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

58 shared publications

Universidad Politécnica de Madrid; Madrid Spain

David Pulido-Velazquez

22 shared publications

Departamento de Investigación en Recursos Geológicos, Instituto Geológico y Minero de España, Urb. Alcázar del Genil, 4. Edificio Zulema Bajo, 18006 Granada, Spain

Luis Mediero

19 shared publications

Department of Civil Engineering: Hydraulics, Energy and Environment, Technical University of Madrid, C/Profesor Aranguren s/n, 28040, Madrid, Spain

Álvaro Sordo-Ward

16 shared publications

Universidad Politécnica de Madrid

Francisco Martin-Carrasco

14 shared publications

Technical University of Madrid

64
Publications
125
Reads
8
Downloads
515
Citations
Publication Record
Distribution of Articles published per year 
(1970 - 2018)
Total number of journals
published in
 
27
 
Publications See all
Article 0 Reads 0 Citations Do users benefit from additional information in support of operational drought management decisions in the Ebro basin? Clara Linés, Ana Iglesias, Luis Garrote, Vicente Sotés, Mich... Published: 14 November 2018
Hydrology and Earth System Sciences, doi: 10.5194/hess-22-5901-2018
DOI See at publisher website ABS Show/hide abstract
We follow a user-based approach to examine how information supports operational drought management decisions in the Ebro basin and how these can benefit from additional information such as from remote sensing data. First we consulted decision-makers at basin, irrigation district and farmer scale to investigate the drought-related decisions they make and the information they use to support their decisions. This allowed us to identify the courses of action available to the farmers and water managers, and to analyse their choices as a function of the information they have available to them. Based on the findings of the consultation, a decision model representing the interrelated decisions of the irrigation association and the farmers was built. The purpose of the model is to quantify the effect of additional information on the decisions made. The modelled decisions, which consider the allocation of water, are determined by the expected availability of water during the irrigation season. This is currently informed primarily by observed reservoir level data. The decision model was then extended to include additional information on snow cover from remote sensing. The additional information was found to contribute to better decisions in the simulation and ultimately higher benefits for the farmers. However, the ratio between the cost of planting and the market value of the crop proved to be a critical aspect in determining the best course of action to be taken and the value of the (additional) information. Risk-averse farmers were found to benefit least from the additional information, while less risk-averse farmers stand to benefit most as the additional information helps them take better informed decisions when weighing their options.
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 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 3 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
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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
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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.
CONFERENCE-ARTICLE 15 Reads 0 Citations Rule operation model for dams with gate-controlled spillways Alvaro Sordo-Ward, Iván Gabriel-Martin, Paola Bianucci, Andr... Published: 24 November 2016
The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-a010
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The study develops a rule operation model for gated spillways which improves the performance of the volumetric evaluation method (MEV). MEV was proposed by Giron (1988) and is largely used in common practice in Spain. The improvement was made by applying a corrective factor to the outflow discharge proposed by MEV method. The choice of the corrective factor was based on a multi-decision environment accounting for the number of improved cases and the amount of improvement. A Monte Carlo simulation environment was created to evaluate the method under a wide range of operating conditions. The environment includes the generation of storms and inflow hydrographs and their routing through the reservoir. The methodology was applied to the Talave basin, in the south-east of Spain. The improved method (called K method) was compared with other methods for the operation of gate-controlled spillways as the MEV and PLEM methods. The results showed that if the corrective factor K is higher than 1 the number of improved cases was significant, while if it is lower than 1 there was not improvement. The analysis of the relation between the return period and the devised method showed that by using the K method the percentage of improvement of both reducing maximum outflows and reducing maximum levels reached in the reservoir is greater for events with higher return periods than for the lower ones.

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