Dynamic characterization of meandering channels planform

Autores
Dominguez Ruben, Lucas Gerardo; Gutierrez, Ronald; Ponte, Yoch; Abad, Jorge D.; Carrera, Oscar
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Meandering channels develop different geometry patterns alongthe floodplain during its evolution. These natural processes lead todeveloping lateral and longitudinal migration, describing a sort of sweptthat affect the human activities. As the equilibrium geometry of naturalchannels depends on: the flow and sediment discharge, geologicalconditions of valley, soil properties, and vegetation among others, thepreliminary characterization is not easy. Due to this, several engineering and scientific problems require an appropriate description ofmorphological processes. The dynamic characterization like thequantification of wavelength, amplitude, sinuosity, and curvature usingMedium Temporal Scheme (MTS) is using widely. Unlike the traditionalscheme that only uses short or long-term schemes, MTS includes relevantmorphological events (e.g., cutoff). In addition this, the satellite images has increased and achieves a high spatial resolution, even more when studying large basins. This paper presents and validates a MATLAB®-based toolbox called Meander Statistics Toolbox (MStaT) to perform thedynamic characterization of several meandering channels using the MTS.To run MStaT only need the centerline (CL), and the average width ofchannel as input parameters. To maximize the toolbox, MStaT incorporatesthe Wavelet Analysis (WA) to decompose the signal (CL) and obtains thepower spectrum. Finally, two studies cases (synthetic and natural channels) will be presented to validate MStaT.
Fil: Dominguez Ruben, Lucas Gerardo. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gutierrez, Ronald. Universidad de Ingeniería y Tecnologia; Perú
Fil: Ponte, Yoch. Universidad de Ingeniería y Tecnologia; Perú
Fil: Abad, Jorge D.. Universidad de Ingeniería y Tecnologia; Perú
Fil: Carrera, Oscar. Universidad de Ingeniería y Tecnologia; Perú
Materia
RIOS MEANDRIFORMES
GEOMETRIA EN PLANTA
ANALISIS WAVELET
PLANICIE AMAZONICA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/111112
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/111112
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dynamic characterization of meandering channels planformDominguez Ruben, Lucas GerardoGutierrez, RonaldPonte, YochAbad, Jorge D.Carrera, OscarRIOS MEANDRIFORMESGEOMETRIA EN PLANTAANALISIS WAVELETPLANICIE AMAZONICAhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Meandering channels develop different geometry patterns alongthe floodplain during its evolution. These natural processes lead todeveloping lateral and longitudinal migration, describing a sort of sweptthat affect the human activities. As the equilibrium geometry of naturalchannels depends on: the flow and sediment discharge, geologicalconditions of valley, soil properties, and vegetation among others, thepreliminary characterization is not easy. Due to this, several engineering and scientific problems require an appropriate description ofmorphological processes. The dynamic characterization like thequantification of wavelength, amplitude, sinuosity, and curvature usingMedium Temporal Scheme (MTS) is using widely. Unlike the traditionalscheme that only uses short or long-term schemes, MTS includes relevantmorphological events (e.g., cutoff). In addition this, the satellite images has increased and achieves a high spatial resolution, even more when studying large basins. This paper presents and validates a MATLAB®-based toolbox called Meander Statistics Toolbox (MStaT) to perform thedynamic characterization of several meandering channels using the MTS.To run MStaT only need the centerline (CL), and the average width ofchannel as input parameters. To maximize the toolbox, MStaT incorporatesthe Wavelet Analysis (WA) to decompose the signal (CL) and obtains thepower spectrum. Finally, two studies cases (synthetic and natural channels) will be presented to validate MStaT.Fil: Dominguez Ruben, Lucas Gerardo. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gutierrez, Ronald. Universidad de Ingeniería y Tecnologia; PerúFil: Ponte, Yoch. Universidad de Ingeniería y Tecnologia; PerúFil: Abad, Jorge D.. Universidad de Ingeniería y Tecnologia; PerúFil: Carrera, Oscar. Universidad de Ingeniería y Tecnologia; PerúEDP Sciences2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/111112Dominguez Ruben, Lucas Gerardo; Gutierrez, Ronald; Ponte, Yoch; Abad, Jorge D.; Carrera, Oscar; Dynamic characterization of meandering channels planform; EDP Sciences; E3S Web of Conferences; 40; 9-2018; 1-82267-1242CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.e3s-conferences.org/10.1051/e3sconf/20184002043info:eu-repo/semantics/altIdentifier/doi/10.1051/e3sconf/20184002043info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:14Zoai:ri.conicet.gov.ar:11336/111112instacron: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:34982025-09-29 09:37:14.328CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamic characterization of meandering channels planform
title Dynamic characterization of meandering channels planform
spellingShingle Dynamic characterization of meandering channels planform
Dominguez Ruben, Lucas Gerardo
RIOS MEANDRIFORMES
GEOMETRIA EN PLANTA
ANALISIS WAVELET
PLANICIE AMAZONICA
title_short Dynamic characterization of meandering channels planform
title_full Dynamic characterization of meandering channels planform
title_fullStr Dynamic characterization of meandering channels planform
title_full_unstemmed Dynamic characterization of meandering channels planform
title_sort Dynamic characterization of meandering channels planform
dc.creator.none.fl_str_mv Dominguez Ruben, Lucas Gerardo
Gutierrez, Ronald
Ponte, Yoch
Abad, Jorge D.
