A Comparison of Flood Control Standards for Reservoir Engineering for Different Countries

Ren, Minglei; He, Xu; Kan, Guangyuan; Wang, Fan; Zhang, Hongbin; Li, Hui; Cao, Daling; Wang, Hong; Sun, Dongya; Jiang, Xiaoming; Wang, Gang; Zhang, Zhongbo

doi:10.3390/w9030152

Cited by 23 publications

(32 citation statements)

References 8 publications

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“…This assumption is not realistic and, depending on the initial conditions, the return period of the rainfall and the corresponding runoff can differ by orders of magnitude (e.g. Salazar et al, 2017). A reason for this is that flood events are often caused by a combination of factors, such as a high degree of soil saturation in the catchment, heavy rainfall and seasonal snowmelt.…”

Section: Introductionmentioning

confidence: 99%

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

Filipova

Lawrence

Skaugen

2019

Nat. Hazards Earth Syst. Sci.

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Abstract. The estimation of extreme floods is associated with high uncertainty, in part due to the limited length of streamflow records. Traditionally, statistical flood frequency analysis and an event-based model (PQRUT) using a single design storm have been applied in Norway. We here propose a stochastic PQRUT model, as an extension of the standard application of the event-based PQRUT model, by considering different combinations of initial conditions, rainfall and snowmelt, from which a distribution of flood peaks can be constructed. The stochastic PQRUT was applied for 20 small- and medium-sized catchments in Norway and the results give good fits to observed peak-over-threshold (POT) series. A sensitivity analysis of the method indicates (a) that the soil saturation level is less important than the rainfall input and the parameters of the PQRUT model for flood peaks with return periods higher than 100 years and (b) that excluding the snow routine can change the seasonality of the flood peaks. Estimates for the 100- and 1000-year return level based on the stochastic PQRUT model are compared with results for (a) statistical frequency analysis and (b) a standard implementation of the event-based PQRUT method. The differences in flood estimates between the stochastic PQRUT and the statistical flood frequency analysis are within 50 % in most catchments. However, the differences between the stochastic PQRUT and the standard implementation of the PQRUT model are much higher, especially in catchments with a snowmelt flood regime.

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Section: Introductionmentioning

confidence: 99%

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

Filipova

Lawrence

Skaugen

2019

Nat. Hazards Earth Syst. Sci.

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“…En la mayoría de países, para el estudio de la seguridad hidrológica de presas es necesario analizar avenidas representativas hasta un periodo de retorno de 10000 años (Ren et al, 2017). En el presente trabajo se utiliza una muestra de 100 000 hidrogramas, con la finalidad de obtener resultados representativos hasta un periodo de retorno de 10000 años (Loukas, 2002;Blazkova y Beven, 2004;Sordo-Ward et al, 2012).…”

Section: Generación Estocástica De Los Hidrogramas De Entradaunclassified

Influencia del nivel inicial en la definición de resguardos estacionales en presas

2018

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El estudio presenta una metodología de carácter estocástico para la definición de Normas de Explotación optimizando tanto la explotación ordinaria como la seguridad hidrológica de la presa. Además, la metodología permite tener en cuenta la variabilidad del nivel inicial en el embalse en el momento de avenida. El caso de estudio es una presa bóveda clasificada como tipo A en función del riesgo potencial cuyo principal uso es el regadío. En el caso de estudio, se ha determinado un conjunto de resguardos que, cumpliendo la normativa relativa a niveles máximos en el embalse, maximizan la demanda máxima atendible para una garantía volumétrica del 90%. Se ha observado que al tener en cuenta la variabilidad del nivel inicial en el momento de avenida, la presa del caso de estudio no necesita resguardos para cumplir la normativa, mientras que si se supone embalse lleno el volumen de resguardo es de 70 hm3 en una de las estaciones. La metodología presentada puede ser de utilidad para el análisis y priorización de inversiones en seguridad hidrológica de presas existentes.

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“…Another use of distributed hydrological models is the estimation of extreme floods for the design of civil infrastructures, such as bridges, levees, or dams. For these structures, it is necessary to estimate hydrographs of low probability of occurrence, that is, with return periods that go from hundreds to thousands of years in the case of dams [10]. Several methods can be applied and are mainly classified according to two main groups: Statistical flood frequency analysis, and derived flood frequency (DFF) simulation methods.…”

Section: Introductionmentioning

confidence: 99%

Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach

Gabriel-Martín

Sordo‐Ward

Garrote

et al. 2019

Water

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This paper focuses on proposing the minimum number of storms necessary to derive the extreme flood hydrographs accurately through event-based modelling. To do so, we analyzed the results obtained by coupling a continuous stochastic weather generator (the Advanced WEather GENerator) with a continuous distributed physically-based hydrological model (the TIN-based real-time integrated basin simulator), and by simulating 5000 years of hourly flow at the basin outlet. We modelled the outflows in a basin named Peacheater Creek located in Oklahoma, USA. Afterwards, we separated the independent rainfall events within the 5000 years of hourly weather forcing, and obtained the flood event associated to each storm from the continuous hourly flow. We ranked all the rainfall events within each year according to three criteria: Total depth, maximum intensity, and total duration. Finally, we compared the flood events obtained from the continuous simulation to those considering the N highest storm events per year according to the three criteria and by focusing on four different aspects: Magnitude and recurrence of the maximum annual peak-flow and volume, seasonality of floods, dependence among maximum peak-flows and volumes, and bivariate return periods. The main results are: (a) Considering the five largest total depth storms per year generates the maximum annual peak-flow and volume, with a probability of 94% and 99%, respectively and, for return periods higher than 50 years, the probability increases to 99% in both cases; (b) considering the five largest total depth storms per year the seasonality of flood is reproduced with an error of less than 4% and (c) bivariate properties between the peak-flow and volume are preserved, with an error on the estimation of the copula fitted of less than 2%.

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A Comparison of Flood Control Standards for Reservoir Engineering for Different Countries

Cited by 23 publications

References 8 publications

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

Influencia del nivel inicial en la definición de resguardos estacionales en presas

Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach

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