Predicting photolytic removal of CECs in wastewater and stormwater treatment assets using a chemoinformatic tool

To address compliance with new demanding regulations for varying sources coupled with budget restrictions, utilities need a cost-effective tool to identify the most problematic chemicals of emerging concern (CECs) and their removal in natural treatment processes such as lagoons.

Photolysis is an important removal mechanism, its extent varies with CEC and is correlated to wastewater characteristics.

A software model for prediction of the photolytic removal of CECs during lagoon treatment will be developed. It will incorporate the impact of wastewater characteristics, temperature and irradiance using a big data approach involving machine learning, and be applicable to all lagoons and stormwater detention ponds.

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