Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels

Autores
Dominguez Ruben, Lucas Gerardo; Naito, Kensuke; Gutierrez, Ronald Roger; Szupiany, Ricardo Nicolas; Abad, Jorge Darwin
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This contribution presents MStaT, a wavelet-based open-source software developed to provide a detailed characterization of large meandering river morphodynamics. MStaT integrates three independent modules: (i) meandering morphometrics module; (ii) migration module; and (iii) confluence module. MStaT delivers a short and medium-term framework to analyze the river centerline and valley-meandering channel interrelationship at low computational cost. It provides quantitative information on the spatial distribution of the arc-wavelength, migration rates, cutoffs events, and tributary channels influences. Data are presented through a user-friendly graphical user interface that makes the output interpretation easier, and that is freely available to the communities of river morphodynamics scientists and engineers.
Fil: Dominguez Ruben, Lucas Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Naito, Kensuke. Universidad de Ingenieria y Tecnologia; Perú
Fil: Gutierrez, Ronald Roger. Pontificia Universidad Católica de Perú; Perú
Fil: Szupiany, Ricardo Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Abad, Jorge Darwin. Universidad de Ingenieria y Tecnologia; Perú. Red Yaku; Perú
Materia
MIGRATION PATTERNS
MORPHOMETRICS
WAVELET FILTER
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/167353
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channelsDominguez Ruben, Lucas GerardoNaito, KensukeGutierrez, Ronald RogerSzupiany, Ricardo NicolasAbad, Jorge DarwinMIGRATION PATTERNSMORPHOMETRICSWAVELET FILTERhttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2This contribution presents MStaT, a wavelet-based open-source software developed to provide a detailed characterization of large meandering river morphodynamics. MStaT integrates three independent modules: (i) meandering morphometrics module; (ii) migration module; and (iii) confluence module. MStaT delivers a short and medium-term framework to analyze the river centerline and valley-meandering channel interrelationship at low computational cost. It provides quantitative information on the spatial distribution of the arc-wavelength, migration rates, cutoffs events, and tributary channels influences. Data are presented through a user-friendly graphical user interface that makes the output interpretation easier, and that is freely available to the communities of river morphodynamics scientists and engineers.Fil: Dominguez Ruben, Lucas Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Naito, Kensuke. Universidad de Ingenieria y Tecnologia; PerúFil: Gutierrez, Ronald Roger. Pontificia Universidad Católica de Perú; PerúFil: Szupiany, Ricardo Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; ArgentinaFil: Abad, Jorge Darwin. Universidad de Ingenieria y Tecnologia; Perú. Red Yaku; PerúElsevier2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/167353Dominguez Ruben, Lucas Gerardo; Naito, Kensuke; Gutierrez, Ronald Roger; Szupiany, Ricardo Nicolas; Abad, Jorge Darwin; Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels; Elsevier; SoftwareX; 14; 6-2021; 1-62352-7110CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2352711021000194info:eu-repo/semantics/altIdentifier/url/https://www.softxjournal.com/article/S2352-7110(21)00019-4/fulltextinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.softx.2021.100674info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:35:51Zoai:ri.conicet.gov.ar:11336/167353instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:35:51.988CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
title Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
spellingShingle Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
Dominguez Ruben, Lucas Gerardo
MIGRATION PATTERNS
MORPHOMETRICS
WAVELET FILTER
title_short Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
title_full Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
title_fullStr Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
title_full_unstemmed Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
title_sort Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels
dc.creator.none.fl_str_mv Dominguez Ruben, Lucas Gerardo
Naito, Kensuke
Gutierrez, Ronald Roger
Szupiany, Ricardo Nicolas
Abad, Jorge Darwin
author Dominguez Ruben, Lucas Gerardo
author_facet Dominguez Ruben, Lucas Gerardo
Naito, Kensuke
Gutierrez, Ronald Roger
Szupiany, Ricardo Nicolas
Abad, Jorge Darwin
author_role author
author2 Naito, Kensuke
Gutierrez, Ronald Roger
Szupiany, Ricardo Nicolas
Abad, Jorge Darwin
author2_role author
author
author
author
dc.subject.none.fl_str_mv MIGRATION PATTERNS
MORPHOMETRICS
WAVELET FILTER
topic MIGRATION PATTERNS
MORPHOMETRICS
WAVELET FILTER
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This contribution presents MStaT, a wavelet-based open-source software developed to provide a detailed characterization of large meandering river morphodynamics. MStaT integrates three independent modules: (i) meandering morphometrics module; (ii) migration module; and (iii) confluence module. MStaT delivers a short and medium-term framework to analyze the river centerline and valley-meandering channel interrelationship at low computational cost. It provides quantitative information on the spatial distribution of the arc-wavelength, migration rates, cutoffs events, and tributary channels influences. Data are presented through a user-friendly graphical user interface that makes the output interpretation easier, and that is freely available to the communities of river morphodynamics scientists and engineers.
Fil: Dominguez Ruben, Lucas Gerardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Naito, Kensuke. Universidad de Ingenieria y Tecnologia; Perú
Fil: Gutierrez, Ronald Roger. Pontificia Universidad Católica de Perú; Perú
Fil: Szupiany, Ricardo Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas; Argentina
Fil: Abad, Jorge Darwin. Universidad de Ingenieria y Tecnologia; Perú. Red Yaku; Perú
description This contribution presents MStaT, a wavelet-based open-source software developed to provide a detailed characterization of large meandering river morphodynamics. MStaT integrates three independent modules: (i) meandering morphometrics module; (ii) migration module; and (iii) confluence module. MStaT delivers a short and medium-term framework to analyze the river centerline and valley-meandering channel interrelationship at low computational cost. It provides quantitative information on the spatial distribution of the arc-wavelength, migration rates, cutoffs events, and tributary channels influences. Data are presented through a user-friendly graphical user interface that makes the output interpretation easier, and that is freely available to the communities of river morphodynamics scientists and engineers.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/167353
Dominguez Ruben, Lucas Gerardo; Naito, Kensuke; Gutierrez, Ronald Roger; Szupiany, Ricardo Nicolas; Abad, Jorge Darwin; Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels; Elsevier; SoftwareX; 14; 6-2021; 1-6
2352-7110
CONICET Digital
CONICET
url http://hdl.handle.net/11336/167353
identifier_str_mv Dominguez Ruben, Lucas Gerardo; Naito, Kensuke; Gutierrez, Ronald Roger; Szupiany, Ricardo Nicolas; Abad, Jorge Darwin; Meander Statistics Toolbox (MStaT): a toolbox for geometry characterization of bends in large meandering channels; Elsevier; SoftwareX; 14; 6-2021; 1-6
2352-7110
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2352711021000194
info:eu-repo/semantics/altIdentifier/url/https://www.softxjournal.com/article/S2352-7110(21)00019-4/fulltext
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.softx.2021.100674
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781995797970944
score 12.982451

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