APPLICATION OF GLUE METHOD ASSESSING THE UNCERTAINTY OF RAINFALL - RUNOFF DATA FOR SURR MODEL IN SIMULATING FLOW OF LO RIVER

Abstract

In the use of rain-flow models, there are always certain errors due to subjective as well as objective reasons.Therefore, it is important to evaluate the uncertainty of the set of model parameters and the model input data. The study will introduce the uncertainty estimation GLUE to evaluate the SURR flow model parameters and rainfall input data in the simulation of the basin area between the Lo River. The purpose of the report is to find the appropriate set of parameters for simulation of flow in the basin of the Lo River. Uncertainty assessment results in increased accuracy of flow forecasting.