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- Title
Artificial neural network model for simulation of water distribution in sprinkle irrigation.
- Authors
de Menezes, Paulo L.; de Azevedo, Carlos A. V.; Eyng, Eduardo; Neto, José Dantas; de Lima, Vera L. A.
- Abstract
Determining uniformity coefficients of sprinkle irrigation systems, in general, depends on trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (ANN) to simulate sprinkler precipitation, using the values of operating pressure, wind speed, wind direction and sprinkler nozzle diameter as the input parameters. Field trials were performed with one sprinkler operating in a grid of16 x 16, collectors with spacing of 1.5 m and different combinations of nozzles, pressures, and wind conditions. The ANN model showed good results in the simulation of precipitation, with Spearman's correlation coefficient (rs) ranging from 0.92 to 0.97 and Willmott agreement index (d) from 0.950 to 0.991, between the observed and simulated values for ten analysed trials. The ANN model shows promise in the simulation of precipitation in sprinkle irrigation systems.
- Subjects
SPRINKLER irrigation; ARTIFICIAL neural networks; WATER distribution; COMPUTER simulation; NOZZLES
- Publication
Revista Brasileira de Engenharia Agricola e Ambiental - Agriambi, 2015, Vol 19, Issue 9, p817
- ISSN
1807-1929
- Publication type
Article
- DOI
10.1590/1807-1929/agriambi.v19n9p817-822