Optimal Parameter Estimation and Investigation of Objective Functions of Urban Runoff Models
Author | : Ji Han |
Publisher | : |
Total Pages | : 174 |
Release | : 1980 |
Genre | : Electronic digital processing |
ISBN | : |
Download Optimal Parameter Estimation And Investigation Of Objective Functions Of Urban Runoff Models full books in PDF, epub, and Kindle. Read online free Optimal Parameter Estimation And Investigation Of Objective Functions Of Urban Runoff Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Ji Han |
Publisher | : |
Total Pages | : 174 |
Release | : 1980 |
Genre | : Electronic digital processing |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 1370 |
Release | : 1981 |
Genre | : Aeronautics |
ISBN | : |
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author | : International Association for Hydraulic Research. Congress |
Publisher | : |
Total Pages | : 404 |
Release | : 1987 |
Genre | : Hydraulics |
ISBN | : |
Author | : David T. Ford |
Publisher | : |
Total Pages | : 20 |
Release | : 1980 |
Genre | : Flood forecasting |
ISBN | : |
Computer program HEC-1, a precipitation-runoff model widely used throughout the United States, includes the capability to estimate automatically any of twelve parameters necessary to model the precipitation-runoff process and the channel routing process. The parameter estimation scheme employs Newton's method to minimize a weighted sum of squares of differences between observed and computed hydrograph values. Applications of this parameter estimation procedure are presneted, and typical steps of the procedure for deterimining optimal parameter estimates are outlined. Recent efforts to improve the estimation algorithm and recent use of the calibration capability to update sequentially parameter estimates in a flood forecasting application are discussed. (Author).