Mathematical models for groundwater and surface-water systems are formulated and solved on a digital computer using linear programming for optimizing the water use of the system. Post-optimal analysis, including sensitivity analysis of the objective function coefficients and right-hand side terms, is also applied to the models. The models which are developed include a general deterministic model, a general stochastic model in which hydrologic inputs are allowed to be probabilistic, and models of two simple, but real, river basins. The advantages of linear programming analysis are demonstrated by the computer solutions which can be obtained by this method of optimization. The method is shown to be effective as a guide to optimal water resources systems design and planning.
Milligan, James H. and Clyde, Calvin G., "Optimizing Conjunctive Use of Groundwater and Surface Water" (1970). Reports. Paper 199.