Land use modeling and optimization based on food-energy-water nexus: a case study on crop-livestock systems Chapter uri icon


  • 2018 Elsevier B.V. Efficient land use in agricultural systems is a complicated decision-making problem with resource competitions and conflicting objectives. Systematic thinking based on food-energy-water (FEW) nexus is a necessity for modeling and optimization of the systems. However, challenges arise in making decisions while encountering conflicting objectives, limited data and coupling components. To address these challenges, we developed a global optimization-based land allocation framework, which provides an adaptive data-driven modeling method based on limited realistic data to predict yields for production components, a FEW index to help solve the multi-objective optimization problem and carry out assessments. Computational results indicate that the framework can provide valuable production models and a comprehensive FEW index to select strategies for optimal land allocation and limit stresses in the FEW nexus.

author list (cited authors)

  • Nie, Y., Avraamidou, S., Li, J., Xiao, X., & Pistikopoulos, E. N.

citation count

  • 14

complete list of authors

  • Nie, Yaling||Avraamidou, Styliani||Li, Jie||Xiao, Xin||Pistikopoulos, Efstratios N

Book Title

  • 13th International Symposium on Process Systems Engineering (PSE 2018)

publication date

  • January 2018