02530nam a2200253   450000500170000000800410001703500150005810000250007324500760009826000520017430000100022649000270023650001450026350200580040852014540046665000220192065000240194270000360196670000380200270000450204071000670208581000590215285600650221120260818090303.0150698         th                  eng    a.b101924631 aShrestha, Ajaya Lall10aDesign of the Sunkosi-Kamala interbasin diversion and reservoir project  aBangkok :bAsian Institute of Technology,c1991  a68 p.1 aThesis ;vno. WA-91-20  aA thesis submitted in partial fulfillment of the requirements for  the degree of Master of Engineering, School of Engineering and Technology  aThesis (M.Eng.) - Asian Institute of Technology, 1991  aThis study is concerned with the optimal design of the main  components of an integrated interbasin diversion-reservoir scheme .  Generally, interbasin deversion schemes are costly investments. In  addition to the conventional cost-benefit analysis, the optimal  design of such a system is guided by the reservoir operation policy  to be adopted. It is important that future operation policy be  studied at the planning stage.  A deterministic dynamic programming model has been used to  derive the optimal reservoir operation policy using historical  monthly inflow sequences. The historical sequences which include  the critical flow periods are used as deterministic input. The  critical periods influence the system reliability and the  vulnerability. At the planning stage of the scheme, the model  provides tentative sizes of the scheme's components.  The model has been applied in generating alternative sizes of  the scheme with different priority levels to irrigation and energy  generation . The model used in this study can be generalized to the  analysis of the scheme having several objectives.  A multi objective compromise programming model has been used to  determine the most preferred scheme among several alternatives. The  flexibility of the model provides an option to the decision maker  in arriving at appropriate choices of the weights and parameters.  Sensitivity analysis for compromise programming have been carried  out . 0aReservoirsxNepal 0aDynamic programming1 aPaudyal, Guna N., eChairperson1 aHarboe, Ricardo, eCo-Chairperson1 aGupta, Ashim Das,eExamination Committee2 aCanadian International Development Agency, eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. WA-91-20  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B17761