Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations

The modeling of the El Negro creek basin, which is a sub-basin of the Sauce Grande River in the province of Buenos Aires, is presented based on previous calibrations. Data were transferred to QGIS to systematize various information sources. HEC-HMS software was implemented using the Soil Conservatio...

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Autores principales: Fernández, Sandra Noemí, Pérez, Daniel Enrique, Fagoaga, Nicolás Daniel, Abalo, Pablo Oscar, Flores, Miguel Ángel
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Geografía (IGUNNE) 2025
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Acceso en línea:https://revistas.unne.edu.ar/index.php/geo/article/view/8444
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spelling I48-R154-article-84442025-12-30T21:13:52Z Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations Implementation of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina Aplicación del HEC-HMS en la cuenca del arroyo El Negro, Buenos Aires, Argentina, para determinar parámetros hidrológicos por medio de simulaciones Fernández, Sandra Noemí Pérez, Daniel Enrique Fagoaga, Nicolás Daniel Abalo, Pablo Oscar Flores, Miguel Ángel Arroyo El Negro HEC-HMS simulación hidrológica recursos hídricos El Negro creek HEC-HMS hydrological simulation water resources The modeling of the El Negro creek basin, which is a sub-basin of the Sauce Grande River in the province of Buenos Aires, is presented based on previous calibrations. Data were transferred to QGIS to systematize various information sources. HEC-HMS software was implemented using the Soil Conservation Service curve number method, the Muskingum method for flood flow, and the Kirpich formula for sub-basin times of concentration. The reference hydrographs were obtained from the calibration results of the upper Sauce Grande River basin model, upstream of the Paso de las Piedras Reservoir. Excellent to good fits were achieved for all nine events. The model is a unique contribution to the study basin, as no previous hydrological simulations are known. Se presenta la modelación de la cuenca del arroyo El Negro, que es una subcuenca del río Sauce Grande en la provincia de Buenos Aires, en base a calibraciones previas. Se introdujeron los datos a QGIS para sistematizar diversas fuentes de información. Se implementó el software HEC-HMS con el método del número de curva del Soil Conservation Service, el método de Muskingum para el tránsito de crecida y la fórmula de Kirpich para los tiempos de concentración de las subcuencas. Los hidrogramas de referencia fueron los obtenidos de los resultados de la calibración del modelo cuenca alta del río Sauce grande aguas arriba del embalse Paso de las Piedras. Se lograron ajustes excelentes a buenos para los 9 eventos.  El modelo es un aporte original para la cuenca en estudio, ya que no se conocen antecedentes de simulaciones hidrológicas. Instituto de Geografía (IGUNNE) 2025-12-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unne.edu.ar/index.php/geo/article/view/8444 10.30972/geo.22448444 Geográfica digital; Vol. 22 No. 44 (2025); 79-92 Geográfica digital; Vol. 22 Núm. 44 (2025); 79-92 Geográfica digital; v. 22 n. 44 (2025); 79-92 1668-5180 spa https://revistas.unne.edu.ar/index.php/geo/article/view/8444/8627 Derechos de autor 2025 Geográfica digital http://creativecommons.org/licenses/by-nc/4.0
institution Universidad Nacional del Nordeste
institution_str I-48
repository_str R-154
container_title_str Revistas UNNE - Universidad Nacional del Noroeste (UNNE)
language Español
format Artículo revista
topic Arroyo El Negro
HEC-HMS
simulación hidrológica
recursos hídricos
El Negro creek
HEC-HMS
hydrological simulation
water resources
spellingShingle Arroyo El Negro
HEC-HMS
simulación hidrológica
recursos hídricos
El Negro creek
HEC-HMS
hydrological simulation
water resources
Fernández, Sandra Noemí
Pérez, Daniel Enrique
Fagoaga, Nicolás Daniel
Abalo, Pablo Oscar
Flores, Miguel Ángel
Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
topic_facet Arroyo El Negro
HEC-HMS
simulación hidrológica
recursos hídricos
El Negro creek
HEC-HMS
hydrological simulation
water resources
author Fernández, Sandra Noemí
Pérez, Daniel Enrique
Fagoaga, Nicolás Daniel
Abalo, Pablo Oscar
Flores, Miguel Ángel
author_facet Fernández, Sandra Noemí
Pérez, Daniel Enrique
Fagoaga, Nicolás Daniel
Abalo, Pablo Oscar
Flores, Miguel Ángel
author_sort Fernández, Sandra Noemí
title Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
title_short Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
title_full Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
title_fullStr Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
title_full_unstemmed Application of HEC-HMS in the El Negro Stream basin, Buenos Aires, Argentina, to determine hydrological parameters through simulations
title_sort application of hec-hms in the el negro stream basin, buenos aires, argentina, to determine hydrological parameters through simulations
description The modeling of the El Negro creek basin, which is a sub-basin of the Sauce Grande River in the province of Buenos Aires, is presented based on previous calibrations. Data were transferred to QGIS to systematize various information sources. HEC-HMS software was implemented using the Soil Conservation Service curve number method, the Muskingum method for flood flow, and the Kirpich formula for sub-basin times of concentration. The reference hydrographs were obtained from the calibration results of the upper Sauce Grande River basin model, upstream of the Paso de las Piedras Reservoir. Excellent to good fits were achieved for all nine events. The model is a unique contribution to the study basin, as no previous hydrological simulations are known.
publisher Instituto de Geografía (IGUNNE)
publishDate 2025
url https://revistas.unne.edu.ar/index.php/geo/article/view/8444
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