Research Rainfall runoff modeling using MIKE 11 NAM of Jhelum river of Kashmir Valley, India

Abstract

This research examines the performance, efficiency, and applicability of the NAM (Nedbor Afstromnings Model) in the Ram Munshi Bagh Catchment in Srinagar, India. NAM is a rainfall-runoff model that is deterministic, lumped, and conceptual. The model was evaluated for the year 2006-2013 for the Ram Munshi Bagh Catchment (Jhelum river) in terms of reproducing the basin's hydrological response to rainfall and accurately predicting daily runoff. The model was calibrated for the years 2006-2009 and validated for the year 2010-2013. The maximum discharge during the simulation period was found to be 746.745 m³/s. The Nash-Sutcliffe Efficiency (NSE) was 0.907, the Coefficient of Determination (R²) was 0.954, and the volume difference (D_v percent) was 17.8 for the calibration period, using MIKE 11 statistical analysis. For validation year of 2010-2013, the obtained N_SE was 0.963, the R² obtained was 0.892 and Dv (%) obtained was 13. The applicability of the model for runoff prediction for Jhelum river was demonstrated, which may be applied to basin-scale integrated water resource management and production. As a result, the model can be successfully utilized for hydrological simulations in temperate catchments in order to plan and manage water resources effectively.