Flood hydrograph simulation is affected by uncertainty in Rainfall – Runoff )RR( parameters. Uncertainty of RR parameters in Gharasoo catchment, part of the great Karkheh river basin, is evaluated by Monte–Carlo (MC) approach. A conceptual-distributed model, called ModClark, was used for basin simulation, in which the basin’s hydrograph was determined using the superposition of runoff generated by individual cells dividing the catchment in a raster–based discretization. A narrow parameter range was obtained through application of the MC method. Parameter range depended on goodness of fit measures. The results of various goodness-of-fit measures are discussed in this paper. The selected goodness-of-fit measures gave high weight to peak discharge to reduce peak discharge error.
A.Heidari, , & B. Saghfian and R. Maknoon, (2022). Flood Hydrograph Simulation with Uncertainty in Rainfall - Runoff Parameters. Journal of Advanced Materials in Engineering (Esteghlal), 23(2), 93-111.
MLA
A.Heidari; B. Saghfian and R. Maknoon. "Flood Hydrograph Simulation with Uncertainty in Rainfall - Runoff Parameters". Journal of Advanced Materials in Engineering (Esteghlal), 23, 2, 2022, 93-111.
HARVARD
A.Heidari, , B. Saghfian and R. Maknoon, (2022). 'Flood Hydrograph Simulation with Uncertainty in Rainfall - Runoff Parameters', Journal of Advanced Materials in Engineering (Esteghlal), 23(2), pp. 93-111.
VANCOUVER
A.Heidari, , B. Saghfian and R. Maknoon, Flood Hydrograph Simulation with Uncertainty in Rainfall - Runoff Parameters. Journal of Advanced Materials in Engineering (Esteghlal), 2022; 23(2): 93-111.
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