A Decision Support System for Assisting Operation of Artificial Recharge Systems

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by Muzaffar Eusuff,
Maili Wang,
Kevin Lansey,

Document Type: Proceeding Paper

Part of: WRPMD'99: Preparing for the 21st Century

Abstract: A series of simulation and optimization models analyzing artificial recharge systems have been linked within a decision support system (DSS) with a graphical interface. The model includes components for using MODFLOW to model the groundwater responses to recharge via spreading. In addition, two optimization packages have been developed and included in the DSS. The first considers steady state operations and is intended for the design of the system including recharge potential and required extractions to maintain water levels within an acceptable range. The Girinski potential is applied for aquifers approximated by a uniform thickness or a linear responding system is assumed. The second model considers transient conditions and is to be used for an existing system for improving operation decisions in conjunction with simulation. A genetic algorithm is used to optimize the operations. The three main modules along with routines for intermediate steps such as response function computation are combined in a Visual Basic shell. The shell allows users to push and go to the various routines and to modify input to the simulation and optimization programs. The DSS has been applied to the Granite Reef Underground Storage Project in eastern Maricopa County, AZ.

Subject Headings: Artificial recharge | Decision support systems | Optimization models | Hydrologic models | System analysis | Underground storage | Simulation models | Model analysis | Arizona | North America | United States

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