An element technique development reflecting the entropy concept of the application to smart water grid

Abstract

Recently the international trend of water management is changing from the supply to the demand management, shifting the paradigm of the water resource control. As a result, the Smart Water Grid as the next generation system is being studied and developed in many countries. Although many researchers have kept an eye on the system, the very important discharge estimation in a river is still in question. In many countries, the stage-discharge curve method has been used to predict discharge at a low or high stage in spite of its uncertainties. In order to improve the conventional problem, in the current study, the authors developed a new mean velocity estimation law reflecting hydraulic characteristics such as the bed slope, width, wetted perimeter, kinematic viscosity and etc. The proposed method is possible to estimate the maximum velocity which is difficult to measure in an open channel, and the reliable flow rate estimation is also possible by calculating the entropy function called “Equilibrium state phi (M)” which presents a specific character of a river. The results present remarkable precision and show that the accurate estimation of discharge is possible at flood season.