Optimization Modeling for Conjunctive Use Planning of Surface Water and Groundwater for Irrigation

被引:29
|
作者
Singh, Ajay [1 ]
Panda, Sudhindra N. [1 ]
Saxena, C. K. [2 ]
Verma, C. L. [3 ]
Uzokwe, Veronica N. E. [4 ]
Krause, P. [5 ]
Gupta, S. K. [6 ]
机构
[1] Indian Inst Technol, Dept Agr & Food Engn, Kharagpur 721302, W Bengal, India
[2] CIAE, Irrigat & Drainage Engn Div, Bhopal 462038, India
[3] CSSRI Reg Res Stn, Lucknow 226002, Uttar Pradesh, India
[4] Int Inst Trop Agr, POB 34441, Dar Es Salaam, Tanzania
[5] TLUG, D-07745 Jena, Germany
[6] Cent Soil Salin Res Inst, Karnal 132001, Haryana, India
关键词
Irrigation; Conjunctive use planning; Linear programming; Nonlinear programming; Genetic algorithms; Dynamic programming; OPTIMAL RESERVOIR OPERATION; DECISION-SUPPORT-SYSTEM; GENETIC ALGORITHM; AQUIFER REMEDIATION; MULTILEVEL APPROACH; PURPOSE RESERVOIR; OPTIMIZING LAND; INTEGRATED SALT; TERTIARY UNITS; RIVER-BASIN;
D O I
10.1061/(ASCE)IR.1943-4774.0000977
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The continuous increase in global population and simultaneous decrease in good-quality water resources emphasize the need of conjunctive use of groundwater and surface-water resources for irrigation. The optimal allocation of water resources can be achieved by employing an appropriate optimization technique. This paper presents an overview of the different programming techniques used for the conjunctive use planning and management of irrigated agriculture. Past papers on the applications of different programming techniques for the conjunctive use of different water sources are grouped into four categories: linear programming, nonlinear programming, dynamic programming, and genetic algorithms. Conclusions are provided based on this review, which could be useful for all stakeholders.
引用
收藏
页数:9
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