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PERFORMANCE ANALYSIS OF ON‐DEMAND PRESSURIZED IRRIGATION NETWORK DESIGNED WITH LINEAR AND FUZZY LINEAR PROGRAMMING
Author(s) -
Kanakis P. C.,
Papamichail D. M.,
Georgiou P. E.
Publication year - 2014
Publication title -
irrigation and drainage
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 38
eISSN - 1531-0361
pISSN - 1531-0353
DOI - 10.1002/ird.1853
Subject(s) - fuzzy logic , linear programming , minification , computer science , irrigation , network planning and design , operations research , mathematical optimization , engineering , mathematics , computer network , ecology , algorithm , artificial intelligence , biology , programming language
ABSTRACT In on‐demand pressurized irrigation networks the pressure and discharge requirements at each hydrant are dependent on the irrigation system requirements and the availability of water resources. Possible changes in these requirements can occur in the future because of change of irrigation methods, advances in technology, changes in user practices and behaviour, management decisions or future trends related to effective irrigation water application, altering pressure requirements at hydrants and the discharge at the upstream end of the network. The objective of this paper is to deal with changes in the pressure requirements by using the method of fuzzy linear programming (FLP) for the minimization of the pipes cost during the design stage of such a network. The FLP uses fuzzy numbers for the pressure head constraints at the hydrants. An application of the method in a case study network in Greece is presented and the results are compared with those from the linear programming (LP), focusing on the performance analysis of the generated networks, using the well‐known computer program COPAM. The results showed that the network design with FLP can cope better with future changes than the network designed with LP. Copyright © 2014 John Wiley & Sons, Ltd.