Estimation of Surface Runoff using SWAT Model
V. S. Malunjkar1, M. G. Shinde2, S. S. Ghotekar3, A. A. Atre4
1Er. V. S. Malunjkar, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
2Dr. M. G. Shinde, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
3Er. S. S. Ghotekar, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
4Dr. A. A. Atre, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
Manuscript received on March 01, 2015. | Revised Manuscript Received on March 09, 2015. | Manuscript published on March 20, 2015. | PP: 12-15 | Volume-3 Issue-4, March 2015 | Retrieval Number: D0600033415/2015©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Runoff is a very important phenomenon of hydrological cycle and it is relevant for the watershed management programme for conservation and development or natural resources and its management. However, In India the availability of accurate information on runoff is scarce. Soil and Water Assessment Tool (SWAT) is a physically based distributed parameter model which has been developed to predict runoff, erosion, sediment and nutrient transport from agricultural watersheds under different management practices. For the present study, a small agricultural watershed has been selected for runoff assessment. Geoinformatic techniques such as ERDAS software and Shuttle Radar Topographic Mission (SRTM) data are used for execution of the model. Calibration of the model is done with the help of observed data and then it is validated on selected study area. For calibration and validation, daily observed runoff data of 1997 and 1998 were used. It is found from the results that, Nash and Sutcliffe efficiency was 0.62 and 0.74 respectively and coefficient of determination was 0.98 and 0.95 respectively for calibration and validation period.
Keywords: Hydrological modeling, Runoff, Nash and Sutcliffe efficiency and SWAT.