1. Chance-constrained programming approach for optimizing the performance of domestic wastewater stabilization ponds under uncertainty and chance-based policy: The static case.
- Author
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Sunarsih, Sunarsih, Sutrisno, Sutrisno, Khabibah, Siti, and Sasongko, Dwi Purwantoro
- Subjects
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SEWAGE lagoons , *SEWAGE , *BIOCHEMICAL oxygen demand , *PONDS , *PROBABILITY theory , *MEMBERSHIP functions (Fuzzy logic) - Abstract
In this paper, we propose a new approach in a chance-constrained programming form that can be used as decision-making support in managing domestic wastewater stabilization ponds under uncertainty and chance-based policy. The objective is maximizing the performance of the facultative ponds in processing wastewater in order to degrade the pollutant concentration of the wastewater based on the biological oxygen demand parameter, which was measured as the total volume of the wastewater processed in the ponds in which the biological oxygen demand level is below the required level and the constraint violation probability is under a value set by the policy maker. The uncertainty considered in this study was based on the probability and credibility theory where the parameters were treated as probabilistic with some probability distributions or as fuzzy variables with some membership functions or a mixture of them. Experiments were carried out with data collected from the Sewon domestic wastewater facultative ponds, located in Yogyakarta, Indonesia. Results showed that the proposed model provided the optimal decision regarding the amount of the wastewater to be processed and the duration of the processing time in the ponds. This concludes that the model is implementable and can be adopted by the decision-maker. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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