Multivariate Modeling of Flood Flows

Abstract

A systematic methodology for multivariate modeling of flood flows based on the partial duration series approach and bivariate normal distribution has been developed. The methodology provides univariate and bivariate modeling of flood characteristics and offers various possibilities of probability interpretation, which is not possible by conventional flood frequency methods. The two-step power transformation method has been used for normalization of the variables, required for the application of bivariate normal distribution. The application and validation of the methodology have been made by using daily flows of the Narmada River in Garudeshwar (India) and synthetically generated data.