AI SearchA chance constrained model of water quality management in a river basin
Call Number: AIT Thesis no. IE-87-14 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. IE-87-14Publication details: Bangkok : Asian Institute of Technology, 1987Description: 60 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1987 Summary: The water quality management probJem under an uncertain environment is considered in this study. A chance constrained model for multi-site river system is const ructed, where all the river flow and river parameters including river temperature are considered to be random variables. An solution method for a general C.C . P. model, which can be applied to other problems as weJJ, is proposed. A modification o f a method proposed by Ellis is also made based on the proposed method. A numerical example is provided in order to illustrate and clarify the optimization model and its solution methods, and the proposed method is found to provide a good solution.
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Asian Institute of Technology Library AIT Publications | AIT Thesis no. IE-87-14 (Browse shelf(Opens below)) | 1 | Available | 30050003072005 | |||||||||||||
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20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Thesis no. IE-87-14 (Browse shelf(Opens below)) | 2 | Available | 30050003071999 | |||||||||||||
40-Archives
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Asian Institute of Technology Library Archives | AIT Thesis no. IE-87-14 (Browse shelf(Opens below)) | 1 | Available | 30050160010418 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology
Thesis (M.Sc.) - Asian Institute of Technology, 1987
The water quality management probJem under an uncertain environment is considered in this study. A chance constrained model for multi-site river system is const ructed, where all the river flow and river parameters including river temperature are considered to be random variables. An solution method for a general C.C . P. model, which can be applied to other problems as weJJ, is proposed. A modification o f a method proposed by Ellis is also made based on the proposed method. A numerical example is provided in order to illustrate and clarify the optimization model and its solution methods, and the proposed method is found to provide a good solution.
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