Dynamic Programming Methodology for Prioritizing Sewerage Projects

Abstract

A simple yet effective approach is developed on the basis of dynamic programming (DP) as a means of objectively selecting and prioritizing sewerage projects within available funds and system capacity. The methodology consists of two DP models: a collection system model with an embedded benefit assessment technique to identify areas for wastewater collection; and a transportation system model to select routes of wastewater conveyance. Unlike conventional benefit analysis, benefits in this approach are defined as changes in adverse environmental, public health, and other noneconomic consequences as a result of sewerage provisions. The approach is a useful decision tool for planning sewerage system expansion. The models are used to identify “best” sewerage expansion plans for Ensenada, Baja California, Mexico. Sixteen potential areas for sewerage expansion and three existing plants with additional wastewater treatment capacity are considered.