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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 : 5 | |
| 1. |  | NAVAS, R.; TISCORNIA, G.; BERGER, A.; OTERO, A. Assessing MODIS16A2 actual evapotranspiration across three spatial resolutions in Uruguay. [Evaluación de la evapotranspiración de MODIS16A2 en tres resoluciones espaciales en Uruguay.]. [Avaliação do producto da evapotranspiração MODIS16A2 em três resoluções espaciais no Uruguai.] Section: Natural and environmental resources. Agrociencia Uruguay, 2021, vol. 25, n.2, article e429. Doi: https://doi.org/10.31285/AGRO.25.429 Article history: Received 22 Oct 2020; Accepted 04 May 2021; Published 26 Jun 2021.
Editor: Mónica M. Barbazán, Universidad de la República, Montevideo, Uruguay.
Correspondence: Rafael Navas, mail: rafaelnavas23@gmail.com| Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 3. | | NAVAS, R.; MONETTA, A.; ROEL, A.; BLANCO, N.; GIL, A.; GAMAZO, P. Flume calibration on irrigated systems by video image processing and bayesian inference. [Calibración de canales aforadores en sistemas irrigados mediante el procesamiento de imágenes de video y la inferencia bayesiana.]. [Calibração de calhas da vazão em sistemas irrigados por processamento de imagens de vídeo e inferência bayesiana.]. Advances in Water in Agroscience. Integrated catchment management. Agrociencia Uruguay, 2023, Vol.27(NE1), e1182. https://doi.org/10.31285/AGRO.27.1182 -- OPEN ACCESS. Article history: Received 22 April 2023; Accepted 17 August 2023; Published 06 February 2024. -- Editor: Ángela Gorgoglione, Universidad de la República, Montevideo, Uruguay. -- Correspondence: Rafael Navas, rafaelnavas23@gmail.com --...| Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : Nacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 4. | | HASTINGS, F.; FUENTES, I.; PÉREZ-BIDEGAIN, M.; NAVAS, R.; GORGOGLIONE, A. Land-cover mapping of agricultural areas using machine learning in Google Earth engine. (Conference paper) In: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. International Conference on Computational Science and Its Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_52 Article history: First Online 29 September 2020. Volume Editors: Gervasi O.,Murgante B.,Misra S. .,Garau C.,Blecic I.,Taniar D.,Apduhan B.O.,Rocha A.M.A.C.,Tarantino E.,Torre C.M.,Karaca Y. Publisher: Springer Science and Business Media...| Tipo: Capítulo en Libro Técnico-Científico |
| Biblioteca(s): INIA Las Brujas. |
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| 5. | | GELÓS, M.; NEIGHBUR, N.; KOK, P.; BADANO, L.; HASTINGS, F.; NERVI, E.; ALONSO, J.; NAVAS, R.; VERVOORT, W.; BAETHGEN, W. On the prediction of phosphorus fluxes in the santa lucía basin under different land use and management practices using swat model. [abstract] Theme 5 - Impact of phosphorus on environmental quality and on biodiversity. Oral presentation. In: Michelini, D.; Garaycochea, S. (Eds.). 7th Phosphorus in Soils and Plants Symposium (PSP7). "Towards a sustainable phosphorus utilization in agroecosystems." Book of abstracts. PSP7, 3-7 October 2022, Montevideo, Uruguay. p.81. Published By: The organizing committee of the 7th Symposium on Phosphorus in Soils and Plants (PSP7)- National Agricultural Research Institute and School of Agronomy, Universidad de la República, Uruguay.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 5 | |
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