Abstract
This work defined an Eulerian-based computational model compared with regression of the relationship between the dependent and independent variables for water hammer surge wave in transmission pipeline. The work also mentioned control of Unaccounted-for-Water (UFW) based on the Geography Information System (GIS) for water transmission pipeline. The experimental results of laboratory model and the field test results showed the validity of prediction achieved by computational model.
Highlights
Water hammer phenomena occurring during water hammer are explained on the basis of compressibility of liquid
These approximate equations are solved by numerical solutions of the nonlinear Navier-Stokes equations in a method of characteristics (MOC)
The pipeline was equipped with the valve at the end of the main pipe, which was joined with the closure time register
Summary
Water hammer phenomena occurring during water hammer are explained on the basis of compressibility of liquid. The (MOC) approaches transform the water hammer partial differential equations into the ordinary differential equations along the characteristic lines defined as the continuity equation, and the momentum equation are needed to determine V and P in a one-dimensional flow system Solving these two equations produces a theoretical result that usually corresponds quite closely to actual system measurements based on Geography Information System (GIS) if the data and assumptions used to build the (GIS) already are valid. In the presence of autocorrelated residuals, the linear regression procedure gives inaccurate estimates of how much of the series variability is accounted for by the chosen predictors. This can adversely affect the choice of predictors, and the validity of the model [1]
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