Abstract
A simulation model was developed and applied to determine the irrigation scheduling in order to keep the watertable below a specified level. The regression models were used in the simulation to predict the weekly watertable under effective rainfall, predicted canal and tubewell supplies and selected cropping pattern. Weekly data of past ten years were used in the regression. Two regression models were developed for the Rabi and Kharif seasons separately. Thus, irrigation management alternatives were found to minimise waterlogging.

Saud Akbar, Mian Javaid Tariq, Amanat Ali Chaudhry. (1992) SIMULATION OF WATERTABLE LEVEL BY REGRESSION MODEL, , Volume 29, Issue 4.
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