Urban water supply management through fuzzy programming

Abstract

As fresh water resources are limited and population in urban areas is growing rapidly

today, urban water supply management is needed in order to meet the increasing water

demands as well as to reduce the water wastage. Generally, a water supply system

consists of four components, which are water resources, treatments, reservoirs and

consuming zones. The related parameters to these components like leakage rate, transfer

cost, etc. are usually under uncertainty due to incomprehensive information. To

optimize a water supply system, triangular fuzzy chance-constrained programming is

applied in this study , and the case of Hamedan City in Iran is selected for domostration.

The parameters with uncertainty are expressed as triangular-shaped fuzzy numbers.

With an objective of minimizing the system cost and several chance constraints, the

whole simulation is conducted at several confidence levels with the help of linear

programming software. Results show that triangular fuzzy chance-constrained

programming is able to generate reasonable solutions at a higher confidence level.