Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms

Hamid R. Safavi; Mahdieh Esmikhani

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Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms

机译：地表水和地下水的联合使用：支持向量机（SVM）和遗传算法的应用

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Combined simulation-optimization models have been widely used to address the management of water resources issues. This paper presents a simulation-optimization model for conjunctive use of surface water and groundwater at a basin-wide scale, the Zayandehrood river basin in west central Iran. In the Zayandehrood basin, in the past 10 years, a historical low rainfall in the head of the basin, combined with growing demand for water, has triggered great changes in water management at basin and irrigation system level. The conjunctive use model that coupled numerical simulation with nonlinear optimization is used to minimize shortages of water in meeting irrigation demands for four irrigation systems. Constraints guarantee the maximum/minimum cumulative groundwater drawdown and maximum capacity of irrigation systems. A support vector machines (SVMs) model is developed as a simulator of surface water and groundwater interaction model while a genetic algorithm (GA) is used as the optimization model. Conjunctive use model runs for three scenarios. Results show that the accuracy of SVMs as a simulator for surface water and groundwater interaction model is good and that it is possible to decrease the water shortage for irrigation systems with application of proposed SVMs-GA model.

机译：组合的模拟优化模型已被广泛用于解决水资源管理问题。本文提出了一个模拟优化模型，用于伊朗中西部Zayandehrood河盆地全流域地表水和地下水的联合利用。在过去的十年中，在Zayandehrood流域，该流域顶部的历史性低降雨加上对水的需求不断增加，引发了流域和灌溉系统一级的水管理发生了巨大变化。将数值模拟与非线性优化相结合的联合使用模型可最大程度地减少水资源短缺，以满足四个灌溉系统的灌溉需求。约束条件保证最大/最小的累计地下水汲取量和最大的灌溉系统容量。支持向量机（SVM）模型被开发为地表水和地下水相互作用模型的仿真器，而遗传算法（GA）被用作优化模型。联合使用模型在三种情况下运行。结果表明，支持向量机作为地表水和地下水相互作用模型的仿真器具有良好的精度，并且可以通过使用提出的支持向量机-GA模型来减少灌溉系统的缺水情况。

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来源
《Water Resources Management》 |2013年第7期|2623-2644|共22页
作者
Hamid R. Safavi; Mahdieh Esmikhani;
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作者单位

Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran;

Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran;

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原文格式 PDF
正文语种 eng
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关键词
surface water; groundwater; conjunctive use; support vector machines; optimization; simulation; genetic algorithm;

机译：地表水;地下水;联合使用;支持向量机;优化;模拟;遗传算法;

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Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms

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