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dc.contributor.author
Casado, Ana Lia
dc.contributor.author
López, Natalia C.
dc.date.available
2025-10-20T10:22:47Z
dc.date.issued
2025-01
dc.identifier.citation
Casado, Ana Lia; López, Natalia C.; Comparison of synthetic unit hydrograph methods for flood assessment in a dryland, poorly gauged basin (Napostá Grande, Argentina); AIMS Press; AIMS Geosciences; 11; 1; 1-2025; 27-46
dc.identifier.issn
2471-2132
dc.identifier.uri
http://hdl.handle.net/11336/273682
dc.description.abstract
This paper examined and compared the reliability of two popular unit hydrograph methods for flood assessment in a dryland, poorly gauged basin: the Soil Conservation Service (NRCS-UH) method and the geomorphologic instantaneous unit hydrograph (GIUH) model. In addition, two different estimates of the basin’s time of concentration were compared, along with varying values of the runoff curve number, to compute the watershed lag. Simulations were performed for the upper Napostá Grande (SW Buenos Aires, Argentina), using eight historic rainfall-runoff events to validate the resulting hydrograph at the basin outlet. Validation used runoff volume, peak flow, and recession time as an alternative to time to peak, for which only mean daily data were available. Results revealed great discrepancies in unit hydrograph parameters for varying determination methods, time of concentration estimates, and basin lag factors, as well as lower-than-standard peak rate factors for GIUH hydrographs. The comparison of simulated with observed hydrographs suggested a better agreement of GIUH for the highest retardance factor, as it produced the smaller peaks with the longer recession. This study informs on the complex relationships involved in unit hydrograph (UH) determination for the studied basin and warns about the variability of obtained results depending on the applied methodology, the caution needed in the systematic use of standard parameters, and the importance of verifying the accuracy of results. This provides a valuable framework for flood assessment within regional, ungauged basins with similar characteristics, which may exhibit comparable total runoff volumes for the same rainfall event but not necessarily equivalent flood hydrographs.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
AIMS Press
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
UNIT HYDROGRAPH
dc.subject
NRCS-UH
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GIUH
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FLOOD ASSESSMENT
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DRYLAND BASINS
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NAPOSTA GRANDE
dc.subject.classification
Geografía Física
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.subject.classification
Oceanografía, Hidrología, Recursos Hídricos
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Comparison of synthetic unit hydrograph methods for flood assessment in a dryland, poorly gauged basin (Napostá Grande, Argentina)
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-10-16T10:54:38Z
dc.journal.volume
11
dc.journal.number
1
dc.journal.pagination
27-46
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Casado, Ana Lia. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Provincia de Buenos Aires. Dirección General de Cultura y Educación. Universidad Provincial del Sudoeste. Centro de Emprendedorismo y Desarrollo Territorial Sustentable; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
dc.description.fil
Fil: López, Natalia C.. Universidad Nacional del Sur. Departamento de Ingeniería. Laboratorio de Hidraulica; Argentina
dc.journal.title
AIMS Geosciences
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.aimspress.com/article/doi/10.3934/geosci.2025003
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3934/geosci.2025003
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