A methodology based on adaptive ANN models is proposed for flood routing in river systems. The proposed methodology is capable of modeling both converging and diverging river networks. A Multilayer Perceptron Network (MLP), a Recurrent Neural Network (RNN), a Time Delay Neural Network (TDNN) and a Time Delay Recurrent Neural Network (TDRNN) are applied in this study. An Adaptive training proced...

In general, the Muskingum-Cunge method is used to route floods when observed flood data are not available. this study, applicability of Variable Parameter (VPMC) routing was investigated in a gauged creek reach. The reach between two stream gauging stations. Some physical characteristics reach, such as length, bed slope, cross sections, and Manning’s coefficient (n), were determined by using di...

abstract the muskingum method is frequently used to route floods in hydrology. however, application of the model is still difficult because of the parameter estimation’s. recently, some of heuristic methods have been used in order to estimate the nonlinear muskingum model. this paper presents a efficient heuristic algorithm, simulated annealing, which has been used to estimate the three paramet...

parameter estimation of the nonlinear muskingum model is a highly nonlinear optimization problem. although various techniques have been applied to optimize the coefficients of the nonlinear muskingum flood routing models, but an efficient method for this purpose in the calibration process is still lacking. the accuracy of artificial bee colony (abc) algorithm is investigated in this paper to op...

flood is one of the major natural disasters in iran, which is mostly, affected most parts of the country and caused hazards. therefore, identification of the area with high potential risk of flood occurrence is the main purpose in order to the flood control and reducing its damages. in this research the role of the flood routing in identification of the area with high potential flooding has inv...

Estimation of surface runoff in a watershed based on the rate of received precipitation and quantifying discharge at outlet is important in hydrologic studies. In this study, HEC-HMS hydrological model version 3.4 was used to simulate rainfall-runoff process in Abnama watershed located in south of Iran. To compute infiltration, rainfall excess conversion to runoff and flow routing, methods like...

Abstract We analyzed the characteristics of main karstic/non-karst reaches Lijiang River to uncover causes behind different flood behaviors by providing a better understanding formation. Having 63 years rainfall-runoff data and applying HEC-HMS model, geo/hydrological features were investigated. The available reservoir capacity karts (ARCK) was included through soil moisture accounting loss ass...