Development of Prediction Relationships for Water Requirements with Irrigation Cooling

Authors

Billy J. Barfield, University of Kentucky
John N. Walker, University of Kentucky
F. A. Payne, University of Kentucky

Abstract

A model for predicting leaf temperatures during an off-on mist cycle is presented. The model uses a combination of energy budget and aerodynamic techniques. The model was tested for dry leaf temperature and evapotranspiration predictions using average hourly data from Arizona. The accuracy was good. It was also tested for dry leaf temperature predictions using two to three minute data with a widely varying net radiation. When reasonable values of stomatal resistance were used, the agreement was again good.

The model was tested for prediction of wet leaf temperature prediction with a ten minute on, fifty minute off mist irrigation cycle. The agreement was fair when using reasonable input parameters. The poorest predictions were during the mist on cycle.

Publication Date

2-1974

Report Number

70

Digital Object Identifier (DOI)

https://doi.org/10.13023/kwrri.rr.70

Funding Information

The work on which this report is based was supported in part by funds provided by the Office of Water resources Research, United States Department of the Interior, as authorized under the Water Resources Research Act of 1964.

Repository Citation

Barfield, Billy J.; Walker, John N.; and Payne, F. A., "Development of Prediction Relationships for Water Requirements with Irrigation Cooling" (1974). KWRRI Research Reports. 125.
https://uknowledge.uky.edu/kwrri_reports/125