APPLICATION OF DERIVED PROBABILITY AND DYNAMIC-PROGRAMMING TECHNIQUESTO PLANNING REGIONAL STORMWATER MANAGEMENT-SYSTEMS

There exists a need on the part of land developers or municipalities r esponsible for stormwater servicing master planning to reduce the cost s associated with the initial construction of stormwater facilities as well as with their operation and maintenance. Common integral compone nts of stromwater control systems include stormwater management ponds for water quality control. These ponds may occupy valuable urban land and, hence, it is desirable to minimize the land coverage of these fac ilities while simultaneously satisfying water quality control objectiv es. The employment of optimization techniques in the planning and desi gn process can thus play an important rule by reducing the costs assoc iated with the implementation of such facilities. This paper presents an optimization methodology for single catchments using a single storm water quality control pond. ?his methodology is then further developed for a multiple parallel catchment (each with a single pond upstream o f its outlet) optimization procedure employing principles of dynamic p rogramming. The principal constraint of the problem formulation is to meet a specified pollution control level at the outfall to a receiving water body. The optimization technique employs analytical probabilist ic models for stormwater management planning and analysis which are in a mathematically closed form and thus easily integrated into an optim ization framework. The costs explicitly considered are land-associated costs and construction costs. Operation and maintenance costs can be incorporated into the framework if desired. (C) 1997 IAWQ. Published b y Elsevier Science Ltd.