Optimization of water use structure and plantation benefit of unit water consumption using fractional programming and conditional value-at-risk model
Abstract
Keywords: agricultural water-use structure, plantation benefit of unit water consumption, the Sanjiang Plain, fractional programming (FP), chance-constrained programming (CCP), conditional value-at-risk (CVaR)
DOI: 10.3965/j.ijabe.20171002.2961
Citation: Fu Q, Xiao Y Y, Cui S, Liu D, Li T X. Optimization of water use structure and plantation benefit of unit water consumption using fractional programming and conditional value-at-risk model. Int J Agric & Biol Eng, 2017; 10(2): 151–161.
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Lu H, Huang G, He L. An inexact rough-interval fuzzy linear programming method for generating conjunctive water-allocation strategies to agricultural irrigation systems. Applied Mathematical Modelling, 2011; 35(9): 4330–4340.
Prasad A S, Umamahesh N V, Viswanath G K. Optimal irrigation planning model for an existing storage based irrigation system in India. Irrigation and Drainage Systems, 2011; 25(1): 19–38.
Huang Y, Li Y P, Chen X, Ma Y G. Optimization of the irrigation water resources for agricultural sustainability in Tarim River Basin, China. Agricultural Water Management, 2012; 107: 74–85.
Xie Y L, Huang G H, Li W, Li J B, Li Y F. An inexact two-stage stochastic programming model for water resources management in Nansihu Lake Basin, China. Journal of Environmental Management, 2013; 127: 188–205.
Guo P, Wang X L, Zhu H, Li M. Inexact fuzzy chance-constrained nonlinear programming approach for crop water allocation under precipitation variation and sustainable development. Journal of Water Resources Planning and Management, 2014; 140(9): 05014003.
Samuel M P, Mathew A C. Improving water use efficiency by integrating fish culture and irrigation in coconut based farming system: A case study in Kasaragod District of Kerala (India). Int J Agric & Biol Eng, 2014; 7(2): 36–44.
Cheng K, Fu Q, Li T X, Jiang Q X, Liu W. Regional food security risk assessment under the coordinated development of water resources. Natural Hazards, 2015; 78(1): 1–17.
Cheng K, Fu Q, Chen X, Li T X, Jiang Q X, Ma X S, et al. Adaptive allocation modeling for a complex system of regional water and land resources based on information entropy and its application. Water Resources Management, 2015; 29(14): 4977–4993.
Qiang F, Li J, Dong L, Li T X. Allocation optimization of water resources based on uncertainty stochastic programming model considering risk value. Transactions of the CSAE, 2016; 32(7): 136–144. (in Chinese)
Yang G, Guo P, Li M, Fang S Q, Zhang L D. An improved solving approach for interval-parameter programming and application to an optimal allocation of irrigation water problem. Water Resources Management, 2016; 30(2): 701–729.
Mirfenderesgi G, Mousavi S J. Adaptive meta-modeling- based simulation optimization in basin-scale optimum water allocation: A comparative analysis of meta-models. Journalof Hydroinformatics, 2015; 18(3): 446–465.
Hu Z N, Chen Y Z, Yao L M, Wei C T, Li C Z. Optimal allocation of regional water resources: From a perspective of equity–efficiency tradeoff. Resources Conservation & Recycling, 2016; 109: 102–113.
Fu Q, Meng F X, Li T X, Liu D, Gong F L, Osman A, et al. Cloud model-based analysis of regional sustainable water resource utilization schemes. Int J Agric & Biol Eng, 2016; 9(5): 67–75.
Li M, Guo P, Singh V P. An efficient irrigation water allocation model under uncertainty. Agricultural Systems, 2016; 144: 46–57.
Ahmad I, Tang D. Multi-objective linear programming for optimal water allocation based on satisfaction and economic criterion. Arabian Journal for Science and Engineering, 2016; 41(4): 1421–1433.
Guo P, Huang G H. Two-stage fuzzy chance-constrained programming: application to water resources management under dual uncertainties. Stochastic Environmental Research and Risk Assessment, 2009; 23(3): 349–359.
Li Y P, Huang G H, Yang Z F, Nie S L. IFTCIP: An integrated optimization model for environmental management under uncertainty. Environmental Modeling and Assessment, 2009; 14(3): 315–332.
Maceira M E P, Marzano L G B, Penna D D J, Diniz A L, Justino T C. Application of CVaR risk aversion approach in the expansion and operation planning and for setting the spot price in the Brazilian hydrothermal interconnected system. Electrical Power and Energy Systems, 2015; 72: 126–135.
Qiu R Z, Huang X Y, Yuan H T. Robust optimization model of multi-period inventory with uncertain demand distribution. Control and Decision, 2014; 29(9): 1644–1648.
Xu L, Yu B. CVaR-constrained stochastic programming reformulation for stochastic nonlinear complementarity problems. Computational Optimization and Applications, 2014; 58(2): 483–501.
Fu Q, Zhao K, Liu D, Jiang Q X, Li T X, Zhu C H. The application of a water rights trading model based on two-stage interval-parameter stochastic programming. Water Resources Management, 2016; 30(7): 2227–2243.
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