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Vol. 7, Issue 12 (2018)

Rainfall runoff simulation by using SCS-CN model in Shipra river basin of Madhya Pradesh, India

Author(s):
Aherwar P and Aherwar H
Abstract:
Rainfall Runoff computation of any basin plays an important role in water resources planning and management. Here we have developed conceptual models the SCS-CN model to study the hydrological behavior of the river. The models were evaluated on the basis of coefficient of determination (R2), coefficient of correlation (r), Nash-Sutcliffe Efficiency 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%, coefficient of determination R2 values 0.616, coefficient of correlation is 0.78 and Root Mean Square Error is 83.09 which were satisfactorily close to the observed values. The study of the model indicates that the SCS-CN model is suitable for the hydrological study of the Shipra river basin of Madhya Pradesh in India.
Pages: 385-390  |  616 Views  178 Downloads


The Pharma Innovation Journal
How to cite this article:
Aherwar P, Aherwar H. Rainfall runoff simulation by using SCS-CN model in Shipra river basin of Madhya Pradesh, India. Pharma Innovation 2018;7(12):385-390.

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