Multi-Criteria Decision Analyses for the Selection of Hydrological Flood Routing Models

In this study, a framework to circumvent the difficulties in selecting proper flood routing method was established by employing two different multi-criteria decision analysis (MCDA) tools, namely, TOPSIS and PROMETHEE, with definite decisive criteria such as error metrics, number of model parameters, background, under three scenarios. For eight distinct datasets, parameters 10 Muskingum models were determined using water cycle optimization algorithm (WCOA) performance each ranked both MCDA tools considering hydrograph types labeled smooth single peak, non-smooth multi-peak, irregular. The results indicate that compatible giving similar rankings almost all scenarios include weights criteria. ranking from also showed application single-peak hydrographs examined better empirical have high parameters; however, complex more than one peak irregular limps can be assessed physical-based has fewer parameters. proposed approach serves an extensive finding good agreement between measured routed for modelers about estimation capabilities commonly used importance correlation, complexity, characteristics.