Abstract
This paper presents a model that identifies cost-optimal water reuse scenarios. The model utilizes a linear programming algorithm within a Geographic Information System (GIS). Specifically, the model integrates database operations and optimization methods with the visualization benefits and geographic analysis offered by maps. The model determines the feasible reuse opportunities based on water quality and finds the optimal material exchange scenario based on product purchase, treatment, and transportation costs. The results are displayed on a map of the region along with accompanying data tables. The use of the model is illustrated by identifying cost and water savings associated with reuse in the Bayport Industrial Complex in Pasadena, Texas. This model has applicability to water reclamation project planning as well as water management in water-poor regions. Additionally, with minor modifications, the water reuse model presented here may be used to quantitatively analyse the use and reuse of other materials. Thus, this model provides a quantitative tool to promote more efficient system-based material cycles.
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