Forecasting the daily variability discharge in the fluvial system of the Paraná River: an ODPC hydrology application

The relation between discharge and matters of social economy is of constant interest for decision makers. Unexpected daily discharge fluctuations could easily affect agriculture and tourism, among other things. Moreover, because discharge is considered a stochastic variable, studies of new resources...

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Bibliographic Details
Published in:Hydrological sciences journal 2022-10, Vol.67 (14), p.2121-2128
Main Authors: Meis, Melanie, Benjamín, Manuel, Rodriguez, Daniela
Format: Article
Language:eng ; fre
Subjects:
Agriculture
Daily
Daily forecasts
Discharge
Forecasting
Hydrology
Mathematical models
modelling
multivariate
ODPC
Stochasticity
Stream discharge
Stream flow
streamflow
Tourism
Variability
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Summary:The relation between discharge and matters of social economy is of constant interest for decision makers. Unexpected daily discharge fluctuations could easily affect agriculture and tourism, among other things. Moreover, because discharge is considered a stochastic variable, studies of new resources to prevent and reduce their negative impacts are needed. We propose the novel application of a technique known as one-sided dynamical principal components (ODPC) to the field of hydrology. This technique allowed us to model and predict the daily variability of the streamflow of three gauge stations of the La Plata Basin. We did a comparison between ODPC and the traditional models used in the field for time series forecasts. This comparison demonstrated that the ODPC method provides some improvement for treatment and forecasting of the daily variability in discharge.
ISSN:0262-6667
2150-3435
DOI:10.1080/02626667.2022.2121654