The FC algorithm to estimate the Manning’s roughness coefficients of irrigation canals

Freshwater scarcity has driven the integration of technological advancements and automation systems in agriculture in order to attempt to improve water-use efficiency. For irrigation canals, water-use efficiency is, in great measure, limited by the performance of management systems responsible for c...

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Detalles Bibliográficos
Autores: Bonet Gil, Enrique|||0000-0002-2782-5366, Russo, Beniamino|||0000-0001-9437-0085, Yubero de Mateo, Maria Teresa|||0000-0003-1871-8507, Gómez Valentín, Manuel|||0000-0001-7042-5897, Sánchez Juny, Martí|||0000-0003-2877-7711
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/394942
Acceso en línea:https://hdl.handle.net/2117/394942
https://dx.doi.org/10.3390/agriculture13071351
Access Level:acceso abierto
Palabra clave:Water-supply, Agricultural
Agricultural demands
Irrigation canal control
Manning’s roughness coefficient
Parameter identification
Open channel flow
Optimization algorithms
Aigua--Abastament agrícola
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Canals i regadius
Descripción
Sumario:Freshwater scarcity has driven the integration of technological advancements and automation systems in agriculture in order to attempt to improve water-use efficiency. For irrigation canals, water-use efficiency is, in great measure, limited by the performance of management systems responsible for controlling the flow and delivering water to the farmers. Recent studies show a significant sensitivity of the results obtained from irrigation canal control algorithms with respect to the Manning’s roughness coefficient value, thus, highlighting the importance of its correct estimation to ensure an accurate and efficient water delivery service. This is the reason why the friction coefficient algorithm was developed, to monitor the real behaviour of any irrigation canal by calculating the Manning’s roughness coefficient constantly. The friction coefficient algorithm was conceived as a powerful offline tool that is integrated in a control diagram of any irrigation canal, concretely in an optimization control algorithm, which can reconfigure canal gates according to the current crop water demand and the real Manning’s roughness coefficient values. The friction coefficient algorithm has been applied in several irrigation canals and different scenarios, with accurate results obtaining an average Manning coefficient deviation among 2 × 10-4 and 4.5 × 10-4.