Estimation of frequency based flood peaks for an ungauged watershed using field calibration : final report.
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1997-06-01
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Alternative Title:Estimation of frequency based flood peaks for an ungauged watershed using field calibration.
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Abstract:The present study has been conducted to evaluate eight flood prediction models for an ungauged small watershed. These models are either frequently used by or were developed by Louisiana Department of Transportation and Development (LADOTD). The eight models were applied to calculate flood frequency for the watershed on Ward Creek at Government Street in Baton Rouge. By comparing the results of the models with the flood peaks derived using the systematic flood records observed at the Ward Creek gauge station and by following the U.S. Water Resources Council (WRC) procedure, it was found that four of the eight models have better accuracy than the others. These four models are the U.S. Geological Survey (USGS) seven-parameter model, the USGS three-parameter model, the Lowe model and the Neely model. The U.S. Soil Conservation Service (SCS) model is widely used for flood prediction for small urban watersheds, but the accuracy of the model for the Ward Creek watershed is relatively low. This study shows that the accuracy of the SCS model can be significantly improved with the parameters calibrated using short-term field data. A procedure of parameter calibration using one- to two-year field data was developed in this study. The procedure may be used for more accurate flood prediction for watersheds with short-term stream gauging data or watersheds with long-term stream gauging data that have undergone significant hydrological changes.
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