The effects of alternative automatic calibration techniques on parameter estimation for HEC-1
AuthorWalker, Mark(Mark Joseph)
Committee ChairSorooshian, Soroosh
MetadataShow full item record
PublisherThe University of Arizona.
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
AbstractFour automatic calibration techniques were used to estimate parameters in the U.S. Army Corps of Engineers HEC rainfall-runoff simulation HEC-1. The techniques were tested with three strategies in synthetic data studies and verification studies with a small, semi-arid watershed. The automatic calibrations employed two versions of Newton-Raphson optimization algorithms and weighted least squares (WLS) and maximum-likelihood based estimation criteria. Strategies were determined by the U.S. Army Corps of Engineers (the HEC strategy), and designed to avoid parameter interaction (Methods A and B). Overall, automatic calibration using a multivariate Newton-Raphson optimization based on explicit derivatives and the HMLE with Method B performed best in the synthetic data study in terms of parameter recovery. Verification studies suggest the model may need a soil moisture accounting mechanism to make application to the small, semi-arid watershed under study practical.
Degree ProgramHydrology and Water Resources