A multi-objective fuzzy programming model for optimal use of irrigation water and land resources under uncertainty in Gansu Province, China

• DOI: 10.1016/j.jclepro.2017.06.185
• Publication Date: 2017-06-22T09:04:02Z
• Authors: Chongfeng Ren; Ping Guo; Qian Tan; Liudong Zhang
• Keywords: 0207 environmental engineering; 02 engineering and technology; 6. Clean water

Abstract This paper developed a multi-objective fuzzy programming method for simultaneously optimizing the use of water and land resources for irrigation under uncertainty. The developed model was then applied to a case study in Wuwei, Gansu Province, China. In this study, administrative, economic and ecological benefits were regarded as the planning objectives. Moreover, the variations of irrigation water demand with rainfall, soil moisture content and evapotranspiration were considered in the developed model. Optimal irrigation plans were obtained under different possibility levels of fuzzy parameters. The obtained results could be helpful for decision makers to make decisions on the optimal use of irrigation water and land resources under uncertainty and multiple objectives.