Optimizing Schemas of Flood Control and Disaster Reduction Engineering Based on Variable Fuzzy Sets Theory

Due to significance of engineering schemas for flood control and disaster reduction (FCDR), the variable fuzzy sets (VFS) theory is presented and the river network models (MIKE11 and MIKE21) are introduced to calculate and analyze the flood submerging process for certain river basin and to set up its optimization model for FCDR engineering schemas. It's proved that the proposed model can scientifically and reasonably determine relative membership degrees (RMDs) and relative membership function of schema index at its feature value interval, and it also can properly select schema with high optimal membership degree by varying the model and its parameters, so that the reliability of optimizing schema can be improved. The established method is applied to optimize flood control and disaster mitigation engineering projects of Biliuhe reservoir's lower river course for a case. The case study shows the proposed method is feasible and effective, and the optimization result is reasonable.