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Paola Bianucci  - - - 
Top co-authors
Luis Garrote

103 shared publications

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

Alfredo Granados

10 shared publications

Universidad Politécnica de Madrid; Madrid Spain

Alvaro Sordo-Ward

9 shared publications

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

Iván Gabriel-Martin

2 shared publications

Universidad Politécnica de Madrid

7
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Publication Record
Distribution of Articles published per year 
(2013 - 2018)
Total number of journals
published in
 
5
 
Publications See all
BOOK-CHAPTER 0 Reads 1 Citation Drought Vulnerability Under Climate Change: A Case Study in La Plata Basin Alvaro Sordo-Ward, María D. Bejarano, Luis Garrote, Victor A... Published: 24 August 2018
Drought, doi: 10.1002/9781119017073.ch7
DOI See at publisher website
Article 5 Reads 4 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).
PROCEEDINGS-ARTICLE 18 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
Proceedings of 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.
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
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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 3 Reads 3 Citations Probabilistic-Multiobjective Comparison of User-Defined Operating Rules. Case Study: Hydropower Dam in Spain Paola Bianucci, Álvaro Sordo-Ward, Javier Moralo, Luis Garro... Published: 10 March 2015
Water, doi: 10.3390/w7030956
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A useful tool is proposed in this paper to assist dam managers in comparing and selecting suitable operating rules. This procedure is based on well-known multiobjective and probabilistic methodologies, which were jointly applied here to assess and compare flood control strategies in hydropower reservoirs. The procedure consisted of evaluating the operating rules’ performance using a simulation fed by a representative and sufficiently large flood event series. These flood events were obtained from a synthetic rainfall series stochastically generated by using the RainSimV3 model coupled with a deterministic hydrological model. The performance of the assessed strategies was characterized using probabilistic variables. Finally, evaluation and comparison were conducted by analyzing objective functions which synthesize different aspects of the rules’ performance. These objectives were probabilistically defined in terms of risk and expected values. To assess the applicability and flexibility of the tool, it was implemented in a hydropower dam located in Galicia (Northern Spain). This procedure allowed alternative operating rule to be derived which provided a reasonable trade-off between dam safety, flood control, operability and energy production.
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
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