Arid
DOI10.1007/s11269-019-02229-4
Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming
Sepahvand, Reza; Safavi, Hamid R.; Rezaei, Farshad
通讯作者Safavi, Hamid R.
来源期刊WATER RESOURCES MANAGEMENT
ISSN0920-4741
EISSN1573-1650
出版年2019
卷号33期号:6页码:2123-2137
英文摘要In arid and semi-arid regions, climate change causes a drastic decline in the volume of water resources as water demands increase. Thus, the present study is aimed at using a simulation-optimization model to perform conjunctive management of surface-ground water use to achieve two main objectives: (1) minimizing shortages in meeting irrigation water demands and (2) maximizing the total agricultural net benefit for the main crops of an agricultural sector. To meet these main goals, first, the genetic programming (GP) method is used to simulate surface water-groundwater interactions. Then, the simulation model is linked to a multi-objective genetic algorithm (MOGA) as the optimization model, yielding a simulation-optimization model. In order to investigate the impact of different climatic conditions on the optimized surface and ground water allocation and propose an optimal crop pattern for each climatic period, three planning periods (wet, normal and dry) were addressed in modeling the conjunctive water use management problem. Finally, the economic results of this study suggested a maximum increase in the net benefit by 38.19%, 59.37% and 45%, as compared to those obtained in the actual operation in wet, normal and dry years, respectively, for one study sub-area. The net benefit was also increased by at most 84.79%, 83.3% and 120.77% in wet, normal and dry years, respectively, for another study sub-area, demonstrating the competence of the optimal conjunctive use model to enhance net benefits with the least negative socio-environmental impacts resulting from any development and management scheme in the field of water resources.
英文关键词Conjunctive use Multi-crop pattern planning Simulation-optimization Multi-objective optimization Genetic programming Compromise programming
类型Article
语种英语
国家Iran
收录类别SCI-E
WOS记录号WOS:000466178800014
WOS关键词OPTIMIZATION MODEL ; MANAGEMENT ; ALGORITHM ; BASIN
WOS类目Engineering, Civil ; Water Resources
WOS研究方向Engineering ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/219281
作者单位Isfahan Univ Technol, Dept Civil Engn, Esfahan, Iran
推荐引用方式
GB/T 7714
Sepahvand, Reza,Safavi, Hamid R.,Rezaei, Farshad. Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming[J],2019,33(6):2123-2137.
APA Sepahvand, Reza,Safavi, Hamid R.,&Rezaei, Farshad.(2019).Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming.WATER RESOURCES MANAGEMENT,33(6),2123-2137.
MLA Sepahvand, Reza,et al."Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming".WATER RESOURCES MANAGEMENT 33.6(2019):2123-2137.
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