Modeling nitrogen removal in water hyacinth ponds receiving effluent from waste stabilization ponds

Abstract

We developed a dynamic model to predict nitrogen removal in water hyacinth ponds (WHPs) receiving effluent from waste stabilization ponds (WSPs). The model is based on the biofilm reaction on the root surface of plant and pond walls. The model consists of mass balances of six main substrates including: particulate organic nitrogen (PON), dissolved organic nitrogen (DON), ammonium (NH 4 +), nitrite and nitrate (NOx), soluble chemical oxygen demand (SCOD), and particulate chemical oxygen demand (PCOD). The model, incorporating major nitrogen transformation mechanisms such as hydrolysis, mineralization, and nitrification–denitrification, accounts also for carbon consumption and plant uptake. The model's application to a pilot plant showed good agreement between measured and predicted values. According to the modeling results, in the WHPs, nitrification and denitrification were the predominant nitrogen removal processes occurring simultaneously. Temperature and hydraulic retention time (HRT) had a profound effect on the performance of nitrogen removal while an algae biomass (PCOD) accumulated in the WHPs, was a useful carbon source for denitrification.