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

机译:地表水与地下水联合使用的模糊推理系统

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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.
机译:本研究利用模糊推理系统(FIS)建立了地表水和地下水联合使用的水资源管理模型。该研究将FIS应用于分配地表水和地下水的需求。随后,使用线性规划技术模拟地表水系统中的水分配,并使用人工神经网络预测地下水系统对抽水的响应。水系统的运行规则是,水系统越丰富,供给的水就越多。通过使用模糊规则,FIS联合使用模型可以轻松地将专家知识和操作策略纳入水资源管理。结果表明,与解耦的联合使用模型和仿真优化模型相比,FIS模型更加有效。此外,FIS模型是获得地表水与地下水之间联合使用政策的一种替代方法。

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