Investigation of an onsite wastewater treatment system in sandy soil: modeling the fate of surfactants.
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.
McAvoy
Drew C
DC
The Procter & Gamble Company, 6110 Center Hill Avenue, Cincinnati, Ohio 45224, USA.
DeCarvalho
Alvaro J
AJ
Nielsen
Allen M
AM
Cano
Manuel L
ML
D001673:Biodegradation, Environmental; D005544:Forecasting; D008962:Models, Theoretical; D012822:Silicon Dioxide; D012989:Soil Pollutants / Q000378:metabolism*; D013501:Surface-Active Agents / Q000737:chemistry / Q000378:metabolism*; D014865:Waste Disposal, Fluid / Q000379:methods*; D014873:Water Pollutants / Q000378:metabolism*
D012989:Soil Pollutants; D013501:Surface-Active Agents; D014873:Water Pollutants; D012822:Silicon Dioxide