Stochastic Analysis in Rainfall-Runoff Modelling

• Main Authors: Yuan-Peng Lin, 林元鵬
• Other Authors: Gwo-Fong Lin;Chao-Lin Chiu
• Format: Others
• Language: zh-TW
• Published: 1993
• Online Access: http://ndltd.ncl.edu.tw/handle/11388016613307399550

碩士 === 國立臺灣大學 === 土木工程研究所 === 81 === Rainfall-runoff models are essential for the management of watersheds. However,the uncertainties of the hydrlogic phenomena and the modelling process result in inevitable modelling errors which seriously influence the consequent applications. In this study , a simple and dircet methodlogy for uncertainty analysis is developed to estimate the uncertainty of the rainfall-runoff model by means of establishing the stochastic integral equations of model prediction errors . Furthermore , the probabilistic distributions of some criterion variables which are important to hydrologic designs are estimated by using Monte Carlo simulation and Bootstrap Resampling method.