Fecha/hora: 06/06/2024 05:36:11

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	28/11/2019	
Fecha de la última actualización: 	21/09/2020	
Autoria: 	NAVAS, R.; AALONSO, J.; GORGOGLIONE, A.; VERVOORT, R. W.	
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.	
Título: 	Identifying climate and human impact trends in streamflow: A case study in Uruguay.	
Año de publicación: 	2019	
Fuente/Imprenta: 	Water (Switzerland), 1 July 2019, Volume 11, Issue 7, Article number 1433. OPEN ACCESS. DOI: https://doi.org/10.3390/w11071433	
ISSN: 	2073-4441	
DOI: 	10.3390/w11071433	
Idioma: 	Inglés	
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	
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.	
Palabras-Clave: 	Climate models; GR4J; HYDROLOGY; Land use change; Statistical hydrology; Trend identification.	
Categoría del tema: 	P10 Recursos hídricos y su ordenación	
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	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (102013-1) - PXI - AP - DD - PP/Water (Switzerland)/2019 -  -  - DIS