Model parameter sensitivity analysis in hydrological modelling and application for the rainfall-runoff model Nam in the Ve river basin

Abstract

Hydrological models have been developed and widely applied in many studies or projects corresponding to the evaluation and prediction of river flows, water quality, and water resources management, etc. Sensitivity analysis aims to identify the key parameters that affect model performance and it plays a crucial role in applying hydrological models in general, especially for rainfall-runoff models. However, the increasing complexity of hydrological models means that a large number of parameters need to be estimated. To better understand the complex models in relation to model calibration and validation, sensitivity analysis methods need to be utilized first aiming to plan a good strategy for the model parameters optimization process based on specific models, river basins, and
available data. This paper presents two methods of parameter sensitivity analysis for the lumped model MIKE11 NAM and applies them in the Ve river basin as a case study