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Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur

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Subject: Soil and Water Engineering × Author: Aherwar, Pushplata × End date: 2020 × Type: Thesis × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Comparison of rainfall runoff models in shipra river catchment of madhya pradesh
    (JNKVV, 2016) Aherwar, Pushplata; Mishra, K.L.
    ABSTRACT Rainfall Runoff computation of any basin plays an important role for any Agricultural engineering project. In most of the locations the rainfall data is available but the discharge data is not available or is available in gaps. The uncertainty of data is a problem for the hydrologists as proper planning and management techniques cannot be applied. Hence, engineers and hydrologists from all over the world have bend more towards the computer software for the estimation of runoff in any catchment. In the present study, Shipra basin, India is chosen for rainfall runoff modeling. The daily rainfall data, guage-discharge data and meteorological data of Shipra river basin were used to perform Rainfall-Runoff modeling. Here we have developed two conceptual models viz. the SCS-CN model and NAM model to study the hydrological behavior of the river. Rainfall runoff estimation is carried out using observed discharge at Ujjain site by the models. The NAM model shows relation between rainfall and runoff. Here daily precipitation, daily potential evapotranspiration and daily runoff time series is used for the computations. In this study 11 years data is used for runoff simulation i.e. from 1996 to 2006. The sensitivity analysis was carried out on all the parameters so as to find the more sensitive parameters. Then with the fixed parameters, simulation is again carried out to get the best match between observed and simulated runoff. Calibration was carried out from 1996 to 2001 and validation was done for the years 2002 to 2006. After successful calibration and validation, the model was run for the extended time period from 1996 to 2006 for the simulation of runoff. The two models were evaluated on the basis of coefficient of determination (R2), coefficient of correlation (r), Nash-Sutcliffe Efficiency criteria and Root Mean Square Error. The estimated or simulated values were compared with the observed data which showed good consistency. The SCS-CN model showed Nash-Sutcliffe efficiency is 72%and 53%, coefficient of determination R2 values 0.616 and 0.44, coefficient of correlation is 0.78 and 0.66 and Root Mean Square Error is 83.09 and 130.06 from the period of 1996 to 2001 and 2002 to 2006 respectively which were satisfactorily close to the observed values. The NAM model showed Nash-Sutcliffe efficiency is 76% and 85%, coefficient of determination R2 value is 0.72 and 0.502, coefficient of correlation is 0.76 and 0.84 and Root Mean Square Error is 68.26 and 64.4 from the period of 1996 to 2001 and 2002 to 2006 respectively which were found closer to the observed values in comparison to the SCS-CN model. The full extended time series of runoff is also generated from 1996 to 2006 in the NAM model. The comparative study of the two models indicates that the NAM model is more superior to the SCS-CN model and is suitable for the hydrological study of the Shipra basin.