An integrated optimization model is developed for planning irrigation
systems. In this work, surface reservoir capacity, ground-water and sp
ring withdrawal, delivery system capacities (including canals, pumping
stations, and tunnels), hectares of land to be developed for irrigati
on, and cropping pattern are considered as interacting parts of the sy
stem. Moreover, the effect of the costs due to drainage, land leveling
, and irrigation network construction are also considered. The model i
s capable of integrating other decision variables. The system is optim
ized by means of a chance-constraint optimization model. The model use
s mixed integer linear programming to maximize the net benefit associa
ted with the development. To linearize a collection of interrelated no
nlinear cost functions, a new generalized technique is developed. Rega
rding the linearization of nonlinear cost functions, the technique red
uces the size of the models and excludes any possible infeasibility th
at may occur in the models. Results generated by the application of th
e model, along with the sensitivity analysis, provide a tool to select
the optimum design considering the varieties of criteria involved.