Validation of SCS CN Method for Runoff Estimation with Field Observed Regression Analysis Results in Venna Basin, Central India.

Thursday, 18 December 2014
Yashwant Bhaskar Katpatal1, Sarang Vasant Paranjpe2 and Mahendra Kadu2, (1)Visvesvaraya National Institute of Technology, Department of Civil Engineering, Nagpur, India, (2)R College of Engineering and Management, Department of Civil Engineering, Nagpur, India
Effective Watershed management requires authentic data of surface runoff potential for which several methods and models are in use. Generally, non availability of field data calls for techniques based on remote observations. Soil Conservation Services Curve Number (SCS CN) method is an important method which utilizes information generated from remote sensing for estimation of runoff. Several attempts have been made to validate the runoff values generated from SCS CN method by comparing the results obtained from other methods. In the present study, runoff estimation through SCS CN method has been performed using IRS LISS IV data for the Venna Basin situated in the Central India. The field data was available for Venna Basin. The Land use/land cover and soil layers have been generated for the entire watershed using the satellite data and Geographic Information System (GIS). The Venna basin have been divided into intercepted catchment and free catchment. Run off values have been estimated using field data through regression analysis. The runoff values estimated using SCS CN method have been compared with yield values generated using data collected from the tank gauge stations and data from the discharge stations. The correlation helps in validation of the results obtained from the SCS CN method and its applicability in Indian conditions.

Key Words: SCS CN Method, Regression Analysis, Land Use / Land cover, Runoff, Remote Sensing, GIS.