Derivation And Assessment Of A Bivariate Idf Relationship Using Paired Rainfall Intensity-duration Data

摘要

A procedure is presented for developing a rainfall intensity-duration-frequency (IDF) relationship that is consistent with bivariate normal distribution modeling. The Box-Cox transformation was used to derive the relation and two methods of determining the parameters of this transformation were evaluated. To assess the uncertainty of the parameters, a confidence interval was constructed and verified with the non-parametric bootstrap method. Additionally, the effect of sample size on the bivariate normality assumption was examined. Case studies, based on data from significant gauge stations in Korea, were performed. The result shows that the use of the bivariate normal model as an IDF relationship is particularly recommended when the available data size is small.