Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/28790

Title: Numerical study of the seasonal thermal and gas regimes of the largest artificial reservoir in western Europe using the LAKE 2.0 model
Authors: Iakunin, Maksim
Stepanenko, Victor
Salgado, Rui
Potes, Miguel
Penha, Alexandra
Novais, Maria Helena
Rodrigues, Gonçalo
Issue Date: 5-Aug-2020
Publisher: Geoscientific Model Development
Citation: Iakunin, M., Stepanenko, V., Salgado, R., Potes, M., Penha, A., Novais, M.H. and Rodrigues, G. 2020. Numerical study of the seasonal thermal and gas regimes of the largest artificial reservoir in western Europe using the LAKE 2.0 model. Geosci. Model Dev., 13, 3475–3488.
Abstract: The Alqueva reservoir (southeast of Portugal) is the largest artificial lake in western Europe and a strategic freshwater supply in the region. The reservoir is of scientific interest in terms of monitoring and maintaining the quality and quantity of water and its impact on the regional climate. To support these tasks, we conducted numerical studies of the thermal and gas regimes in the lake over the period from May 2017 to March 2019, supplemented by the data observed at the weather stations and floating platforms during the field campaign of the ALentejo Observation and Prediction (ALOP) system project. The 1D model, LAKE 2.0, was used for the numerical studies. Since it is highly versatile and can be adjusted to the specific features of the reservoir, this model is capable of simulating its thermodynamic and biogeochemical characteristics. Profiles and time series of water temperature, sensible and latent heat fluxes, and concentrations of CO2 and O2 reproduced by the LAKE 2.0 model were validated against the observed data and were compared to the thermodynamic simulation results obtained with the freshwater lake (FLake) model. The results demonstrated that both models captured the seasonal variations in water surface temperature and the internal thermal structure of the Alqueva reservoir well. The LAKE 2.0 model showed slightly better results and satisfactorily captured the seasonal gas regime.
URI: http://hdl.handle.net/10174/28790
Type: article
Appears in Collections:ICT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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