Validation Studies on Indexed Sequential Modeling for the Colorado River Basin

by John W. Labadie, Colo. State Univ, Ft. Collins, United States,
Darrell G. Fontane, Colo. State Univ, Ft. Collins, United States,
Jose D. Salas, Colo. State Univ, Ft. Collins, United States,
Taha Ouarda, Colo. State Univ, Ft. Collins, United States,



Document Type: Proceeding Paper

Part of: Waterpower '91: A New View of Hydro Resources

Abstract:

A method called indexed sequential modeling (ISM) has been developed by the Western Area Power Administration to estimate reliable levels of project dependable power capacity (PDC) and applied to several federal hydro systems in the Western U.S. The validity of ISM in relation to more commonly accepted stochastic modeling approaches is analyzed by applying it to the Colorado River Basin using the Colorado River Simulation System (CRSS) developed by the U.S. Bureau of Reclamation. Performance of ISM is compared with results from input of stochastically generated data using the LAST Applied Stochastic Techniques Package. Results indicate that output generated from ISM synthetically generated sequences display an acceptable correspondence with results obtained from final convergent stochastically generated hydrology for the Colorado River Basin.

Subject Headings: Stochastic processes | Rivers and streams | Hydrologic models | Computer models | Basins | Hydro power | Hydrology | Colorado River

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