulfonate (LAS), the model underpredicted measured LAS concentrations in groundwater downgradient from the drainage field. This underprediction was due to the fact that the groundwater beneath the drainage field was anoxic during certain parts of the year and LAS is not degradable under this condition. Measured LAS concentrations were consistent with an assumed in situ soil biodegradation rate that was lower than the rate measured under fully oxygenated laboratory conditions. A limitation of the model is that only one soil biodegradation rate can be input for the saturated zone, even though biodegradation rates may vary seasonally or with distance from the drainage field. However, the model was appropriate and useful as a screening tool for the sorbable organic compounds studied. The applicability of the model to other classes of compounds should be assessed before broader application.
利用三种常见洗衣洗涤剂表面活性剂的现场监测数据,对一个数学模型的适用性进行了测试。该模型是作为一种筛选级工具开发的,用于预测消费品成分在化粪池系统中的归宿和迁移。该模型考虑了吸附和生物降解对化学物质通过化粪池系统迁移的同时影响。预测的醇乙氧基化物(AE)和醇乙氧基硫酸盐(AES)表面活性剂的地下水浓度与测量值高度吻合。这种良好的吻合在一定程度上是由于AE和AES的生物降解速率不会随着土壤氧化程度的变化而显著变化。然而,使用实验室测量的直链烷基苯磺酸盐(LAS)的土壤生物降解速率,该模型低估了排水场下游地下水中LAS的测量浓度。这种低估是由于在一年中的某些时候,排水场下方的地下水处于缺氧状态,而LAS在这种条件下不可降解。测量的LAS浓度与假设的原位土壤生物降解速率一致,该速率低于在完全氧化的实验室条件下测量的速率。该模型的一个局限性是,即使生物降解速率可能随季节变化或随与排水场的距离而变化,饱和带也只能输入一个土壤生物降解速率。然而,作为所研究的可吸附有机化合物的筛选工具,该模型是合适且有用的。在更广泛应用之前,应评估该模型对其他化合物类别的适用性。