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

Abstract

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.

Conjunctive surface water and groundwater management under climate change

“…Chang et al (2011) used system dynamics to examine the performance of planning alternatives of conjunctive surface water and groundwater use, and evaluated the long-term effects of these alternatives on reduction of water shortage risks. Chang et al (2013) developed a fuzzy inference system for conjunctively managing surface water and groundwater use by incorporating expert knowledge and operational policies with the fuzzy rules. Safavi and Esmikhani (2013) presented a simulation-optimization model for conjunctive use of surface water and groundwater in the Zayandehrood river basin in Iran.…”

A novel approach to detect respiratory phases from pulmonary acoustic signals using normalised power spectral density and fuzzy inference system

“…FIS has the ability to map the input/ output on a knowledge base. The steps involved in FIS are fuzzification, rules formulation (rule base), rule evaluation (Inference engine) and defuzzification (18,19). The general block diagram of FIS is shown in Fig.…”

Conditional Operation Rules For Optimal Conjunctive Use of Surface And Groundwater

“…In the second method, the deterministic optimization model is implemented for several short-term artificial river flow time series or one long-term historical time series. Then the outputs obtained from the solution of the model can be presented as operation rules using different methods such as Fuzzy Inference System (Milan et al, 2018;Safavi et al, 2013;Chang et al, 2013), Adaptive Neuro-based Fuzzy Inference System (Safavi et al, 2013), andBayesian Networks (Rafipour-Langeroudi et al, 2014). Finally, the validity of these rules is confirmed by validation data.…”