Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence
River water pollution by wastewater can cause significant negative impact on the aquatic sustainability. Hence, accurate modeling of this complicated system and its cost-effective treatment and reuse decision is very important because this optimization process is related to economic expenditure, soc...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/2480365 |
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| author | Zong Woo Geem Sung Yong Chung Jin-Hong Kim |
| author_facet | Zong Woo Geem Sung Yong Chung Jin-Hong Kim |
| author_sort | Zong Woo Geem |
| collection | DOAJ |
| description | River water pollution by wastewater can cause significant negative impact on the aquatic sustainability. Hence, accurate modeling of this complicated system and its cost-effective treatment and reuse decision is very important because this optimization process is related to economic expenditure, societal health, and environmental deterioration. In order to optimize this complex system, we may consider three treatment or reuse options such as microscreening filtration, nitrification, and fertilization-oriented irrigation on top of two existing options such as settling and biological oxidation. The objective of this environmental optimization is to minimize the economic expenditure of life cycle costs while satisfying the public health standard in terms of groundwater quality and the environmental standard in terms of river water quality. Particularly, this study improves existing optimization model by pinpointing the critical deficit location of dissolved oxygen sag curve by using analytic differentiation. Also, the proposed formulation considers more practical constraints such as maximal size of irrigation area and minimal amount of filtration treatment process. The results obtained by using an evolutionary algorithm, named a parameter-setting-free harmony search algorithm, show that the proposed model successfully finds optimal solutions while conveniently locating the critical deficit point. |
| format | Article |
| id | doaj-art-575436d1894b4fd0a61f2571d64707a9 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-575436d1894b4fd0a61f2571d64707a92025-02-03T01:27:46ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/24803652480365Improved Optimization for Wastewater Treatment and Reuse System Using Computational IntelligenceZong Woo Geem0Sung Yong Chung1Jin-Hong Kim2Department of Energy IT, Gachon University, Seongnam 13120, Republic of KoreaDepartment of Civil & Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of KoreaDepartment of Civil & Environmental Engineering, Chung-Ang University, Seoul 06974, Republic of KoreaRiver water pollution by wastewater can cause significant negative impact on the aquatic sustainability. Hence, accurate modeling of this complicated system and its cost-effective treatment and reuse decision is very important because this optimization process is related to economic expenditure, societal health, and environmental deterioration. In order to optimize this complex system, we may consider three treatment or reuse options such as microscreening filtration, nitrification, and fertilization-oriented irrigation on top of two existing options such as settling and biological oxidation. The objective of this environmental optimization is to minimize the economic expenditure of life cycle costs while satisfying the public health standard in terms of groundwater quality and the environmental standard in terms of river water quality. Particularly, this study improves existing optimization model by pinpointing the critical deficit location of dissolved oxygen sag curve by using analytic differentiation. Also, the proposed formulation considers more practical constraints such as maximal size of irrigation area and minimal amount of filtration treatment process. The results obtained by using an evolutionary algorithm, named a parameter-setting-free harmony search algorithm, show that the proposed model successfully finds optimal solutions while conveniently locating the critical deficit point.http://dx.doi.org/10.1155/2018/2480365 |
| spellingShingle | Zong Woo Geem Sung Yong Chung Jin-Hong Kim Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence Complexity |
| title | Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence |
| title_full | Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence |
| title_fullStr | Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence |
| title_full_unstemmed | Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence |
| title_short | Improved Optimization for Wastewater Treatment and Reuse System Using Computational Intelligence |
| title_sort | improved optimization for wastewater treatment and reuse system using computational intelligence |
| url | http://dx.doi.org/10.1155/2018/2480365 |
| work_keys_str_mv | AT zongwoogeem improvedoptimizationforwastewatertreatmentandreusesystemusingcomputationalintelligence AT sungyongchung improvedoptimizationforwastewatertreatmentandreusesystemusingcomputationalintelligence AT jinhongkim improvedoptimizationforwastewatertreatmentandreusesystemusingcomputationalintelligence |