The use of modeling and simulation has developed into a critical tool for
the sustainable management of wastewater, especially when it comes to
replicating the complex biochemical procedures required for fertilizer effluent
treatment, which calls for a significant amount of wastewater-related data. The
biological improvement of a urea fertilizer
effluent via GPS* simulation was carried out in this work using a methodical
process. Using established analytical techniques, temperature, total
suspended solids (TSS), biochemical oxygen demand
(BOD), total phosphorus (T/), chemical oxygen demand
(COD), total nitrogen (TN), total nitrate (NO3), electric
conductivity (EC), turbidity, residual
chlorine, urea, NH3, and heavy metals (Cu, Cd, Cr, Pb, Ni, and Fe)
were assessed. The research revealed that the measured values from the
fertilizer factory outfall effluent had high concentrations of all the
physicochemical water quality indicators,
with the exception of TSS, PO4-, SO4-, and NO3-. These concentrations are
higher compared
to the authorized limits or
suggested values by the Federal Environmental Protection Agency (FEPA).
To improve the therapy
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