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Alfredo Granados   Dr.   
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Alfredo Granados published an article in August 2018.
Top co-authors See all
Luis Garrote

103 shared publications

Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, 28040 Madrid, Spain

Ana Iglesias

57 shared publications

Department of Agricultural Economics & CEIGRAM, Universidad Politécnica de Madrid, Madrid 28040, Spain

Silvia Silvestri

15 shared publications

International Livestock Research Institute (ILRI), PO Box 30790, Nairobi, 00100, Kenya

Francisco Martin-Carrasco

13 shared publications

Technical University of Madrid

Alvaro Sordo-Ward

9 shared publications

Department of Civil Engineering: Hydraulics, Energy and Environment, Universidad Politécnica de Madrid, Madrid 28040, Spain

10
Publications
22
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53
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Publication Record
Distribution of Articles published per year 
(2014 - 2018)
Total number of journals
published in
 
9
 
Publications See all
BOOK-CHAPTER 0 Reads 0 Citations On the Institutional Framework for Drought Planning and Early Action Ana Iglesias, Luis Garrote, Alfredo Granados Published: 24 August 2018
Drought, doi: 10.1002/9781119017073.ch5
DOI See at publisher website
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 6 Reads 2 Citations The Influence of the Annual Number of Storms on the Derivation of the Flood Frequency Curve through Event-Based Simulati... Alvaro Sordo-Ward, Paola Bianucci, Luis Garrote, Alfredo Gra... Published: 05 August 2016
Water, doi: 10.3390/w8080335
DOI See at publisher website ABS Show/hide abstract
This study addresses the question of how to select the minimum set of storms that should be simulated each year in order to estimate an accurate flood frequency curve for return periods ranging between 1 and 1000 years. The Manzanares basin (Spain) was used as a study case. A continuous 100,000-year hourly rainfall series was generated using the stochastic spatial–temporal model RanSimV3. Individual storms were extracted from the series by applying the exponential method. For each year, the extracted storms were transformed into hydrographs by applying an hourly time-step semi-distributed event-based rainfall–runoff model, and the maximum peak flow per year was determined to generate the reference flood frequency curve. Then, different flood frequency curves were obtained considering the N storms with maximum rainfall depth per year, with 1 ≤ N ≤ total number of storms. Main results show that: (a) the degree of alignment between the calculated flood frequency curves and the reference flood frequency curve depends on the return period considered, increasing the accuracy for higher return periods; (b) for the analyzed case studies, the flood frequency curve for medium and high return period (50 ≤ return period ≤ 1000 years) can be estimated with a difference lower than 3% (compared to the reference flood frequency curve) by considering the three storms with the maximum total rainfall depth each year; (c) when considering only the greatest storm of the year, for return periods higher than 10 years, the difference for the estimation of the flood frequency curve is lower than 10%; and (d) when considering the three greatest storms each year, for return periods higher than 100 years, the probability of achieving simultaneously a hydrograph with the annual maximum peak flow and the maximum volume is 94%.
Article 0 Reads 2 Citations Strategies to reduce water stress in Euro-Mediterranean river basins Luis Garrote, Alfredo Granados, Ana Iglesias Published: 01 February 2016
Science of The Total Environment, doi: 10.1016/j.scitotenv.2015.04.106
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 1 Citation Adaptation of irrigation networks to climate change: Linking robust design and stakeholder contribution Alfredo Granados, Francisco J. Martín-Carrasco, Silvestre Ga... Published: 02 December 2015
Spanish Journal of Agricultural Research, doi: 10.5424/sjar/2015134-7549
DOI See at publisher website
Article 4 Reads 4 Citations How Safe is Hydrologic Infrastructure Design? Analysis of Factors Affecting Extreme Flood Estimation Alvaro Sordo-Ward, Paola Bianucci, Luis Garrote, Alfredo Gra... Published: 01 December 2014
Journal of Hydrologic Engineering, doi: 10.1061/(asce)he.1943-5584.0000981
DOI See at publisher website
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