Related Experiment Video
Updated: Sep 30, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Planning regional-scale water-energy-food nexus system management under uncertainty: An inexact fractional
Kai Huang1, Liming Dai1, Lei Yu2
1Faculty of Engineering and Applied Science, University of Regina, Regina S4S0A2, SK, Canada.
Abstract:
In this study, an inexact fractional programming method is employed for planning the regional-scale water-energy-food nexus (WEFN) system. The IFP cannot only deal with uncertainties expressed as interval parameters, but also handle conflicts among multiple decision stakeholders. The IFP approach is then applied to planning the WEFN system of Henan Province, China. An IFP-WEFN model has been established under consideration of various restrictions related to water and energy availability, as well as food demand. Solutions of the planting areas for different crops in different periods have been generated. The results suggested that there would be a significant increase for vegetable cultivation with an increasing rate of 24.4% and 30% respectively for the conservative and advantageous conditions, followed by the fruit cultivation. In comparison, the planting area of cotton would be decreased with a decreasing rate of 21.2%, and there would also be an explicit decrease for rice cultivation. These results can help generate a desired planting scheme in order to achieve a maximized unit benefit with respect to the water utilization. Comparison between the IFP-WEFN model and the ILP-WEFN model indicates that, even though a slightly lower benefit is obtained from IFP-WENF model, it can result in a higher unit benefit than the planting scheme from ILP-WEFN model. Consequently, the IFP-WEFN model can help decision-makers identify the sustainable agricultural water resources management schemes with a priority of water utilization efficiency.
More Related Videos
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Estimation of the Physical Quantities
Propagation of Uncertainty from Random Error
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Fast Decoupled and DC Powerflow
Uncertainty: Overview

