Evaluation of rainfallrunoff performance using the stochastic integral equation method
Abstract
The stochastic integral equation method (S.I.E.M.) is used to evaluate the relative performance of a set of both calibrated and uncalibrated rainfallrunoff models with respect to prediction errors. The S.I.E.M. is also used to estimate confidence (prediction) interval values of a runoff criterion variable, given a prescribed rainfallrunoff model, and a similarity measure used to condition the storms that are utilized for model calibration purposes. Because of the increasing attention given to the issue of uncertainty in rainfallrunoff modeling estimates, the S.I.E.M. provides a promising tool for the hydrologist to consider in both research and design.
 Publication:

Stochastic Hydrology and Hydraulics
 Pub Date:
 September 1989
 DOI:
 10.1007/BF01543861
 Bibcode:
 1989SHH.....3..217H
 Keywords:

 Stochastic integral equation method;
 rainfallrunoff models;
 confidence interval