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INDEXED SEQUENTIAL HYDROLOGIC MODELING FOR HYDROPOWER CAPACITY ESTIMATION

Authors :
Darrell G. Fontane
Taha B. M. J. Ouarda
John W. Labadie
Source :
Journal of the American Water Resources Association. 33:1337-1349
Publication Year :
1997
Publisher :
Wiley, 1997.

Abstract

The indexed sequential hydrologic modeling (ISM) methodology is utilized by the Western Area Power Administration as the basis for risk‐based estimation of project‐dependable hydropower capacity for several federally owned/operated projects. ISM is a technique based on synthetic generation of a series of overlapping short‐term inflow sequences obtained directly from the historical record. The validity of ISM is assessed through application to the complex multireservoir hydropower system of the Colorado River basin for providing risk estimates associated with determination of reliable hydrogeneration capacity. Performance of ISM is compared with results from stochastically generated streamflow input data to the Colorado River Simulation System (CRSS). Statistical analysis and comparison of results are based on monthly power capacity, energy generation, and downstream water deliveries. Results indicate that outputs generated from ISM synthetically generated sequences display an acceptable correspondence with those obtained from stochastically generated hydrologic data for the Colorado River Basin.

Details

ISSN :
17521688 and 1093474X
Volume :
33
Database :
OpenAIRE
Journal :
Journal of the American Water Resources Association
Accession number :
edsair.doi...........eceb08d297875836f13bf140c4a8879d
Full Text :
https://doi.org/10.1111/j.1752-1688.1997.tb03557.x