Abstract: Using one dimensional flow analysis, curves are calculated for designing channel transitions so as to avoid choke. The prevention of choke is achieved by insuring that the flow in the channel below the imposed transition ...

Abstract: Numerous applications within water resources require a robust and efficient optimization algorithm. Given that these applications involve multimodal nonconvex and discontinuous search spaces, evolutionary algorithms ...

Abstract: A simple and methodical strategy is presented for estimating the parameters of a catchment. The method makes use of rainfall‐runoff records to construct response surfaces of the peak flow in terms of eight calibration ...

Abstract: The probabilistic‐based calibration strategy developed in this paper was briefly reviewed and applied to derive the optimum values of eight calibration parameters. Three optimum sets are obtained: estimations of peak flow, ...

Abstract: Cost of effective design or rehabilitation of the pipe networks depends largely on the available budget and satisfying pressures expected at the demand nodes. With the available market pipe sizes, one or more solutions of ...

Abstract: A relatively new approach, artificial neural network, was demonstrated in this study to be a highly suitable flow prediction tool yielding a very high degree of water-level prediction accuracy at Dhaka, Bangladesh, even ...

Abstract: It is common knowledge that the optimal values of the calibrated parameters of a rainfall-runoff model for one model response may not be the optimal values for another model response. Thus, it is highly desirable to derive ...

Abstract: A new catchment calibration approach based on the fractional-factorial and central-composite designs (FFD-CCD) is presented in this paper. The proposed method requires fewer simulations (almost 75% less) than the approach ...