the hydrodynamic behavior of approaching flow and the amount of sediment entry into right-angled lateral intakes in diversion dams were investigated using a laboratory channel by experimental measurement and observation. the velocity field upstream of the intake in the main channel and before it at the sluice gate was measured at different elevations of flow at different discharge rates of the ...

Flow in the open channels has great importance in the hydraulic engineering. Any disturbances as contractions and expansions affect the flow characteristics like velocities, flow rates and water surface profiles. Their effects on the flow must be considered during the design process of flow structures. In the last decades numerical solutions become popular as experimental studies take time, may...

Free surface potential flows past surfboards and sluice gates are considered. The problem is solved numerically by boundary integral equation methods. In addition weakly nonlinear solutions are presented. It is shown among the six possible types of steady flows, only three exist. The physical relevance of these solutions is discussed in terms of the radiation condition (which requires that ther...

Caruachi Hydroelectric Project conforms together with Guri, Tocoma and, Macagua the Lower Caroni Hydroelectric Development. Second Stage of River Diversion at Caruachi included diverting the Caroni River through 18, 5.5 × 9m sluices in the spillway lower body that after being closed by gates permitted the reservoir filling. In order to define the precise timing for closure of the sluices and to...

The method of sluice control applied to reservoir is executed manually in field at present. To fix this problem, sluice remote monitoring system based on GPRS and PLC is provided. Some advanced technologies used in system are discussed. The system structure and principle are introduced. The system realizes wireless network connections between local control unit and center control unit based on ...

An improved neuro-fuzzy based group method of data handling using the particle swarm optimization (NF-GMDH-PSO) is developed as an adaptive learning network to predict the localized scour downstream of a sluice gate with an apron. The input characteristic parameters affecting the scour depth are the sediment size and its gradation, apron length, sluice gate opening, and the flow conditions upst...