Mathematical modeling and optimization of wastewater stabilization ponds using nonlinear programming

This research work proposes a mathematical optimization model for constructing two ponds (1. Facultative pond and 2. Maturation pond) provided in series. The uses concrete volume as its objective minimization function. There were decision variables; the first was detention time (DT) second list number of baffle walls (NBW) both ponds. constraint parameters include fecal coliforms biochemical oxygen demand (BOD5). applied with help an Add-Ins MS Office: Excel solver. generalized reduced gradient algorithm utilized solver (GRG). Before applying model, designed conventional method then using optimized values variables. A comparison findings reveals that 13.79 percent reduction DT, 11.55 area, 7.19 occurred. mentioned above are significant since these systems' fundamental drawback is area's requirement. In addition, sensitivity analyses function removal pollutants also provided. described sensitive to variations parameters. Both demonstrated effluent characteristics comply class-B irrigation standards Turkey. It advised do more studies WSPs other algorithms tools available literature distinct wastewater treatment plants.