Water Control Data System Modernization: Huntington District, Corps of Engineers

by Coy W. Miller, P.E.,
Jerry W. Webb, P.E.,



Document Type: Proceeding Paper

Part of: Watershed Management and Operations Management 2000

Abstract:

The Water Control Data System (WCDS) provides the tools that are used in making daily operational decisions for 35 reservoir projects and 9 navigation structures in Huntington District. The Corps of Engineers (COE) has deployed preliminary versions of software developed under a water control modernization program to three district offices and one division office for testing and implementation. The Huntington District COE was selected as a district test site and Levisa Fork river basin was chosen as the geographic location within the district boundaries for the initial implementation and development of updated hydrologic and hydraulic models during FY 99. The Scioto and Olentangy river basins in the vicinity of Columbus,OH was selected as the second site for application during FY 2000. The modernization program includes a full-suite of software which uses an Oracle database and a Geographic Information System (GIS) for data acquisition and dissemination. The new software applies point rainfall or radar imagery to a digital terrain model to develop hydrologic runoff parameters and estimate peak discharges.Water surface profiles are computed throughout the basin using the routed discharges. Limits of anticipated flooding and estimated flood damages are also provided for use in making real-time operational decisions. Both of these basins contain local flood warning systems and flood control reservoirs. This presentation will present the current status of the various components of the modernization software as applied to both test basins. The accuracy of reservoir simulation results based on optional rainfall sources / assumptions and the inundation mapping requirements and capabilities will be specifically addressed.



Subject Headings: Control systems | Floods | Computer software | Basins | Hydrologic models | Reservoirs | Geographic information systems | United States

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