Theoretical prediction of rainfall intensity for a small rainfall simulator

Autor: Agosta, Martina, Bagarello, Vincenzo, Caltabellotta, Gaetano, Carollo, Francesco Giuseppe, Vaccaro, Girolamo, Pampalone, Vincenzo
Přispěvatelé: Agosta, Martina, Bagarello, Vincenzo, Caltabellotta, Gaetano, Carollo, Francesco Giuseppe, Vaccaro, Girolamo, Pampalone, Vincenzo
Rok vydání: 2022
Předmět:
Zdroj: 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor).
Popis: 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.
Databáze: OpenAIRE