Surface Irrigation Optimization Models

Abstract

This paper presents furrow and border irrigation design optimization models for corn. The models, which have nonlinear objective functions and constraints, are linearized to take advantage of existing linear programming codes that perform sensitivity analysis and can be run in microcomputers. The models give the optimal values of the design variables (inflow discharge, length of the run, time of irrigation cutoff, and width of border for border irrigation). Field data are used to obtain solutions to the models. Results indicate that time of irrigation cutoff is the most critical design variable. Water supply and time available for irrigation are important factors to be considered in the design process.