EGU23-627
https://doi.org/10.5194/egusphere-egu23-627
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development of Rainfall Runoff model using MIKE NAM for the flood prone basin of India

Ayushi Panchal1 and Sanjaykumar Yadav2
Ayushi Panchal and Sanjaykumar Yadav
  • 1Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India (ayushipanchal44@gmail.com)
  • 2Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, India (smy@ced.svnit.ac.in)

Rainfall-runoff modelling is significantly carried out in order to evaluate the response of different combinations of hydrometeorological and physical characteristics of the basin. The hydrological models are developed for simulating the rainfall-runoff process. The hydrologic models are the conceptual, physical, experimental as well as artificial intelligence models. MIKE NAM model gives the conceptual rainfall-runoff model with the inputs such as rainfall, evaporation as well as the observed discharge. Various basin parameters such as interflow contribution, part of precipitation which contributes the runoff, overland flow, lower bound and upper bound limits of inflow and outflow hydrographs, interflow, baseflow, constant for time to route the base flow along with the thresholds for recharge and overland flow are being considered in MIKE NAM model. The provision to consider the parameters such as field capacity as well as wilting point is given in the NAM model. In the present study rainfall-runoff simulation has been carried out to evaluate the performance of MIKE NAM conceptual model. A sub-basin of Indian peninsular river Tapi has been chosen for carrying out the simulation. The daily data of rainfall, evaporation and river discharge for the period of 10 years has been given to the model in order to simulate the runoff. The model has been calibrated and validated by the observed data. The reliability of the developed model has been evaluated based on the statistical performance measures such as coefficient of correlation, root mean square error, Mean Absolute Error along with Nash Sutcliff Efficiency (NSE). Based on the performance of statistical parameters it can be concluded that MIKE 11 NAM model can be used effectively to simulate the runoff. The good agreement has been shown between simulated and observed river discharge and is proven to be enough accurate to predict the discharge. The threshold value of rainfall which results in to basin flooding has been computed from the present analysis for key rain gauges of the basin. The developed model can be used for forecasting future basin floods.

How to cite: Panchal, A. and Yadav, S.: Development of Rainfall Runoff model using MIKE NAM for the flood prone basin of India, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-627, https://doi.org/10.5194/egusphere-egu23-627, 2023.

Supplementary materials

Supplementary material file