Abstract
Mathematical models that predict the fate of chemicals in Wastewater Treatment Plants (WWfPs) are used as an integral part of risk assessment process in many countries. In this paper, the predictive power of two mathematical models, SIMPLETREAT and UWWREAT, is checked against linear alkylbenzene sulfonate (LAS) fate data collected at five WWTPs located across Europe. The temporal variability in WWTP streams was identified using statistical methods.
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