SQRT-Exponential Type Distribution of Maximum

Etoh, Takeharu; Murota, Akira; Nakanishi, Masanori

doi:10.1007/978-94-009-3953-0_17

Cited by 36 publications

(32 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Precipitation return periods were derived from the statistical analysis of daily rainfall datasets, applying the two-parameter SQRT-exponential type distribution of maximum (SQRT-ET-max distribution) (Etoh, 1986). Sub-daily rainfall data was not available at the study site, thus return periods of daily rainfall (i.e.…”

Section: Hydrological Modelmentioning

confidence: 99%

Improvement of resilience of urban areas by integrating social perception in flash-flood risk management

Pozo

Amérigo

Díez‐Herrero

et al. 2016

Journal of Hydrology

131

View full text Add to dashboard Cite

Please cite this article as: Bodoque, J.M., Amerigo, M., Díez-Herrero, A., García, J.A., Cortés, B., BallesterosCánovas, J.A., Olcina, J., Improvement of resilience of urban areas by integrating social perception in flash-flood risk management, Journal of Hydrology (2016), doi: http://dx.doi.org/10. 1016/j.jhydrol.2016.02.005 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. AbstractIn urban areas prone to flash floods, characterization of social resilience is critical to guarantee the success of emergency management plans. In this study, we present the methodological approach that led to the submission and subsequent approval of the Civil Protection Plan of Navaluenga (Central Spain), in which the first phase was to analyse flood hazard by combining the Hydrological Modelling System (HEC-HMS) and the Iber 2D hydrodynamic model. We then analysed social vulnerability and designed measures to put into practice within the framework of the Civil Protection Plan. At a later phase, we assessed citizens' flash-flood risk perception and level of awareness regarding some key variables of the Civil Protection Plan. To this end, 254 adults representing roughly 12% of the population census were interviewed. Responses were analysed descriptively, comparing awareness regarding preparedness and response actions with the corresponding information 2 and behaviours previously defined in the Civil Protection Plan. In addition, we carried out a latent class cluster analysis aimed at identifying the different groups present among the interviewees. Our results showed that risk perception is low. Specifically, 60.8% of the interviewees showed low risk perception and low awareness (cluster 1);24.4% had high risk perception and low awareness (cluster 2), while the remaining 14.8% presented high long-term risk perception and high awareness (cluster 3).These findings suggest the need for integrating these key variables of social risk perception and local tailored information in emergency management plans, especially in urban areas prone to flash-floods where response times are limited.

show abstract

Section: Hydrological Modelmentioning

confidence: 99%

Improvement of resilience of urban areas by integrating social perception in flash-flood risk management

Pozo

Amérigo

Díez‐Herrero

et al. 2016

Journal of Hydrology

131

View full text Add to dashboard Cite

show abstract

“…The model stochastically generated a set of probability of exceedance values and their corresponding return periods. By applying an extremal distribution SQRT-Et max [48,49] function, intensity-duration-frequency curves (IDF) [50], and a stochastic rainfall temporal distribution [47], a set of hyetographs was generated. Afterwards, the set of storm events were transformed into hydrographs by applying the Curve Number method [51], the Soil Conservation Service dimensionless unit hydrograph procedure [51], and the Muskingum method [52].…”

Section: Rainfall Generation Hydrometeorological Model and Comparisomentioning

confidence: 99%

A Parametric Flood Control Method for Dams with Gate-Controlled Spillways

Sordo‐Ward

Gabriel-Martín

Bianucci³

et al. 2017

Water

View full text Add to dashboard Cite

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).

show abstract

“…The maximum daily precipitation associated with each value of p for each sub-catchment is estimated according to the extreme value distribution SQRT-ETmax [31,32]. For a selected storm duration D, the corresponding values of total rainfall volume are determined and based on the regionalized intensity-duration-frequency curves (IDF) proposed by the Spanish Ministry of Public Works [33] and recommended by the Spanish National Committee on Large Dams [34].…”

Section: Ensemble Of Flood Hydrograph Generationmentioning

confidence: 99%

Probabilistic-Multiobjective Comparison of User-Defined Operating Rules. Case Study: Hydropower Dam in Spain

Bianucci

Sordo‐Ward

Moralo

et al. 2015

Water

View full text Add to dashboard Cite

Abstract: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.

show abstract

SQRT-Exponential Type Distribution of Maximum

Cited by 36 publications

References 0 publications

Improvement of resilience of urban areas by integrating social perception in flash-flood risk management

Improvement of resilience of urban areas by integrating social perception in flash-flood risk management

A Parametric Flood Control Method for Dams with Gate-Controlled Spillways

Probabilistic-Multiobjective Comparison of User-Defined Operating Rules. Case Study: Hydropower Dam in Spain

Contact Info

Product

Resources

About