ASABE Technical Library - Abstract

Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, view access and subscription options

Estimating Water Demand For Irrigation Using A Crop Simulation Model

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

Citation:  Paper number  022030,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9705) @2002
Authors:   Larry C. Guerra, Gerrit Hoogenboom, Vijendra K. Boken, James E. Hook, Daniel L. Thomas, Kerry A. Harrison
Keywords:   EPIC model, Maize yield, Cotton yield, Peanut yield, Soybean yield, Irrigation

Crop yield and water demand for irrigation under rainfed and irrigated conditions for four major crops in Georgia were estimated using the Environmental Policy Integrated Climate (EPIC) model. Seasonal yield and irrigation data during 1990-2001 for Tifton, Plains and Midville in the Coastal Plain region, Griffin and Athens in the Piedmont region, and Calhoun in North Georgia were used for evaluating simulated yield and irrigation. Under rainfed conditions, the model performs fairly well for different crops, weather and soil conditions across Georgia. In general, the model tends to overpredict for low yielding conditions and underpredict for high yielding conditions. Under irrigated conditions, the model overpredicted to a greater extent for low yielding conditions and underpredicted to a greater extent for high yielding conditions. Only for cotton, the model simulated the year-to -year variability in measured irrigation fairly well.

(Download PDF)    (Export to EndNotes)