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Aplicación del modelo gr4j para simular eventos extremos en subcuencas no instrumentadas del Río Sumapaz

Authors: Huertas-Romero, Giovanny;

Aplicación del modelo gr4j para simular eventos extremos en subcuencas no instrumentadas del Río Sumapaz

Abstract

1. INTRODUCCIÓN 2. PLANTEAMIENTO DEL PROBLEMA 3. ANTECEDENTES 4. JUSTIFICACIÓN 5. PLANTEAMIENTO Y FORMULACIÓN DE LA PREGUNTA 6. OBJETIVOS 7. ESTADO DEL ARTE 8. MARCO TEÓRICO Y CONCEPTUAL 9. LOCALIZACIÓN Y ÁREA DE ESTUDIO 10. METODOLOGÍA 11. DESARROLLO DEL TRABAJO Y CÁLCULOS 12. CÁLCULOS 13. VALIDACIÓN DEL MODELO GR4J 14. ANÁLISIS DE RESULTADOS 15. APLICACIÓN GR4J PARA ESTIMAR PARAMETROS HIDROLOGICOS EN ZONAS NO INSTRUMENTADAS 16. CONCLUSIONES 17. RECOMENDACIONES BIBLIOGRAFÍA ANEXOS

En el presente trabajo se recopilará y procesará información de cuencas a las cuales se realiza seguimiento con estaciones de monitoreo ambiental, para estudiar subcuencas no instrumentadas y conocer y estimar parte de sus características hidrológicas. (Tomado de la fuente).

Trabajo de investigación

Ingeniero Civil

Pregrado

Country
Colombia
Related Organizations
Keywords

Recursos hidrológicos, Calibración, Instrumentación, 620 - Ingeniería y operaciones afines::624 - Ingeniería civil, Ríos-Sumapaz (Cundinamarca, Colombia), Cuencas hidrográficas, Modelo, Caudal, Ríos-Colombia, Precipitación

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green