Al-Zahrani, MA

King Fahd University of Petroleum and Minerals

 
 
Stochastic goal programming model for optimal blending of desalinated water with 
groundwater 
Al-Zahrani, M.A.   , Ahmad, A.M. 
Water Resources Management 
Vol. 18, Issue.4, 2004 
 
 
Abstract:  A stochastic goal programming (GP) model is developed in order to 
determine the daily production of desalination plants to meet the requirements of water 
blending stations (WBS) for major cities in the Eastern Province of the Kingdom of Saudi 
Arabia. The WBS is assumed to be a control point in the system where water is blended 
to satisfy the desired water quality, downstream of the control point. The desalinated 
water is blended with brackish groundwater extracted from several groundwater wells. 
The objective of the model is to minimize the goal deviations from the following priority 
levels: demand for blended water, control of salinity levels, depletion of groundwater and 
maximize the use of brackish water, demand for brackish water at WBS, and production 
of desalinated water. An essential element of the model is the input data; unfortunately, 
available data are not accurate due to the inherent uncertainty associated with it. This 
uncertainty will generate uncertainty in the model output, which affects reliability and 
confidence associated with the decisions. Thus, reliable planning should consider 
uncertainties associated with model input parameters. The developed stochastic model 
shows how Goal Programming (GP) modeling can be used to plan the water resources in 
the Eastern Province of Saudi Arabia, assuming that both supply and demand are 
uncertain. © 2004 Kluwer Academic Publishers. 


Stochastic goal programming model for optimal blending of desalinated water with groundwater

https://eprints.kfupm.edu.sa/id/eprint/9343/1/abs_zahrani_jp_03.pdf

Stochastic goal programming model for optimal blending of desalinated water with groundwater

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