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Modification of Curve Number Adjustment Technique for Prediction of Runoff

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Pp. 287-290 in Soil Erosion Research for the 21st Century, Proc. Int. Symp. (3-5 January 2001, Honolulu, HI, USA). Eds. J.C. Ascough II and D.C. Flanagan. St. Joseph, MI: ASAE.701P0007  701P0007.(doi:10.13031/2013.13479)
Authors:   Samar J. Bhuyan, James K. Koelliker, Philip L. Barnes
Keywords:   Model prediction, Landsat TM image, AGNPS-ARC/INFO

Adjustment of curve numbers were done on the basis of estimated antecedent moisture content (AMC) ratios from measured runoff, precipitation, and average curve number (CN) of watershed to predict surface runoff quantity data. Sub-watersheds of Cheney Reservoir watershed, Kansas was considered for this study. The measured stream flow data were obtained from different USGS gauging stations, located in these subwatersheds and base flow for these data were separated using the USGS developed HYSEP2 model in order to obtain surface runoff amount that could be compared directly with Agricultural Nonpoint Source Pollution (AGNPS) model output during different storms events. The different model input parameters were extracted from land cover and other GIS layers using AGNPS-ARC/INFO modeling environment. The surface runoff depths during different storm events were predicted satisfactorily.

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