Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2875
Title: Comparison of VPMM, VPMC and Multilinear Muskingum Method Applied to Compound Channels
Authors: Bhatnagar, Sagar
Khatua, K K
Keywords: Flood Routing
VPMM
Variable Parameter Muskingum-Cunge
Multilinear Muskingum method
Issue Date: Dec-2017
Citation: 22nd International Conference on Hydraulics,Water Resources and Coastal Engineering, Ahmedabad, Gujarat,India, 21-23 December 2017
Abstract: The VPMM (Variable parameter McCarthy Muskingum) model is derived directly from the Saint Venant equations applied to a gradually varied 1-D unsteady flow in rigid bed channels without considering lateral inflow or outflow. In the VPMM method, the model parameters are determined from the flow and channel characteristics which changes at every time step. The Muskingum-Cunge is a viable alternative to the classical Muskingum method, particularly for the cases where hydrologic data (i.e. streamflow data) are not available, but where hydraulic data (cross-sectional data and channel slopes) can be readily ascertained. The Muskingum-Cunge method matches the numerical diffusion of the discrete model with the physical diffusion of the analytical model. Variable parameter Muskingum-Cunge (VPMC) method and its modified versions conserve more mass than the classical Muskingum-Cunge method. Multilinear Muskingum method is based on time distribution scheme. The methods are being reviewed with varying parameters at each routing time step unlike the then existing multilinear models. The paper reviews VPMM, VPMC and Multilinear Muskingum method, and their applications to some study areas, with their applicability conditions. The study concludes by analyzing their improvements and modifications to the existing models.
Description: Copyright of this document belongs to proceedings publisher
URI: http://hdl.handle.net/2080/2875
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2017_HYDRO_SBhatnagar_Comparison.pdfPaper456.62 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.