HR: 1340h
AN: H33G-1706    [Abstracts]
TI: Reservoir Flood Operation Planning Using Penalty-Type Genetic Algorithm
AU: * Chang, L
EM: changlc@mail.tku.edu.tw
AB: The purposes of a reservoir flood control operation are to decrease the flood peak stage downstream and to store enough floodwaters in the end of operation. In this study, we investigate rational operation decisions through formulating a reservoir flood control optimization model with linguistic description of requirements and regulations, and using the genetic algorithm (GA) to search a global optimum of a mixture of mathematical and nonmathematical formulations. Due to the great number of constraints and flood control requirements, the proper penalty strategy is proposed to guide the GA searching process. The proposed approach is applied to the Shihmen reservoir in North Taiwan for finding the rational (optimal) hydrograph as a case study. To demonstrate the effectiveness of the proposed approach, the simplex method was performed. The results demonstrated that a penalty-type genetic algorithm can be satisfactorily used in reservoir flood control planning to provide rational hydrographs for two purposes of flood operation, reducing flood damage and increasing final storage.
DE: 1821 Floods
DE: 1857 Reservoirs (surface)
SC: Hydrology [H]
MN: 2007 Fall Meeting