||Stochastic Space-Time Models of the Rainfall-Runoff Process.
Kisie, C. C. ;
Duckstei, L. ;
Sander, J. L. ;
||Arizona Univ., Tucson. Dept. of Hydrology and Water Resources.
||Di-14-31-0001-3503; OWRR-A-032-ARIZ; 14922,; A-032-ARIZ(1)
( Surface water runoff ;
Stochastic processes) ;
( Flood forecasting ;
Mathematical models) ;
Stream flow ;
Probability distribution functions ;
Regression analysis ;
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
The problem of forecasting the flow (floods and flow volumes) is approached from two vantage points: (a) use of basic stochastic hypotheses about thunderstorm patterns in space and time coupled to a simple rainfall-runoff model for a small basin so as to obtain a theoretical probability distribution of flow volumes, (b) use of a simple linear regression model relating flood peak to concurrent rainfall in the Tucson area as a basis for a Bayesian decision theoretic study of the worth of secondary data sources (rainfall) to augment information in the primary data (flood peak). (Author)