Please use this identifier to cite or link to this item:
Title: Urban water supply management through fuzzy programming
Authors: Chen, Puluo
Keywords: DRNTU::Engineering
Issue Date: 2014
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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP WR-20 Final Version CHEN PULUO.pdf
  Restricted Access
Final Year Project Report555.02 kBAdobe PDFView/Open

Page view(s) 5

Updated on Dec 5, 2020

Download(s) 5

Updated on Dec 5, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.