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Empirical functions for dependent furrow irrigation variables. 1. Methodology and equations

Abstract:

A complete set of dependent furrow irrigation variables has been identified, for which empirical functions, of general applicability, have been developed. A one-dimensional sensitivity analysis technique coupled with dimensional analysis was employed to reduce the number of independent irrigation variables to a manageable size. Simulation experiments were carried out to generate the data used in developing the pertinent functional relationships. Regression analysis was used to ascertain the specific form of the equations. The pbkp_redictive quality of the functions has been assessed by comparing their output with those of a zero-inertia model, and was found to be satisfactory.