scispace - formally typeset
Journal ArticleDOI

Comparison of solutions of Saint-Venant equations by characteristics and finite difference methods for unsteady flow analysis in open channel

TLDR
In this article, the results of the two methods were compared and this was shown that: 1) these two methods can draw the surface profiles and flow hydrograph as well; 2) the mesh size in finite difference method can be larger than that one; 4) the difference between two methods are increased by increasing the time and distance.
Abstract
The unsteady flow can be analysed by Saint-Venant equations These equations can be solved by characteristics and finite difference methods The Saint-Venant equations are changed into four complete differential equations in characteristics method and these equations are solved by drawing two characteristics lines The Saint-Venant equations are changed into set nonlinear equations and are solved using Preissman scheme in finite difference method This set of equation is changed into linear equation using Newton-Rafson method and can be solved using Sparce method In this research, the results of the two method were compared and this was shown that: 1) these two methods can draw the surface profiles and flow hydrograph as well; 2) the finite difference method is more accurate than that one; 3) the mesh size in finite difference method can be larger than that one; 4) the difference between two methods are increased by increasing the time and distance

read more

Citations
More filters
Journal ArticleDOI

Developing an optimal design model of furrow irrigation based on the minimum cost and maximum irrigation efficiency

TL;DR: In this article , the Valiantzas equation has been applied for calculating the water advance period in an indistinct and detailed way, which has been assumed from the consequences of the zero inertia prototypical.
Journal ArticleDOI

Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models

TL;DR: In this paper, three machine learning models, viz. long short-term memory (LSTM), multi-linear regression (MLR), and artificial neural network (ANN), have been trained.
Journal ArticleDOI

Laboratory investigation on erosion threshold shear stress of cohesive sediment in Karkheh Dam

TL;DR: In this paper, the authors investigated the initial erosion threshold shear stress, the impact of consolidation and sediment depth were examined by cylindrical settling columns, and the results showed that the concentration of eroded sediments is a function of time for the consolidation of reservoir sediment and bed shear stresses and also observed that the duration of consolidation time is an effective factor on critical erosion shear stressed.
Journal ArticleDOI

Investigation on the effect of inclined crest step pool on scouring protection in erodible river beds

TL;DR: In this article, the authors evaluate the capability of the step-pool method using a ramp at the upper edge to protect channels bed against erosion while increasing required distance between two consecutive steppools and reducing the downstream scouring depth due to waterfall on the steppool.
Related Papers (5)