Efficient reservoir modelling for flood regulation in the Ebro river (Spain)

Echeverribar, Isabel ; Vallés, Pablo ; Mairal, Juan (Universidad de Zaragoza) ; García-Navarro, Pilar (Universidad de Zaragoza)

Resumen: The vast majority of reservoirs, although built for irrigation and water supply purposes, are also used as regulation tools during floods in river basins. Thus, the selection of the most suitable model when facing the simulation of a flood wave in a combination of river reach and reservoir is not direct and frequently some analysis of the proper system of equations and the number of solved flow velocity components is needed. In this work, a stretch of the Ebro River (Spain), which is the biggest river in Spain, is simulated solving the Shallow Water Equations (SWE). The simulation model covers the area of river between the city of Zaragoza and the Mequinenza dam. The domain encompasses 721.92 km2 with 221 km of river bed, of which the last 75 km belong to the Mequinenza reservoir. The results obtained from a one-dimensional (1D) model are validated comparing with those provided by a two-dimensional (2D) model based on the same numerical scheme and with measurements. The 1D modelling loses the detail of the floodplain, but nevertheless the computational consumption is much lower compared to the 2D model with a permissible loss of accuracy. Additionally, the particular nature of this reservoir might turn the 1D model into a more suitable option. An alternative technique is applied in order to model the reservoir globally by means of a volume balance (0D) model, coupled to the 1D model of the river (1D-0D model). The results obtained are similar to those provided by the full 1D model with an improvement on computational time. Finally, an automatic regulation is implemented by means of a Proportional-Integral-Derivative (PID) algorithm and tested in both the full 1D model and the 1D-0D model. The results show that the coupled model behaves correctly even when controlled by the automatic algorithm. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Idioma: Inglés

DOI: 10.3390/w13223160

Año: 2021

Publicado en: Water (Switzerland) 13, 22 (2021), 13223160 [20 pp]
ISSN: 2073-4441

Factor impacto JCR: 3.53 (2021)

Categ. JCR: WATER RESOURCES rank: 36 / 99 = 0.364 (2021) - Q2 - T2
Categ. JCR: ENVIRONMENTAL SCIENCES rank: 148 / 279 = 0.53 (2021) - Q3 - T2

Factor impacto CITESCORE: 4.8 - Agricultural and Biological Sciences (Q1) - Social Sciences (Q1) - Environmental Science (Q2) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 0.716 - Aquatic Science (Q1) - Geography, Planning and Development (Q1) - Biochemistry (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MICINN-FEDER/PGC2018-094341-B-I00
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DIN2018-010036

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Mecánica de Fluidos (Dpto. Ciencia Tecnol.Mater.Fl.)