Abstract An approach is presented for directly deriving a variable parameter Muskingum method from the St. Venant equations for routing floods in channels having any shape of prismatic cross-section and flow following either Manning's or Chezy's friction law. The approach also allows the simultaneous computation of the stage hydrograph corresponding to a given inflow or the routed hydrograph. T...

The Muskingum-Cunge flood routing procedure has been incorporated into the Natural Resources Conservation Service Technical Release 20 (TR-20) hydrologic model. The TR-20 model is an event watershed hydrologic model used to analyze impacts of watershed changes (land use, reservoir construction, channel modification, etc) on volume of runoff and peak discharge. Rainfall runoff modeling is very i...

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...

A model for real-time flood forecasting in river systems with large drainage areas has been developed. Flow variations between upstream and downstream stations are interlinked and are typically governed by reach properties. Unique paired variations establish useful flow correspondence resulting in inflow and outflow forecasting models for a reach. The proposed model can generate forecasts with ...

muskingum-cunge is one of the widely employed methods for flood routing. direct calibration of the model based on previous flood events is not required and the routing parameters in this method are determined according to physical characteristics and hydraulic conditions of the stream. during the last decade, different modifications were proposed for the method to increase its accuracy. in this...