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dc.contributor.author
Genchi, Sibila Andrea  
dc.contributor.author
Vitale, Alejandro José  
dc.contributor.author
Perillo, Gerardo Miguel E.  
dc.contributor.author
Piccolo, Maria Cintia  
dc.date.available
2017-10-10T14:32:09Z  
dc.date.issued
2016-09  
dc.identifier.citation
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  
dc.identifier.issn
1865-0473  
dc.identifier.uri
http://hdl.handle.net/11336/26326  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Argentina  
dc.subject
Cluster Analysis  
dc.subject
Drainage Network Extraction  
dc.subject
Geomorphometry  
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Principal Components Analysis  
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Semi-Arid Region  
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Geomorphometric assessment of drainage systems in a semi-arid region of Argentina using geospatial tools and multivariate statistics  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-10-04T16:56:49Z  
dc.journal.volume
9  
dc.journal.number
3  
dc.journal.pagination
309-324  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Genchi, Sibila Andrea. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
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  
dc.description.fil
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  
dc.description.fil
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  
dc.journal.title
Earth Science Informatics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s12145-016-0258-2  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs12145-016-0258-2