PREDICTIVE MODELS OF WATER APPLICATION AND DISTRIBUTION EFFICIENCY IN CONVENTIONAL SPRINKLING
| Autor: | Fernando França da Cunha, Francisco Cássio Gomes Alvino, Lucas Borges Ferreira, Edcássio Dias Araújo, Dionei Lima Santos |
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| Rok vydání: | 2020 |
| Předmět: |
irrigation efficiency
Mean squared error Agriculture (General) Mean absolute error Working pressure Agricultural and Biological Sciences (miscellaneous) Soil gradation Pearson product-moment correlation coefficient S1-972 Water depth symbols.namesake Distribution (mathematics) Statistics symbols uniformity coefficient Mean bias error evaporation and wind drift Mathematics |
| Zdroj: | Engenharia Agrícola Engenharia Agrícola, Volume: 40, Issue: 1, Pages: 24-33, Published: 17 FEB 2020 Engenharia Agrícola v.40 n.1 2020 Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
| ISSN: | 1809-4430 0100-6916 |
| DOI: | 10.1590/1809-4430-eng.agric.v40n1p24-33/2020 |
| Popis: | Correct determinations of distribution (Ed) and application (EA) efficiencies allow adequate estimations of the gross irrigation depth. This study aimed: i) to determine the distribution efficiency using the Christiansen uniformity coefficient (CUC) in a sprinkler irrigation system under different weather conditions and working pressures; ii) to compare the mean, median, and cumulative CUC values; and iii) to evaluate the predictive capacity of four EA estimation models. CUC values were determined from 80 assessments, as well as the mean, median, and cumulative. The precipitated water depth accumulated in each collector was considered for the accumulated CUC. More uniform evaluations were used for EA (working pressure of 196 kPa), resulting in 20 samples. Besides being measured, EA was estimated by Keller & Bliesner, Playán, Tarjuelo, and Beskow methods. Statistical indicators were the root mean square error, mean bias error, Willmott agreement index, mean absolute error, and Pearson correlation coefficient. CUC values ranged from 66.51 to 92.04%, and the accumulated CUC provided an improvement over the isolated evaluations. The Beskow model had the best EA estimations in conventional spraying. |
| Databáze: | OpenAIRE |
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