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2018
DOI: 10.1051/e3sconf/20183105008
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Mathematical Analysis for the Optimization of Wastewater Treatment Systems in Facultative Pond Indicator Organic Matter

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 fa… Show more

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Cited by 8 publications
(19 citation statements)
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“…The optimal decision is calculated using the following scenario with some parameter values collected in Sewon, Bantul WWTP as reported by previous published articles. The domestic wastewater load in ponds P1 and P2 is half of the inflow rate in the value of L0 = 4.799,6 kg/day, with a BOD degradation coefficient of 1.1% [3], a quality standard of 50 mg/L, and a wastewater inflow rate of 11238 m 3 /day in each facultative pond for one year [3]. The reference value for the efficiency of the treatment at the pond is decided to be 0.25 for ponds P1 & P2, and 0.5 for ponds P3 & P4 at any review time period t. To solve the optimization problem(5), the LINGO programming tool was run in a daily used personal computer.…”
Section: Resultsmentioning
confidence: 99%
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“…The optimal decision is calculated using the following scenario with some parameter values collected in Sewon, Bantul WWTP as reported by previous published articles. The domestic wastewater load in ponds P1 and P2 is half of the inflow rate in the value of L0 = 4.799,6 kg/day, with a BOD degradation coefficient of 1.1% [3], a quality standard of 50 mg/L, and a wastewater inflow rate of 11238 m 3 /day in each facultative pond for one year [3]. The reference value for the efficiency of the treatment at the pond is decided to be 0.25 for ponds P1 & P2, and 0.5 for ponds P3 & P4 at any review time period t. To solve the optimization problem(5), the LINGO programming tool was run in a daily used personal computer.…”
Section: Resultsmentioning
confidence: 99%
“…(1) Optimizing wastewater processing only on four facultative ponds, we do not including the processing in the maturation pond; (2) The decision variable to be optimized is the BOD concentration parameter; (3) The data used in the model and the calculation were observed in Sewon, Bantul facultative ponds; (4) The data were taken from ponds I and II (5) The pollutant degradation process was assumed to be uniform in all ponds; (6) The quality standard value of the wastewater is taken from the government's policy, Yogyakarta Province [34]; (7) The formula to calculate the efficiency index value used in the model is based on our previous researches (see [3]); (8) The review period of time is assumed to be a day. Sewon, Bantul WWTP facility contains inlet and outlet valve, as well as four facultative and two maturation ponds (see Figure 1).…”
Section: Assumptions and Notationsmentioning
confidence: 99%
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“…Some mathematical models have been developed as an approach to analyze, observe and optimize the performance of the wastewater stabilization pond. For example, a linear optimization mathematical model was developed to optimize the performance of facultative pond [3]. Other approaches were performed, for example by simulating the effectiveness and purification efficiencies of the BOD [4], optimization model by minimizing the cost construction [5] by using natural adsorbent [6] and their extensions like sewage treatment in extreme area [7], analysis of nitrogen in waste stabilization ponds in the removal mechanism point of view [8] and maturation pond optimization [9].…”
Section: Introductionmentioning
confidence: 99%
“…Many of them are using mathematical model to observe how the pollutant degradation process looks like in the view of chemical, biological and physical process aspects like a model of osmosis-nanofiltration on wastewater treatment plant [2], a model of carbonnitrogen-sulfur removal process [3], a model of nitrogen removal process [4], a model of Cyhalofop-butyl removal process [5], and mathematical models observing some factors influenced the ponds like solar irradiance levels [6], aging factor [7], decay rates of some bacterias on sludge [8], dry weather [9], energy consumption effects [7,10], and many more. Furthermore, some model application researches were also conducted to observe the performance of the wastewater treatment in some fields like domestic wastewater [11,12] and the petrochemical industry [13].…”
Section: Introductionmentioning
confidence: 99%