Carrera, Oscar
author Dominguez Ruben, Lucas Gerardo
author_facet Dominguez Ruben, Lucas Gerardo
Gutierrez, Ronald
Ponte, Yoch
Abad, Jorge D.
Carrera, Oscar
author_role author
author2 Gutierrez, Ronald
Ponte, Yoch
Abad, Jorge D.
Carrera, Oscar
author2_role author
author
author
author
dc.subject.none.fl_str_mv RIOS MEANDRIFORMES
GEOMETRIA EN PLANTA
ANALISIS WAVELET
PLANICIE AMAZONICA
topic RIOS MEANDRIFORMES
GEOMETRIA EN PLANTA
ANALISIS WAVELET
PLANICIE AMAZONICA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Meandering channels develop different geometry patterns alongthe floodplain during its evolution. These natural processes lead todeveloping lateral and longitudinal migration, describing a sort of sweptthat affect the human activities. As the equilibrium geometry of naturalchannels depends on: the flow and sediment discharge, geologicalconditions of valley, soil properties, and vegetation among others, thepreliminary characterization is not easy. Due to this, several engineering and scientific problems require an appropriate description ofmorphological processes. The dynamic characterization like thequantification of wavelength, amplitude, sinuosity, and curvature usingMedium Temporal Scheme (MTS) is using widely. Unlike the traditionalscheme that only uses short or long-term schemes, MTS includes relevantmorphological events (e.g., cutoff). In addition this, the satellite images has increased and achieves a high spatial resolution, even more when studying large basins. This paper presents and validates a MATLAB®-based toolbox called Meander Statistics Toolbox (MStaT) to perform thedynamic characterization of several meandering channels using the MTS.To run MStaT only need the centerline (CL), and the average width ofchannel as input parameters. To maximize the toolbox, MStaT incorporatesthe Wavelet Analysis (WA) to decompose the signal (CL) and obtains thepower spectrum. Finally, two studies cases (synthetic and natural channels) will be presented to validate MStaT.
Fil: Dominguez Ruben, Lucas Gerardo. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Departamento de Hidráulica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gutierrez, Ronald. Universidad de Ingeniería y Tecnologia; Perú
Fil: Ponte, Yoch. Universidad de Ingeniería y Tecnologia; Perú
Fil: Abad, Jorge D.. Universidad de Ingeniería y Tecnologia; Perú
Fil: Carrera, Oscar. Universidad de Ingeniería y Tecnologia; Perú
description Meandering channels develop different geometry patterns alongthe floodplain during its evolution. These natural processes lead todeveloping lateral and longitudinal migration, describing a sort of sweptthat affect the human activities. As the equilibrium geometry of naturalchannels depends on: the flow and sediment discharge, geologicalconditions of valley, soil properties, and vegetation among others, thepreliminary characterization is not easy. Due to this, several engineering and scientific problems require an appropriate description ofmorphological processes. The dynamic characterization like thequantification of wavelength, amplitude, sinuosity, and curvature usingMedium Temporal Scheme (MTS) is using widely. Unlike the traditionalscheme that only uses short or long-term schemes, MTS includes relevantmorphological events (e.g., cutoff). In addition this, the satellite images has increased and achieves a high spatial resolution, even more when studying large basins. This paper presents and validates a MATLAB®-based toolbox called Meander Statistics Toolbox (MStaT) to perform thedynamic characterization of several meandering channels using the MTS.To run MStaT only need the centerline (CL), and the average width ofchannel as input parameters. To maximize the toolbox, MStaT incorporatesthe Wavelet Analysis (WA) to decompose the signal (CL) and obtains thepower spectrum. Finally, two studies cases (synthetic and natural channels) will be presented to validate MStaT.
publishDate 2018
dc.date.none.fl_str_mv 2018-09
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/11336/111112
Dominguez Ruben, Lucas Gerardo; Gutierrez, Ronald; Ponte, Yoch; Abad, Jorge D.; Carrera, Oscar; Dynamic characterization of meandering channels planform; EDP Sciences; E3S Web of Conferences; 40; 9-2018; 1-8
2267-1242
CONICET Digital
CONICET
url http://hdl.handle.net/11336/111112
identifier_str_mv Dominguez Ruben, Lucas Gerardo; Gutierrez, Ronald; Ponte, Yoch; Abad, Jorge D.; Carrera, Oscar; Dynamic characterization of meandering channels planform; EDP Sciences; E3S Web of Conferences; 40; 9-2018; 1-8
2267-1242
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.e3s-conferences.org/10.1051/e3sconf/20184002043
info:eu-repo/semantics/altIdentifier/doi/10.1051/e3sconf/20184002043
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
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
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score 13.070432

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