Abstract

Stabilization ponds are easy to operate and their maintenance is simple. Treatment is carried out naturally and they are recommended in developing countries. The main disadvantage of these systems is large land area they occupy. The aim of this study was to perform an optimization of the wastewater treatment systems in a facultative pond, considering a mathematical analysis of the methodology to determine the model constrains organic matter. Matlab optimization toolbox was used for non linear programming. A facultative pond with the method was designed and then the optimization system was applied. The analyse meet the treated water quality requirements for the discharge to the water bodies. The results show a reduction of hydraulic retention time by 4.83 days, and the efficiency of of wastewater treatment of 84.16 percent.

Highlights

  • In today's life, settlements are more centered on a residential area

  • Mathematical analysis is used by applying linear program, so the results of wastewater treatment fulfill the quality standard

  • Linear program is applied to wastewater treatment system at Wastewater Treatment Plant (WWTP), Sewon, Bantul, Yogyakarta

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Summary

Introduction

In today's life, settlements are more centered on a residential area This poses a new problem especially in sewerage systems. The precise way of disposing of wastewater that is flowing into the river was considered successful. At first, it was not cause problems because the amount of liquid waste is small compared to the river flow. If the waste is throw without first processing, it can reduce the quality of river water. Waste Stabilization Ponds are used to improve the quality of waste water by relying on natural processes that treat wastewater by utilizing the presence of bacteria, algae and zooplankton to reduce the organic pollutants contained in wastewater [1,2,3,4]. Mathematical analysis is used by applying linear program, so the results of wastewater treatment fulfill the quality standard

Materials and Methods
Objective
12 December
Results and Discussions
Conclusions
Full Text
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