Semester

Summer

Date of Graduation

2001

Document Type

Thesis

Degree Type

MS

College

Statler College of Engineering and Mineral Resources

Department

Civil and Environmental Engineering

Committee Chair

Robert Eli.

Abstract

The U.S. Department of Agriculture (USDA) Soil Conservation Service Curve Number (SCS CN) method is a simple and widely popular technique of estimation of direct runoff volume for design and natural rainfall events in small watersheds. The SCS CN procedure is incorporated into such computer programs as TR-20 and TR-55. Although the method reliably predicts 24-hr runoff volume, the predicted distribution of runoff during a storm event is not realistic. This shortcoming of the SCS CN method is due to weakness in the infiltration concept of the method. Use of a physically realistic and distributed Green-Ampt infiltration model can significantly improve the SCS CN method.;The purposes of the present investigation were to incorporate the Green-Ampt infiltration model into the SCS CN method and to explore its advantages over the Curve Number infiltration model. As a result, a procedure of evaluating the Green-Ampt parameters from the SCS Curve Numbers for various soil texture classes was developed. The comparison of peak discharge estimation by both models for various rainfall depths and time of concentrations showed a divergence in predictions of up to 77 percent for low runoff potential soils.

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