Abstract
In order to manage adequately their water resources, Hydro-Québec often uses simulation of energy at different points of the hydrological network. This simulation is based on monthly means computed from daily observed flows. However, it is possible that some daily values are missing. Hydro-Québec will then reject the calculated monthly mean flow when four or more daily observations are not available or if they seem incorrect. Furthermore, the monthly means may be rejected for many consecutive months at certain sites. Also, when a basin is large, more than one station is needed to obtain a good estimation of flows at sites of reservoirs. As very few stations have complete series on a long period, it is therefore very important to be able to estimate these missing values in order to obtain reliable estimates from the energy production simulation models.
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© 1994 Springer Science+Business Media Dordrecht
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Perron, H., Bruneau, P., Bobée, B., Perreault, L. (1994). Rémus, Software for Missing Data Recovery. In: Hipel, K.W., McLeod, A.I., Panu, U.S., Singh, V.P. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3083-9_27
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DOI: https://doi.org/10.1007/978-94-017-3083-9_27
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