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Luis Garrote   Dr.  University Educator/Researcher 
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Luis Garrote published an article in June 2018.
Research Keywords & Expertise See all
0 A
0 Adaptation
0 Climate Change
0 Europe
0 Flood
0 Methodology
Top co-authors See all
R. Sanchez

226 shared publications

Instituto Gregorio Millán, Universidad Carlos III de Madrid, E-28911 Leganés, Madrid, Spain

Paulo Cesar Barbosa

176 shared publications

Centro de Biotecnologia Agrícola e Agro-alimentar do Alentejo (CEBAL) / Instituto Politécnico de Beja (IPBeja), Beja 7801-908, Portugal

Joao A. Paulo

118 shared publications

Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States

J. Bech

114 shared publications

Department of Applied Physics—Meteorology, University of Barcelona, 08007 Barcelona, Spain

K. Nicolaides

106 shared publications

Harris Birthright Research Centre of Fetal Medicine, King's College Hospital, London, United Kingdom

74
Publications
142
Reads
6
Downloads
287
Citations
Publication Record
Distribution of Articles published per year 
(1970 - 2017)
Total number of journals
published in
 
30
 
Publications See all
Article 0 Reads 0 Citations Country-level assessment of future risk of water scarcity in Europe Luis Garrote, Ana Iglesias, Alfredo Granados Published: 05 June 2018
Proceedings of the International Association of Hydrological Sciences, doi: 10.5194/piahs-379-455-2018
DOI See at publisher website ABS Show/hide abstract
A methodology for regional assessment of current and future water availability in Europe is presented in this study. The methodology is based on a proposed indicator of risk of water scarcity based on the projections of runoff and water availability for European countries. The risk of water scarcity is the combined result of hydrological processes, which determine streamflow in natural conditions, and human intervention, which determines water management using the available hydraulic infrastructure and establishes water supply conditions through operating rules. Model results show that changes in runoff and availability obtained for individual GCM projections can be large and even contradictory. These heterogeneous results are summarized in the water scarcity risk index, a global value that accounts for the results obtained with the ensemble of model results and emission scenarios. The countries at larger risk are (in this order) Spain, Portugal, Macedonia, Greece, Bulgaria, Albania, France and Italy. They are mostly Mediterranean countries already exposed to significant water scarcity problems. There are countries, like Slovakia, Ireland, Belgium, Luxembourg, Croatia and Romania, with mild risk. Northern Arctic countries, like Sweden, Finland, Norway and Russia, show a robust however mild increase in water availability.
Article 4 Reads 1 Citation Analysis of Current and Future SPEI Droughts in the La Plata Basin Based on Results from the Regional Eta Climate Model Alvaro Sordo-Ward, María Dolores Bejarano, Ana Iglesias, Víc... Published: 04 November 2017
Water, doi: 10.3390/w9110857
DOI See at publisher website ABS Show/hide abstract
We identified and analysed droughts in the La Plata Basin (divided into seven sub-basins) for the current period (1961–2005) and estimated their expected evolution under future climate projections for the periods 2011–2040, 2041–2070, and 2071–2099. Future climate projections were analysed from results of the Eta Regional Climate Model (grid resolution of approximately 10 km) forced by the global climate model HadGEM2-ES over the La Plata basin, and considering a RCP4.5 emission scenario. Within each sub-basin, we particularly focused our drought analyses on croplands and grasslands, due to their economic relevance. The three-month Standardized Precipitation Evapotranspiration Index (SPEI3) was used for drought identification and characterization. Droughts were evaluated in terms of time (percentage of time from the total length of each climate scenario), space (percentage of total area), and severity (SPEI3 values) of cells characterized by cropland and grassland for each sub-basin and climate scenario. Drought-severity–area–frequency curves were developed to quantitatively relate the frequency distribution of drought occurrence to drought severity and area. For the period 2011–2040, droughts dominate the northern sub-basins, whereas alternating wet and short dry periods dominate the southern sub-basins. Wet climate spread from south to north within the La Plata Basin as more distant future scenarios were analysed, due to both a greater number of wet periods and fewer droughts. The area of each sub-basin affected by drought in all climate scenarios was highly varied temporally and spatially. The likelihood of the occurrence of droughts differed significantly between the studied cover types in the Lower Paraguay sub-basin, being higher for cropland than for grassland. Mainly in the Upper Paraguay and in the Upper Paraná basins the climate projections for all scenarios showed an increase of moderate and severe droughts over large regions dedicated to crops and grasses. On the other hand, for the near future, the Lower Uruguay and the River Plata basins showed a decrease of drought severity compared to the current period. Projections suggest an increase in competition among uses in these regions and the need for a potential relocation of certain crops from the northern regions towards cooler regions located in the centre and south. Further research should consider other climate projections and perform high spatial resolution studies in localized areas.
