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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
28/11/2019 |
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Actualizado : |
21/09/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
NAVAS, R.; AALONSO, J.; GORGOGLIONE, A.; VERVOORT, R. W. |
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Afiliación : |
RAFAEL NAVAS NÚÑEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JIMENA ALONSO, Institute of Fluid Mechanics and Environmental Engineering, School of Engineering, Universidad de la República, Montevideo, Uruguay; ANGELA GORGOGLIONE, Institute of Fluid Mechanics and Environmental Engineering, School of Engineering, Universidad de la República, Montevideo, Uruguay; R. WILLEM VERVOORT, School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia. |
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Título : |
Identifying climate and human impact trends in streamflow: A case study in Uruguay. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Water (Switzerland), 1 July 2019, Volume 11, Issue 7, Article number 1433. OPEN ACCESS. DOI: https://doi.org/10.3390/w11071433 |
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ISSN : |
2073-4441 |
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DOI : |
10.3390/w11071433 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 17 June 2019 / Revised: 6 July 2019 / Accepted: 9 July 2019 / Published: 12 July 2019.
This article belongs to the Special Issue Impacts of Climate Change and Anthropogenic Activities on the Spatio-Temporal Variability of River Flow: https://www.mdpi.com/journal/water/special_issues/Spatio-temporal_Variability_River_Flow |
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Contenido : |
ABSTRACT.
Land use change is an important driver of trends in streamflow. However, the effects are often difficult to disentangle from climate effects. The aim of this paper is to demonstrate that trends in streamflow can be identified by analysing residuals of rainfall-runoff simulations using a Generalized Additive Mixed Model. This assumes that the rainfall-runoff model removes the average climate forcing from streamflow. The case study involves the Santa Lucía river (Uruguay), the GR4J rainfall-runoff model, three nested catchments ranging from 690 to 4900 km 2 and 35 years of observations (1981?2016). Two exogenous variables were considered to influence the streamflow. Using satellite data, growth in forest cover was identified, while the growth in water licenses was obtained from the water authority. Depending on the catchment, effects of land use change differ, with the largest catchment most impacted by afforestation, while the middle size catchment was more influenced by the growth in water licenses. |
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Palabras claves : |
Climate models; GR4J; HYDROLOGY; Land use change; Statistical hydrology; Trend identification. |
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Asunto categoría : |
P10 Recursos hídricos y su ordenación |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13859/1/water-11-01433.pdf
https://www.mdpi.com/2073-4441/11/7/1433/pdf
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Marc : |
LEADER 02185naa a2200265 a 4500
001 1060476
005 2020-09-21
008 2019 bl uuuu u00u1 u #d
022 $a2073-4441
024 7 $a10.3390/w11071433$2DOI
100 1 $aNAVAS, R.
245 $aIdentifying climate and human impact trends in streamflow$bA case study in Uruguay.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: 17 June 2019 / Revised: 6 July 2019 / Accepted: 9 July 2019 / Published: 12 July 2019. This article belongs to the Special Issue Impacts of Climate Change and Anthropogenic Activities on the Spatio-Temporal Variability of River Flow: https://www.mdpi.com/journal/water/special_issues/Spatio-temporal_Variability_River_Flow
520 $aABSTRACT. Land use change is an important driver of trends in streamflow. However, the effects are often difficult to disentangle from climate effects. The aim of this paper is to demonstrate that trends in streamflow can be identified by analysing residuals of rainfall-runoff simulations using a Generalized Additive Mixed Model. This assumes that the rainfall-runoff model removes the average climate forcing from streamflow. The case study involves the Santa Lucía river (Uruguay), the GR4J rainfall-runoff model, three nested catchments ranging from 690 to 4900 km 2 and 35 years of observations (1981?2016). Two exogenous variables were considered to influence the streamflow. Using satellite data, growth in forest cover was identified, while the growth in water licenses was obtained from the water authority. Depending on the catchment, effects of land use change differ, with the largest catchment most impacted by afforestation, while the middle size catchment was more influenced by the growth in water licenses.
653 $aClimate models
653 $aGR4J
653 $aHYDROLOGY
653 $aLand use change
653 $aStatistical hydrology
653 $aTrend identification
700 1 $aAALONSO, J.
700 1 $aGORGOGLIONE, A.
700 1 $aVERVOORT, R. W.
773 $tWater (Switzerland), 1 July 2019, Volume 11, Issue 7, Article number 1433. OPEN ACCESS. DOI: https://doi.org/10.3390/w11071433
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Registro original : |
INIA Las Brujas (LB) |
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| Registros recuperados : 2 | |
| 1. |  | NAVAS, R.; GAMAZO, P.; VERVOORT, R.W. Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model. [Conference paper]. IAHS Scientific Assembly 2022 - Hydrological Sciences in the Anthropocene, IAHS 2022, Montpellier (France), 29 May - 3 June 2022. In: Proceedings of the International Association of Hydrological Sciences (IAHS), 2024, Volume 385, Pages 399-406. https://doi.org/10.5194/piahs-385-399-2024 -- OPEN ACCESS. 2199-8981 Article history: Received 13 May 2022, Revised 30 May 2023, Accepted 28 August 2023, Published 19 April 2024. -- Correspondence: : Rafael Navas (rafaelnavas23@gmail.com) -- Source type: Conference Proceedings. -- Document type: Conference...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 2 | |
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