@conference{10272/25783,
year = {2025},
month = {6},
url = {https://hdl.handle.net/10272/25783},
abstract = {This paper presents a calibration methodology for adjusting the parameters of an irrigation network. The objective is to adjust
the hydraulic model to reflect more accurately the real operating conditions. For this purpose, data from pressure and flow sensors
are used. The decision variables are pipe roughness, which plays a key role because it affects distribution head losses. This problem
is addressed by using genetic algorithms, since the number of decision variables is very large and the hydraulic model is nonlinear.
The work analyzes the impact on the calibration results of considering roughness by material type or by independent pipe. The
methodology is applied to a real irrigation network of a 125ha citrus farm in Huelva, showing an improvement in the prediction
capacity of the calibrated model of 10.8% in the Willmott index for pressures, compared to the initial model designed with the
producer’s data.},
organization = {Esta publicaci´on es parte del proyecto GOPG-SE-23-0003,
financiado por la Junta de Andaluc´ıa en el marco de los Grupos
Operativos de la Asociaci´on Europea de Innovaci´on (AEI).},
publisher = {Comité Español de Automática},
title = {Calibración de parámetros en redes de riego mediante algoritmos genéticos},
author = {Ruiz Hermo, A. and Neto, F.M. and Orihuela Espina, Diego Luis},
}