In this contribution, a theoretical approach was developed for predicting rainfall intensity for a small rainfall simulator. The developed equation was tested for two different devices and different pressure head and water temperature values. The proposed relationship was found to have a good predictive ability of rainfall intensity. The proposed theoretical approach could be usable with other devices that operate on the same principles of the simulator considered in this investigation.
Agosta, M., Bagarello, V., Caltabellotta, G., Carollo, F.G., Vaccaro, G., Pampalone, V. (2022). Theoretical prediction of rainfall intensity for a small rainfall simulator. In 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) - Proceedings (pp. 329-333) [10.1109/MetroAgriFor55389.2022.9965068].
Theoretical prediction of rainfall intensity for a small rainfall simulator
Agosta, Martina;Bagarello, Vincenzo;Caltabellotta, Gaetano;Carollo, Francesco Giuseppe
;Vaccaro, Girolamo;Pampalone, Vincenzo
2022-01-01
Abstract
In this contribution, a theoretical approach was developed for predicting rainfall intensity for a small rainfall simulator. The developed equation was tested for two different devices and different pressure head and water temperature values. The proposed relationship was found to have a good predictive ability of rainfall intensity. The proposed theoretical approach could be usable with other devices that operate on the same principles of the simulator considered in this investigation.
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