Hydrologic Modelling of Mahanadi River Using Rainfall-Runoff Method

Abstract

Hydrological modeling is a real-world system which implies the simplification that leads for better understanding, managing and prediction of water resource system. These hydrological models are used to estimate the rainfall–runoff behaviors. This study shows the results of rainfall forecasts obtained with mathematical analysis techniques, using past rainfall data for thirty years. This study describes the hydrological model of the largest river of Odisha i.e. the Mahanadi. Hydrological models are formulated using thirty years of rainfall data. Analytical models are developed to analyzing and forecasting the behavior of the river during rain periods throughout every season of the year. For rainfall prediction linear regression analysis is done which gives the forecasting data of next seven years. The discharge or the estimated runoff is calculated using Mockus model which is the empirical formula of SCS method by taking some river stations of the Mahanadi. In this thesis, flood forecasting models based on linear regression have been evaluated along with other performances using analytical model using MS Excel has been analyzed for a channel reach of the Mahanadi River in Odisha.