Inexact two-stage stochastic credibility constrained programming for water quality management
► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are tackled. ► Desired strategies for achieving multiple conflicting targets are identified. In this study, an inexact two-stage stochastic credi...
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| Vydané v: | Resources, conservation and recycling Ročník 73; s. 122 - 132 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Kidlington
Elsevier B.V
01.04.2013
Elsevier |
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| ISSN: | 0921-3449, 1879-0658 |
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| Abstract | ► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are tackled. ► Desired strategies for achieving multiple conflicting targets are identified.
In this study, an inexact two-stage stochastic credibility constrained programming (ITSCCP) method is developed and applied to the water quality management system. It incorporates the credibility constrained programming, two-stage stochastic programming and interval programming within an optimization framework, so that uncertainties expressed as intervals, probabilistic and possibilistic distributions can be effectively communicated. The study area is the Xiangxi River Basin of the Three Gorges Reservoir (TGR), the largest reservoir in China. The significant advantage of the ITSCCP water quality management model is that it can reflect the tradeoffs between the predefined economic targets and the associated environmental penalties, as well as the fuzziness of the pollution load capacities. Stable interval solutions can be obtained by using the two-step interactive solution algorithm. A spectrum of potential pollution abatement options with varied levels of system-failure risk can be generated. The resulting solutions show that the proposed method can provide scientific bases for water quality management and other environmental systems problems. |
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| AbstractList | In this study, an inexact two-stage stochastic credibility constrained programming (ITSCCP) method is developed and applied to the water quality management system. It incorporates the credibility constrained programming, two-stage stochastic programming and interval programming within an optimization framework, so that uncertainties expressed as intervals, probabilistic and possibilistic distributions can be effectively communicated. The study area is the Xiangxi River Basin of the Three Gorges Reservoir (TGR), the largest reservoir in China. The significant advantage of the ITSCCP water quality management model is that it can reflect the tradeoffs between the predefined economic targets and the associated environmental penalties, as well as the fuzziness of the pollution load capacities. Stable interval solutions can be obtained by using the two-step interactive solution algorithm. A spectrum of potential pollution abatement options with varied levels of system-failure risk can be generated. The resulting solutions show that the proposed method can provide scientific bases for water quality management and other environmental systems problems. ► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are tackled. ► Desired strategies for achieving multiple conflicting targets are identified. In this study, an inexact two-stage stochastic credibility constrained programming (ITSCCP) method is developed and applied to the water quality management system. It incorporates the credibility constrained programming, two-stage stochastic programming and interval programming within an optimization framework, so that uncertainties expressed as intervals, probabilistic and possibilistic distributions can be effectively communicated. The study area is the Xiangxi River Basin of the Three Gorges Reservoir (TGR), the largest reservoir in China. The significant advantage of the ITSCCP water quality management model is that it can reflect the tradeoffs between the predefined economic targets and the associated environmental penalties, as well as the fuzziness of the pollution load capacities. Stable interval solutions can be obtained by using the two-step interactive solution algorithm. A spectrum of potential pollution abatement options with varied levels of system-failure risk can be generated. The resulting solutions show that the proposed method can provide scientific bases for water quality management and other environmental systems problems. |
| Author | Li, Yongping Huang, Gordon Li, Zhong Zhang, Yimei |
| Author_xml | – sequence: 1 givenname: Zhong surname: Li fullname: Li, Zhong email: li395@uregina.ca organization: Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 – sequence: 2 givenname: Gordon surname: Huang fullname: Huang, Gordon email: huang@iseis.org organization: Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 – sequence: 3 givenname: Yimei surname: Zhang fullname: Zhang, Yimei organization: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China – sequence: 4 givenname: Yongping surname: Li fullname: Li, Yongping organization: MOE Key Laboratory of Regional Energy and Environmental Systems Optimization, Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China |
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| Keywords | Fuzzy Water quality management Credibility Optimization modeling Three Gorges Reservoir Stochastic programming Uncertainty Pollution control Algorithm Modeling Optimization Pollution Surface water Water quality Stream Pollution abatement Mathematical programming |
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| Snippet | ► An ITSCCP model is developed for water quality management under uncertainties. ► Uncertainties in the format of random events, fuzzy sets, and intervals are... In this study, an inexact two-stage stochastic credibility constrained programming (ITSCCP) method is developed and applied to the water quality management... |
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| SubjectTerms | algorithms Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering China Continental surface waters Credibility Exact sciences and technology Fuzzy Natural water pollution Optimization modeling Pollution pollution control pollution load recycling risk solutions Stochastic programming Three Gorges Reservoir water quality Water quality management Water treatment and pollution watersheds |
| Title | Inexact two-stage stochastic credibility constrained programming for water quality management |
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