(361a) Spatial Optimization for Land Use Allocation Under Food-Energy-Water Nexus Conciderations
In this work, a general framework for combined land use optimization and resource management in FEW-N systems is described. An optimization problem is formulated that combines spatial land grids, FEW supply and demand, and multiple objectives. A graph theory based algorithm is employed to facilitate the distribution of land grids. Combined data analytics and mixed-integer nonlinear modeling and optimization methods are used to establish the interdependencies and potentially competing interests among the FEW elements related to different land patterns, along with sustainability, economic benefit, and feedback from multiple stakeholders. A multi-objective optimization strategy is followed for the trade-off analysis empowered by the introduction of composite FEW-N metric as means to facilitate decision-making and compare alternative processes and pathways [5,6]. An existing area in China is selected as a case study to verify the validity of the model. Computational results indicate that the approach can solve land use spatial optimization problems, achieve trade-off solutions for multiple objectives, and coordinate the competitions in the FEW-Nexus.
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