A Review on Rainfall-Runoff Modelling using Mike 11 NAM Model, ANN and SCS-CN Methods

Hydrological models are the simplified, conceptual and mathematical description of rainfall, runoff, oceans, rivers, groundwater, snow etc. Rainfall-runoff modeling in the broader sense a hydrological, mathematical model gives a detailed account of Rainfall-Runoff relationships of a catchment area or watershed. Conversion of rainfall into runoff takes place in the modelling. There are many methods developed for calculating the runoff. Among them the models or methods which are explained in the current study are MIKE 11 NAM Model, Soil Conservation Service Curve Number (SCS-CN) Method and Artificial Neural Network (ANN) Method. In NAM model, 9 parameters are used and adjusted for calculating the runoff. Temperature, rainfall, evapotranspiration are mainly needed. In SCS method soil information, rainfall, storm duration, soil texture, type & amount of vegetation cover and conservation practices are considered. In ANN method, a dimension is added to the modelling. The three models are explained and compared in the present study.