An inexact fuzzy parameter two-stage stochastic programming model for irrigation water allocation under uncertainty

作者：Li, M.; Guo, P.^*; Fang, S. Q.; Zhang, L. D.

来源：Stochastic Environmental Research and Risk Assessment, 2013, 27(6): 1441-1452.

DOI：10.1007/s00477-012-0681-y

• Fuzzy
• Inexact two-stage stochastic programming
• Irrigation water
• Optimal allocation
• Uncertainty

In this study, an inexact two-stage stochastic programming model is developed, which can provide an effective linkage between conflicting economic benefits and the associated penalties attributed to the violation of the predefined policies. The developed model was applied to irrigation water allocation optimization system in Minqin County, Gansu province, China. Three different water demands (high, middle, and low) were considered. Fuzzy parameters in the inexact two-stage stochastic programming model were introduced to account for fuzzy events that exist in the irrigation water allocation optimizing system. As the result, the optimal water allocation plans, both from surface water and groundwater, were obtained at different flow levels and different alpha-cut levels of Minqin County. The final results were expert to make great contributions in helping local managers to make decisions on allocating irrigation water more effectively under uncertainty.

• 出版日期2013-8
• 单位云南农业大学; 中国农业大学