Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics

Autores
Genchi, Sibila Andrea; Vitale, Alejandro José; Perillo, Gerardo Miguel E.; Piccolo, Maria Cintia
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In semi-arid environments there is often a lack of data on hydrological variables that limits the ability to understand key hydrological processes. In response to this need, geomorphometric analysis is a quantitative approach that has proven to be useful. This work aims to assess and classify 35 exorheic drainage basins located in a semi-arid area of Argentina (Northeastern Patagonia) according to their geomorphometric properties by using GIS technology and principal component (PCA) and cluster analysis (CA) multivariate techniques. In addition, an assessment of automated drainage network extraction accuracy was performed by comparing it with the actual drainage network. The study showed that it was possible to derive automated drainage networks with errors lower than 6 %. By comparing both PCA and CA, it was found that the former allows a good understanding of the clustering of basins from the CA. All basins were clustered into four groups following a significant spatial continuity. This type of study gives the basis for regionalscale analysis, and provides further information for subsequent modeling.
Fil: Genchi, Sibila Andrea. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Perillo, Gerardo Miguel E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Piccolo, Maria Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Materia
Argentina
Cluster Analysis
Drainage Network Extraction
Geomorphometry
Principal Components Analysis
Semi-Arid Region
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:11336/26326
Acceder
id CONICETDig_f45b917077a1bc28f97b4b8859ba907b
oai_identifier_str oai:ri.conicet.gov.ar:11336/26326
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statisticsGenchi, Sibila AndreaVitale, Alejandro JoséPerillo, Gerardo Miguel E.Piccolo, Maria CintiaArgentinaCluster AnalysisDrainage Network ExtractionGeomorphometryPrincipal Components AnalysisSemi-Arid Regionhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In semi-arid environments there is often a lack of data on hydrological variables that limits the ability to understand key hydrological processes. In response to this need, geomorphometric analysis is a quantitative approach that has proven to be useful. This work aims to assess and classify 35 exorheic drainage basins located in a semi-arid area of Argentina (Northeastern Patagonia) according to their geomorphometric properties by using GIS technology and principal component (PCA) and cluster analysis (CA) multivariate techniques. In addition, an assessment of automated drainage network extraction accuracy was performed by comparing it with the actual drainage network. The study showed that it was possible to derive automated drainage networks with errors lower than 6 %. By comparing both PCA and CA, it was found that the former allows a good understanding of the clustering of basins from the CA. All basins were clustered into four groups following a significant spatial continuity. This type of study gives the basis for regionalscale analysis, and provides further information for subsequent modeling.Fil: Genchi, Sibila Andrea. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Perillo, Gerardo Miguel E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Piccolo, Maria Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaSpringer2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/26326Genchi, Sibila Andrea; Vitale, Alejandro José; Perillo, Gerardo Miguel E.; Piccolo, Maria Cintia; Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics; Springer; Earth Science Informatics; 9; 3; 9-2016; 309-3241865-0473CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s12145-016-0258-2info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs12145-016-0258-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:33:01Zoai:ri.conicet.gov.ar:11336/26326instacron: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 09:33:01.896CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
title Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
spellingShingle Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
Genchi, Sibila Andrea
Argentina
Cluster Analysis
Drainage Network Extraction
Geomorphometry
Principal Components Analysis
Semi-Arid Region
title_short Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
title_full Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
title_fullStr Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
title_full_unstemmed Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
title_sort Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics
dc.creator.none.fl_str_mv Genchi, Sibila Andrea
Vitale, Alejandro José
Perillo, Gerardo Miguel E.
Piccolo, Maria Cintia
author Genchi, Sibila Andrea
author_facet Genchi, Sibila Andrea
Vitale, Alejandro José
Perillo, Gerardo Miguel E.
Piccolo, Maria Cintia
author_role author
author2 Vitale, Alejandro José
Perillo, Gerardo Miguel E.
Piccolo, Maria Cintia
author2_role author
author
author
dc.subject.none.fl_str_mv Argentina
Cluster Analysis
Drainage Network Extraction
Geomorphometry
Principal Components Analysis
Semi-Arid Region
topic Argentina
Cluster Analysis
Drainage Network Extraction
Geomorphometry
Principal Components Analysis
Semi-Arid Region
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In semi-arid environments there is often a lack of data on hydrological variables that limits the ability to understand key hydrological processes. In response to this need, geomorphometric analysis is a quantitative approach that has proven to be useful. This work aims to assess and classify 35 exorheic drainage basins located in a semi-arid area of Argentina (Northeastern Patagonia) according to their geomorphometric properties by using GIS technology and principal component (PCA) and cluster analysis (CA) multivariate techniques. In addition, an assessment of automated drainage network extraction accuracy was performed by comparing it with the actual drainage network. The study showed that it was possible to derive automated drainage networks with errors lower than 6 %. By comparing both PCA and CA, it was found that the former allows a good understanding of the clustering of basins from the CA. All basins were clustered into four groups following a significant spatial continuity. This type of study gives the basis for regionalscale analysis, and provides further information for subsequent modeling.
Fil: Genchi, Sibila Andrea. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Vitale, Alejandro José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Perillo, Gerardo Miguel E.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Piccolo, Maria Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
description In semi-arid environments there is often a lack of data on hydrological variables that limits the ability to understand key hydrological processes. In response to this need, geomorphometric analysis is a quantitative approach that has proven to be useful. This work aims to assess and classify 35 exorheic drainage basins located in a semi-arid area of Argentina (Northeastern Patagonia) according to their geomorphometric properties by using GIS technology and principal component (PCA) and cluster analysis (CA) multivariate techniques. In addition, an assessment of automated drainage network extraction accuracy was performed by comparing it with the actual drainage network. The study showed that it was possible to derive automated drainage networks with errors lower than 6 %. By comparing both PCA and CA, it was found that the former allows a good understanding of the clustering of basins from the CA. All basins were clustered into four groups following a significant spatial continuity. This type of study gives the basis for regionalscale analysis, and provides further information for subsequent modeling.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
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/11336/26326
Genchi, Sibila Andrea; Vitale, Alejandro José; Perillo, Gerardo Miguel E.; Piccolo, Maria Cintia; Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics; Springer; Earth Science Informatics; 9; 3; 9-2016; 309-324
1865-0473
CONICET Digital
CONICET
url http://hdl.handle.net/11336/26326
identifier_str_mv Genchi, Sibila Andrea; Vitale, Alejandro José; Perillo, Gerardo Miguel E.; Piccolo, Maria Cintia; Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics; Springer; Earth Science Informatics; 9; 3; 9-2016; 309-324
1865-0473
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s12145-016-0258-2
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs12145-016-0258-2
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
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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_ 1844613011332923392
score 13.070432

Publicaciones similares