Prediction of both the volume and rate of runoff from a watershed from a rainfall event is vital for good design of hydraulic structures. There are a variety of methods for the estimation of surface runoff. The SCS curve number is one of the most popular and widely used methods of them. Another popular method for the estimation of runoff is the Green-Ampt method. This study involves the prediction of surface runoff with these two popular methods and the comparison of the predicted runoff with the observed runoff. The study also involves the estimation of subsurface runoff and the contribution of subsurface runoff in the total runoff of the watershed. Thus it is concluded that for the estimation of surface runoff Green-Ampt model is better than SCS curve number model. As the Green-Ampt model is physical based model, it gives close resemblance with observed runoff.
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Prediction of both the volume and rate of runoff from a watershed from a rainfall event is vital for good design of hydraulic structures. There are a variety of methods for the estimation of surface runoff. The SCS curve number is one of the most popular and widely used methods of them. Another popular method for the estimation of runoff is the Green-Ampt method. This study involves the prediction of surface runoff with these two popular methods and the comparison of the predicted runoff with the observed runoff. The study also involves the estimation of subsurface runoff and the contribution of subsurface runoff in the total runoff of the watershed. Thus it is concluded that for the estimation of surface runoff Green-Ampt model is better than SCS curve number model. As the Green-Ampt model is physical based model, it gives close resemblance with observed runoff.
She obtained her B.Tech (Agri. Engg.) from M. A. U., Parbhani (MS) and M.Tech in Soil and Water Conservation Engg from Mahatma Phule Krishi Vidyapeeth, Maharashtra, India. She has published several research papers in various journals.
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