Hydrostatistical study of the Paraná and Uruguay Rivers

In this study, we analysed gauging stations in the Paraná and Uruguay Rivers, two rivers with excessive run-off which is used for energy and irrigation. We studied their statistical structure and applied spectral techniques to monthly streamflow in order to represent temporal and spatial variability...

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Detalles Bibliográficos
Autores principales: Meis, M., Llano, M.P.
Formato: JOUR
Materias:
La Plata Basin
spectrum
streamflow
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_15715124_v17_n1_p1_Meis
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_15715124_v17_n1_p1_Meis
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spelling todo:paper_15715124_v17_n1_p1_Meis2023-10-03T16:27:18Z Hydrostatistical study of the Paraná and Uruguay Rivers Meis, M. Llano, M.P. La Plata Basin spectrum streamflow In this study, we analysed gauging stations in the Paraná and Uruguay Rivers, two rivers with excessive run-off which is used for energy and irrigation. We studied their statistical structure and applied spectral techniques to monthly streamflow in order to represent temporal and spatial variability. We also explored the relationship of some of these series with El Niño Southern Oscillation (ENSO) variability. Given these conditions, climatic coherence studies between pairs of stations in the Paraná network, especially for the most frequent waves (less than 2 years), turned out to be redundant. Furthermore, we observed that series for stations in the Paraná River fit to common theoretical distributions, where normality is absent, making this kind of analysis to be redundant as well. The exploratory analysis for this streamflow network, and its extensive records, suggest that in order to improve hydroclimatological studies, reference stations can be selected for each river. © 2018, © 2018 International Association for Hydro-Environment Engineering and Research. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15715124_v17_n1_p1_Meis
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic La Plata Basin
spectrum
streamflow
spellingShingle La Plata Basin
spectrum
streamflow
Meis, M.
Llano, M.P.
Hydrostatistical study of the Paraná and Uruguay Rivers
topic_facet La Plata Basin
spectrum
streamflow
description In this study, we analysed gauging stations in the Paraná and Uruguay Rivers, two rivers with excessive run-off which is used for energy and irrigation. We studied their statistical structure and applied spectral techniques to monthly streamflow in order to represent temporal and spatial variability. We also explored the relationship of some of these series with El Niño Southern Oscillation (ENSO) variability. Given these conditions, climatic coherence studies between pairs of stations in the Paraná network, especially for the most frequent waves (less than 2 years), turned out to be redundant. Furthermore, we observed that series for stations in the Paraná River fit to common theoretical distributions, where normality is absent, making this kind of analysis to be redundant as well. The exploratory analysis for this streamflow network, and its extensive records, suggest that in order to improve hydroclimatological studies, reference stations can be selected for each river. © 2018, © 2018 International Association for Hydro-Environment Engineering and Research.
format JOUR
author Meis, M.
Llano, M.P.
author_facet Meis, M.
Llano, M.P.
author_sort Meis, M.
title Hydrostatistical study of the Paraná and Uruguay Rivers
title_short Hydrostatistical study of the Paraná and Uruguay Rivers
title_full Hydrostatistical study of the Paraná and Uruguay Rivers
title_fullStr Hydrostatistical study of the Paraná and Uruguay Rivers
title_full_unstemmed Hydrostatistical study of the Paraná and Uruguay Rivers
title_sort hydrostatistical study of the paraná and uruguay rivers
url http://hdl.handle.net/20.500.12110/paper_15715124_v17_n1_p1_Meis
work_keys_str_mv AT meism hydrostatisticalstudyoftheparanaanduruguayrivers
AT llanomp hydrostatisticalstudyoftheparanaanduruguayrivers
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