Evaporation and wind drift losses during sprinkler irrigation may reach significant values, cutting system efficiency down. The present work aims: (a) to evaluate the ability of five empirical models in predicting losses of a NY-7 model sprinkler (nozzle of 4.6 mm x 4.0 mm), working under different operational and climatic conditions; and (b) to adjust specific models to the NY-7 sprinkler. By comparing measured values - obtained on field trials - with simulated ones, it was possible to conclude that, in general, the five considered empirical models presented little or no adjustment for the single-sprinkler outdoor tests (root mean square error of 5.27; 20.70; 5.07; 6.95 and 7.06% for empirical models 1; 2; 3; 4 and 5, respectively) as well as for the block irrigation outdoor tests (root mean square error of 7.41; 24.43; 6.72; 3.16 and 2.90% for empirical models 1; 2; 3; 4 and 5, respectively). When compared to the five considered empirical models, the new adjusted models showed lower errors, indicating that the application of empirical models must be limitated to working conditions (nozzle size, operational pressure, etc.) similar to the ones in which they were developed.
empirical models; irrigation efficiency; mathematical modeling
