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Probabilistic Description of Streamflow and Active Length Regimes in Rivers

In spite of the prevalence of temporary rivers over a wide range of climatic conditions, they represent a relatively understudied fraction of the global river network. Here, we exploit a well‐established hydrological model and a derived distribution approach to develop a coupled probabilistic descri...

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Autores principales: Durighetto, Nicola, Mariotto, Veronica, Zanetti, Francesca, McGuire, Kevin J., Mendicino, Giuseppe, Senatore, Alfonso, Botter, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286364/
https://www.ncbi.nlm.nih.gov/pubmed/35865717
http://dx.doi.org/10.1029/2021WR031344
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author Durighetto, Nicola
Mariotto, Veronica
Zanetti, Francesca
McGuire, Kevin J.
Mendicino, Giuseppe
Senatore, Alfonso
Botter, Gianluca
author_facet Durighetto, Nicola
Mariotto, Veronica
Zanetti, Francesca
McGuire, Kevin J.
Mendicino, Giuseppe
Senatore, Alfonso
Botter, Gianluca
author_sort Durighetto, Nicola
collection PubMed
description In spite of the prevalence of temporary rivers over a wide range of climatic conditions, they represent a relatively understudied fraction of the global river network. Here, we exploit a well‐established hydrological model and a derived distribution approach to develop a coupled probabilistic description for the dynamics of the catchment discharge and the corresponding active network length. Analytical expressions for the flow duration curve (FDC) and the stream length duration curve (SLDC) were derived and used to provide a consistent classification of streamflow and active length regimes in temporary rivers. Two distinct streamflow regimes (persistent and erratic) and three different types of active length regimes (ephemeral, perennial, and ephemeral de facto) were identified depending on the value of two dimensionless parameters. These key parameters, which are related to the underlying streamflow fluctuations and the sensitivity of active length to changes in the catchment discharge (here quantified by the scaling exponent b), originate seven different behavioral classes characterized by contrasting shapes of the underlying SLDCs and FDCs. The analytical model was tested using data gathered in three study catchments located in Italy and USA, with satisfactory model performances in most cases. Our analytical and empirical results show the existence of a structural relationship between streamflow and active length regimes, which is chiefly modulated by the scaling exponent b. The proposed framework represents a promising tool for the coupled analysis of discharge and river network length dynamics in temporary streams.
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spelling pubmed-92863642022-07-19 Probabilistic Description of Streamflow and Active Length Regimes in Rivers Durighetto, Nicola Mariotto, Veronica Zanetti, Francesca McGuire, Kevin J. Mendicino, Giuseppe Senatore, Alfonso Botter, Gianluca Water Resour Res Research Article In spite of the prevalence of temporary rivers over a wide range of climatic conditions, they represent a relatively understudied fraction of the global river network. Here, we exploit a well‐established hydrological model and a derived distribution approach to develop a coupled probabilistic description for the dynamics of the catchment discharge and the corresponding active network length. Analytical expressions for the flow duration curve (FDC) and the stream length duration curve (SLDC) were derived and used to provide a consistent classification of streamflow and active length regimes in temporary rivers. Two distinct streamflow regimes (persistent and erratic) and three different types of active length regimes (ephemeral, perennial, and ephemeral de facto) were identified depending on the value of two dimensionless parameters. These key parameters, which are related to the underlying streamflow fluctuations and the sensitivity of active length to changes in the catchment discharge (here quantified by the scaling exponent b), originate seven different behavioral classes characterized by contrasting shapes of the underlying SLDCs and FDCs. The analytical model was tested using data gathered in three study catchments located in Italy and USA, with satisfactory model performances in most cases. Our analytical and empirical results show the existence of a structural relationship between streamflow and active length regimes, which is chiefly modulated by the scaling exponent b. The proposed framework represents a promising tool for the coupled analysis of discharge and river network length dynamics in temporary streams. John Wiley and Sons Inc. 2022-04-08 2022-04 /pmc/articles/PMC9286364/ /pubmed/35865717 http://dx.doi.org/10.1029/2021WR031344 Text en © 2022. The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Durighetto, Nicola
Mariotto, Veronica
Zanetti, Francesca
McGuire, Kevin J.
Mendicino, Giuseppe
Senatore, Alfonso
Botter, Gianluca
Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title_full Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title_fullStr Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title_full_unstemmed Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title_short Probabilistic Description of Streamflow and Active Length Regimes in Rivers
title_sort probabilistic description of streamflow and active length regimes in rivers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286364/
https://www.ncbi.nlm.nih.gov/pubmed/35865717
http://dx.doi.org/10.1029/2021WR031344
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