A Chance‐Constrained Approach to the Conjunctive Use of Surface Waters and Groundwaters

Abstract

A set of chance‐constrained linear programing models for the conjunctive use of surface waters and groundwaters was developed for the Mullica River basin in New Jersey. A zero order decision rule was used to obtain deterministic equivalents for the chance‐constrained models. The resulting linear programing models were solved for a variety of constraint situations. The results indicated the maximum total withdrawals that could be expected from the basin for the assumed conjunctive use operation. The satisfaction of specified target outputs for the basin by alternative feasible combinations of surface water and groundwater withdrawals was also demonstrated.