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A rainfall-runoff simulation model for estimation of flood peaks for small drainage basins: a progress report

Authors: Dawdy, D. R. (David R.), 1926-, author; Lichty, Robert W., author; Bergmann, James M., author; U.S. Geological Survey, publisher;

A rainfall-runoff simulation model for estimation of flood peaks for small drainage basins: a progress report

Abstract

A parametric rainfall-runoff simulation model is used with point rainfall and daily potential evapotranspiration data to predict flood volume and peak rates of runoff for small drainage areas. The model is based on bulk-parameter approximations to the physical laws governing infiltration, soil moisture accretion and depletion, and surface streamflow. An objective fitting method is used for determining optimal best-fit sets of parameter values for the data available for use in predicting flood peaks for three case studies. Errors of prediction result from both errors of rainfall input and lack of model equivalence to the physical prototype. These two sources of error seem to be of the same order of magnitude for a model of the level of simplicity of that presented. Major gains in accuracy of simulation will require improvements in both data and model. The limit of accuracy of prediction of flood peaks by simulation with a bulk-parameter model using a single rain gage seems to be on the order of 25 percent.

Country
United States
Keywords

Simulation methods, Flood forecasting, Watersheds -- Mathematical models, 550, 310

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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