Department of Soil and Water Engineering, Punjab Agricultural University, Ludhiana, Punjab, India
*Corresponding author: sunil1765@rediffmail.com
Online published on 9 January, 2015.
Nonlinear optimization design models were developed for field conditions to design and manage border irrigation system using Lewis-Kostiakov infiltration equation. The design criterion used in the models was the depth of irrigation and basic infiltration rate of the soil. The objective function of the nonlinear model was constructed on the basis of a relationship between net returns and water application efficiency. The design variables of the models were the inflow rate, length of run, cutoff time, number of borders per set and number of sets. The nonlinear model gives a better representation of the design parameters and is more flexible because it permits easy changes in the objective function.
The non linear model developed can be used to compare different types of border irrigation management strategies.
Optimization technique can be used as a tool for the design and management of border irrigation system.
The optimal design of border irrigation can be used to increase farm income by optimizing design variables.
The model gives the optimal values of design variables.
Border, non linear, optimization, net returns
