the objective in this study was to assess the performance of the control algorithms and determine the appropriate controller for aghili irrigation network. to evaluate the efficiency of the control algorithms, the performance criteria of the maximum absolute error, integral absolute error and steady state error were considered during the simulations of a one month period and with regard to the ...

in the face of limited water resources, better utilization and operation of irrigation networks is essential. use of control systems is considered as one of the most assured ways to achieve the aim. in the course of the present study, two centralized controllers are applied to the west canal of aghili irrigation district in i. r. iran. the proposed control algorithms consist of a distant downst...

A comparative study about twomodels, Muskingum and integrator-delay (ID) models, for canal control is presented.The former is a simplified hydrological model which is very simple and extensively used in hydraulic engineering for simulation and prediction. The latter is also a model with physical meaning and is widely used for irrigation canals control. Due to a lack of general awareness of Musk...

for the performance improvement and higher flexibility in irrigation networks, applications of automatic systems are expanding and on evaluation of their success for achieving the objectives are essential and necessary. considering various equipment, algorithms, and their applications at different levels of irrigation networks, the performance of automatic systems is a function of the performan...

because of a lack of means to match the traditional operating rules and regulations with time dependent variant of water needs in the present irrigation networks, a considerable portion of available water is wasted in these systems. this makes research on methods of operation and determination of types of controls as well as optimization approaches, attainable through using hydrodynamic models ...

In this paper, the Artificial Neural Network (ANN) approach is applied for forecasting groundwater level fluctuation in Aghili plain,southwest Iran. An optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (GDM), levenberg marquardt (LM), resilient back propagation (RP), and scaled conjugate gradient (SCG). Rain,evaporation, relative...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

in this paper, the artificial neural network (ann) approach is applied for forecasting groundwater level fluctuation in aghili plain,southwest iran. an optimal design is completed for the two hidden layers with four different algorithms: gradient descent withmomentum (gdm), levenberg marquardt (lm), resilient back propagation (rp), and scaled conjugate gradient (scg). rain,evaporation, relative...

The improvement of irrigation systems in the Nile Delta is one of the most important attempts in Egypt to implement more effective irrigation technology by improving the existing irrigation networks. Demand delivery system in the existing irrigation network is using of mechanical gates structures to automatically divert water from one portion of an agricultural field to another in the desired a...