Industrial wastewater management facilities are rarely "steady-state" in nature. Storage facilities are often pieced together from a network of ponds or tanks from which process water may be recycled, discharges to the onsite treatment plant or POTW are often intermittent, and pollutant
loadings can vary. This complexity can make a system difficult to model. However, simple numerical methods can be employed using standard spreadsheet software to cost effectively model even very complicated systems. These models can be used to evaluate steady and nonsteady state conditions
and the impact of process and treatment system design changes. Predictions made using these models can result in better and more cost-effective decisions regarding industrial waste treatment and disposal. This paper describes the general methods used to develop the models and two different
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