Author(s): Shanshan Guo; Chenchen Wei; Linlin Fan; Kamal Ahmed; Nadeem Nawaz; Bushra Khurshid; Yalong Li
Linked Author(s):
Keywords: Water-food-energy nexus; Dynamic analysis; Multi-objective programming; Water footprint; Greenhouse gas emission
Abstract: Sustainable development is hindered by the conflicts in resources in numerous regions of the world. These challenges need to be addressed by a comprehensive way, especially for agriculture. In this study, an integrated agricultural water management optimization method is proposed based on dynamic analysis on water-food-energy nexus as well as environmental impact quantification. The spatial and temporal dynamic of water cycle and crop growth were described through dynamic water balance function and downscaled water production function. Meanwhile, based on the water footprint and global warming potential, the non-point pollution from fertilizer application and greenhouse gas emission from agricultural production were quantified as the environmental impact of agricultural water-food-energy nexus. Further, net benefit, water utilization, greenhouse gas emission and energy generation were selected as the key indicators of sustainable development and a multi-objective flexible programming was developed to show the influence of constraint violation. In order to solve the model, a maximizing deviation method and fuzzy-expectation-based method were combined to deal with multiple objectives and fuzzy flexible constraints. The developed modelling structure was applied in Zhanghe Reservoir Irrigation Area. The results offer optimal agricultural water strategies and reveal the water supply structure from multiple water sources. Meanwhile, the results find that nitrogen fertilizer is the key factor which determines grey water and energy consumption is the main contributor for global warming. Therefore, the established optimization structure can supply implication of agricultural production and help managers generate efficient decision.
Year: 2024