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Advances in Fuzzy Systems
Volume 2013, Article ID 128393, 10 pages
Research Article

A Fuzzy Inference System for the Conjunctive Use of Surface and Subsurface Water

1Department of Civil Engineering, National Chiao Tung University, 1001 Ta Hsueh Road, Hsinchu 30050, Taiwan
2Department of Geomatics, National Cheng Kung University, No. 1 University Road, Tainan 701, Taiwan

Received 8 May 2013; Accepted 29 June 2013

Academic Editor: Salvatore Sessa

Copyright © 2013 Liang-Cheng Chang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study develops the water resources management model for conjunctive use of surface and subsurface water using a fuzzy inference system (FIS). The study applies the FIS to allocate the demands of surface and subsurface water. Subsequently, water allocations in the surface water system are simulated by using linear programming techniques, and the responses of subsurface water system with respect to pumping are forecasted by using artificial neural networks. The operating rule for the water systems is that the more abundant water system supplies more water. By using the fuzzy rule, the FIS conjunctive use model easily incorporates expert knowledge and operational polices into water resources management. The result indicates that the FIS model is more effective and efficient when compared with the decoupled conjunctive use and simulation-optimization models. Furthermore, the FIS model is an alternative way to obtain the conjunctive use policies between surface and subsurface water.