contributor author | Bing Zhao | |
contributor author | Yeou-Koung Tung | |
contributor author | Keh-Chia Yeh | |
contributor author | Jinn-Chuang Yang | |
date accessioned | 2017-05-08T20:42:23Z | |
date available | 2017-05-08T20:42:23Z | |
date copyright | August 1995 | |
date issued | 1995 | |
identifier other | %28asce%290733-9429%281995%29121%3A8%28618%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/24182 | |
description abstract | In hydraulic and hydrologic studies, engineers develop new models or calibrate existing models by various techniques. One is often concerned with the model validity regarding its ability to predict future events. Five potentially useful statistical validation methods are presented. For illustration, they were applied to examine the predictability of unit hydrographs derived by various methods in the framework of the least squares and its variations. It was found that storm-stacking (conventional multistorm analysis) together with storm-scaling yields the most desirable UH. The general framework of these validation methods can also be applied to a validation study of other hydrologic and hydraulic models. | |
publisher | American Society of Civil Engineers | |
title | Statistical Validation Methods: Application to Unit Hydrographs | |
type | Journal Paper | |
journal volume | 121 | |
journal issue | 8 | |
journal title | Journal of Hydraulic Engineering | |
identifier doi | 10.1061/(ASCE)0733-9429(1995)121:8(618) | |
tree | Journal of Hydraulic Engineering:;1995:;Volume ( 121 ):;issue: 008 | |
contenttype | Fulltext | |