PROCEEDINGS-ARTICLE 3 Reads 0 Citations Short-range gait pattern analysis for potential applications on assistive robotics Joao Paulo, Luis Garrote, Alireza Asvadi, Cristiano Premebid... Published: 01 August 2017
2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), doi: 10.1109/roman.2017.8172288
DOI See at publisher website
Article 3 Reads 5 Citations Managing Water Resources to Adapt to Climate Change: Facing Uncertainty and Scarcity in a Changing Context Luis Garrote Published: 15 June 2017
Water Resources Management, doi: 10.1007/s11269-017-1714-6
DOI See at publisher website
Article 3 Reads 2 Citations A Parametric Flood Control Method for Dams with Gate-Controlled Spillways Alvaro Sordo-Ward, Ivan Gabriel-Martin, Paola Bianucci, Luis... Published: 28 March 2017
Water, doi: 10.3390/w9040237
DOI See at publisher website ABS Show/hide abstract
The study presents a method which can be used to define real-time operation rules for gated spillways (named the K-Method). The K-Method is defined to improve the performance of the Volumetric Evaluation Method (VEM), by adapting it to the particular conditions of the basin, the reservoir, or the spillway. The VEM was proposed by the Spanish engineer Fernando Girón in 1988 and is largely used for the specification of dam management rules during floods in Spain. This method states that outflows are lower than or equal to antecedent inflows, outflows increase when inflows increase, and the higher the reservoir level, the higher the percentage of outflow increase. The K-Method was developed by modifying the VEM and by including a K parameter which affects the released flows. A Monte Carlo environment was developed to evaluate the method under a wide range of inflow conditions (100,000 hydrographs) and with return periods ranging from one to 10,000 years. The methodology was applied to the Talave reservoir, located in the South-East of Spain. The results show that K-values higher than one always reduce the maximum reservoir levels reached in the dam. For K-values ranging from one to ten, and for inflow hydrographs with return periods higher than 100 years, we found a decrease in the maximum levels and outflows, when compared to the VEM. Finally, by carrying out a dam risk analysis, a K-value of 5.25 reduced the expected annual damage by 8.4% compared to the VEM, which represents a lowering of 17.3% of the maximum possible reduction, determined by the application of an optimizer based on mixed integer linear programming (MILP method).
Article 3 Reads 0 Citations Statistical Dependence of Pipe Breaks on Explanatory Variables Patricia Gómez-Martínez, Francisco Cubillo, Francisco J. Mar... Published: 24 February 2017
Water, doi: 10.3390/w9030158
DOI See at publisher website ABS Show/hide abstract
Aging infrastructure is the main challenge currently faced by water suppliers. Estimation of assets lifetime requires reliable criteria to plan assets repair and renewal strategies. To do so, pipe break prediction is one of the most important inputs. This paper analyzes the statistical dependence of pipe breaks on explanatory variables, determining their optimal combination and quantifying their influence on failure prediction accuracy. A large set of registered data from Madrid water supply network, managed by Canal de Isabel II, has been filtered, classified and studied. Several statistical Bayesian models have been built and validated from the available information with a technique that combines reference periods of time as well as geographical location. Statistical models of increasing complexity are built from zero up to five explanatory variables following two approaches: a set of independent variables or a combination of two joint variables plus an additional number of independent variables. With the aim of finding the variable combination that provides the most accurate prediction, models are compared following an objective validation procedure based on the model skill to predict the number of pipe breaks in a large set of geographical locations. As expected, model performance improves as the number of explanatory variables increases. However, the rate of improvement is not constant. Performance metrics improve significantly up to three variables, but the tendency is softened for higher order models, especially in trunk mains where performance is reduced. Slight differences are found between trunk mains and distribution lines when selecting the most influent variables and models.
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