Application of Multigoal Water Quality Planning Model

Abstract

Least-cost water treatment systems for the West Fork White River in Indiana are calculated for several alternative water quality goals using a nonlinear programming model. The effect of the different goals on the annual total cost of the system is examined. Special attention is focused on the possibility of relaxing the quality goals downstream from major effluent sources in exchange for increased quality upstream from these sources. The role of the planning model as an information source for decision-making is examined. An appendix includes a summary of the nonlinear algorithm used and, in particular, the methods used to handle large-scale problems.