Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile

We used the lumped rainfall–runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J and GR6J) to evaluate the most robust model for simulating discharge on four forested small catchments (<40 ha) in south-central Chile. Different evapotranspiration methods were evaluated:...

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Autores principales: Neftali Flores, Rolando Rodríguez, Santiago Yépez, Victor Osores, Pedro Rau, Diego Rivera, Francisco Balocchi
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:41ff7b1f0d634421a50f934dbaf10bbd2021-11-25T19:15:24ZComparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile10.3390/w132231912073-4441https://doaj.org/article/41ff7b1f0d634421a50f934dbaf10bbd2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3191https://doaj.org/toc/2073-4441We used the lumped rainfall–runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J and GR6J) to evaluate the most robust model for simulating discharge on four forested small catchments (<40 ha) in south-central Chile. Different evapotranspiration methods were evaluated: Oudin, Hargreaves–Samani and Priestley–Taylor. Oudin’s model allows the achievement of the highest efficiencies in the flow simulation. The more sensitive parameters for each model were identified through a Generalized Probability Uncertainty Estimation (GLUE) model. Our results demonstrate that the three hydrological models were capable of efficiently simulating flow in the four study catchments. However, the GR6J model obtained the most satisfactory results in terms of simulated to measured streamflow closeness. In general, the three models tended to underestimate peak flow, as well as underestimate and overestimate flow events in most of the in situ observations, according to the probability of non-exceedance. We also evaluated the models’ performance in a simulation of summer discharge due to the importance of downstream water supply in the months of greatest scarcity. Again, we found that GR6J obtained the most efficient simulations.Neftali FloresRolando RodríguezSantiago YépezVictor OsoresPedro RauDiego RiveraFrancisco BalocchiMDPI AGarticlehydrological modelssmall catchmentplantations<i>Pinus radiata</i><i>Nothofagus glauca</i><i>Eucalyptus nitens</i>Hydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3191, p 3191 (2021)
institution DOAJ
collection DOAJ
language EN
topic hydrological models
small catchment
plantations
<i>Pinus radiata</i>
<i>Nothofagus glauca</i>
<i>Eucalyptus nitens</i>
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle hydrological models
small catchment
plantations
<i>Pinus radiata</i>
<i>Nothofagus glauca</i>
<i>Eucalyptus nitens</i>
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Neftali Flores
Rolando Rodríguez
Santiago Yépez
Victor Osores
Pedro Rau
Diego Rivera
Francisco Balocchi
Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
description We used the lumped rainfall–runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J and GR6J) to evaluate the most robust model for simulating discharge on four forested small catchments (<40 ha) in south-central Chile. Different evapotranspiration methods were evaluated: Oudin, Hargreaves–Samani and Priestley–Taylor. Oudin’s model allows the achievement of the highest efficiencies in the flow simulation. The more sensitive parameters for each model were identified through a Generalized Probability Uncertainty Estimation (GLUE) model. Our results demonstrate that the three hydrological models were capable of efficiently simulating flow in the four study catchments. However, the GR6J model obtained the most satisfactory results in terms of simulated to measured streamflow closeness. In general, the three models tended to underestimate peak flow, as well as underestimate and overestimate flow events in most of the in situ observations, according to the probability of non-exceedance. We also evaluated the models’ performance in a simulation of summer discharge due to the importance of downstream water supply in the months of greatest scarcity. Again, we found that GR6J obtained the most efficient simulations.
format article
author Neftali Flores
Rolando Rodríguez
Santiago Yépez
Victor Osores
Pedro Rau
Diego Rivera
Francisco Balocchi
author_facet Neftali Flores
Rolando Rodríguez
Santiago Yépez
Victor Osores
Pedro Rau
Diego Rivera
Francisco Balocchi
author_sort Neftali Flores
title Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
title_short Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
title_full Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
title_fullStr Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
title_full_unstemmed Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile
title_sort comparison of three daily rainfall-runoff hydrological models using four evapotranspiration models in four small forested watersheds with different land cover in south-central chile
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/41ff7b1f0d634421a50f934dbaf10bbd
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