A novel simulation–optimization strategy for stochastic‐based designing of flood control dam: A case study of Jamishan dam

This study presents a novel stochastic simulation–optimization approach for optimum designing of flood control dam through incorporation of various sources of uncertainties.

The MOPSO optimization approach is linked with the runoff simulation model to determine the optimum sizes of the dam flood control system such as dam crest elevation, flood control height, length of the spillway, number and width of spillway piers. The annual cost of dam implementation and dam overtopping probability are utilized as two objective functions. The combination of various sources of uncertainty such as meteorological, hydrological, hydraulic, and dam operation is considered using 13 unique cases.

Overall, it can be concluded that stochastic variables should be considered in a simulation–optimization model to remove the effect of random variables on the optimum design of a flood control dam. The results reveal indeed that the obtained Pareto front strongly depends on the stochastic variables used. For more detailed results, please refer to the conclusion of the study, page 17.