Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches

Razmi, Ali; Golian, Saeed; Zahmatkesh, Zahra

doi:10.1007/s11269-017-1619-4

Cited by 51 publications

(25 citation statements)

References 59 publications

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“…Some applications of nonstationary POT models can be found in the literature (e.g. Silva et al 2014, 2016, Prosdocimi et al 2015, Razmi et al 2017. The results show that using POT data appears to be more effective than using BM data for modeling the distribution of the maximum of hydrological extremes.…”

Section: Models Based On Pot Datamentioning

confidence: 92%

Techniques for assessing water infrastructure for nonstationary extreme events: a review

Salas

Obeysekera

Vogel

2018

Hydrological Sciences Journal

187

110

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Statistical and physically-based methods have been used for designing and assessing water infrastructure such as spillways and stormwater drainage systems. Traditional approaches assume that hydrological processes evolve in an environment where the hydrological cycle is stationary over time. However, in recent years, it has become increasingly evident that in many areas of the world the foregoing assumption may no longer apply, due to the effect of anthropogenic and climatic induced stressors that cause nonstationary conditions. This has attracted the attention of national and international agencies, research institutions, academia, and practicing water specialists, which has led to developing new techniques that may be useful in those cases where there is good evidence and attribution of nonstationarity. We review the various techniques proposed in the field and point out some of the challenges ahead in future developments and applications. Our review emphasizes hydrological design to protect against extreme events such as floods and low flows.

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Section: Models Based On Pot Datamentioning

confidence: 92%

Techniques for assessing water infrastructure for nonstationary extreme events: a review

Salas

Obeysekera

Vogel

2018

Hydrological Sciences Journal

187

110

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“…Annual maximum daily mean streamflow, i.e., the largest daily mean streamflow that occurs in each hydrological year, is the most common indicator for quantitatively describing the flood magnitude characteristics. In some studies [26,27], peak-over-threshold series were used, since they are considered to include more flood characteristic information, thus allowing to reveal better the temporal pattern of flood occurrence. Besides, lots of research on hydrological regime evaluations have mentioned that the magnitude duration of annual extreme flood conditions series can better reflect the characteristics of the relationship between duration and magnitude of flood process [28][29][30].…”

Section: Flood Characteristic Indicatorsmentioning

confidence: 99%

The Detection of Flood Characteristics Alteration Induced by the Danjiangkou Reservoir at Han River, China

Zhang

Feng

Zhang

et al. 2021

Water

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As one of the most common natural phenomena, floods can bring both risks and benefits for human beings. They can pose a risk of inundation to a human habitat but can also be utilized as a resource with hydraulic engineering. Improving the knowledge of flood characteristics is the basis and premise of improving water resources management and ecological environmental protection. Presently, the quantitative evaluation of flood characteristics needs to gradually evolve from a single indicator to a systematic one. In this paper, by introducing the concepts of ecohydrology on magnitude, frequency, and duration, a set of flood characteristics indicators evaluation system is constructed based on the hydrological characteristics for the section where Danjiangkou Reservoir is located at the middle reach of the Yangtze in China. The results showed that the Danjiangkou Reservoir has changed the flood characteristics to a great extent both of seasonal or annual floods, and the mean degree of the flood characteristic alteration indicators is about 19%. The changing trend of the flood indicators upstream showed an increasing trend from the 1970s to 2010s, while downstream were divided into two periods by the year of about 1975. The methodological system provided by this paper can effectively evaluate flood characteristics quantitatively, provide technical guidance and a useful reference for flood process analysis, and provide support for flood management and river ecosystem protection.

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“…The stationarity of data, although in most of the cases implicitly supposed, is questionable due to land cover and land use changes or of climate change [42]. Statistical tests like Wald-Wolfowitz,…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Based Design Floods

Drobot¹,

Af²,

Ciuiu³

et al. 2021

Preprint

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Many statistical distributions approximate well the frequent values of the maximum discharges, but have a very large spread for medium or rare probabilities of exceedance. This scattering defines a range of uncertainty of maximum discharges outside the measured values. Based on the upper (U) and lower (L) values of the uncertainty interval, a maximum discharge flood (MDF) and a maximum volume flood (MVF) are defined for each probability of exceedance. This approach is in agreement with the bivariate analysis, the contour lines for a certain probability of exceedance putting into evidence an infinity of couples (maximum discharge, flood volume). If the most critical combinations are selected, the MDF and MVF are derived. Apart from maximum discharge and flood volume, the shape of the design flood, characterized by the time to peak and the total duration, is also important. The easiest way to obtain the design flood is to use an analytical curve that passes through the characteristic points of the flood. Another possibility, which was largely developed in this paper, is to normalize the floods, then to define clusters of floods with similar shapes, and to obtain an average dimensionless flood for each class. Finally, a family of design floods with different shapes, but characterized by the same parameters for each probability of exceedance, are derived. The use of these floods in the design or operation of hydrotechnical works or in the delineation of flooded areas is presented at the end.

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Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches

Cited by 51 publications

References 59 publications

Techniques for assessing water infrastructure for nonstationary extreme events: a review

Techniques for assessing water infrastructure for nonstationary extreme events: a review

The Detection of Flood Characteristics Alteration Induced by the Danjiangkou Reservoir at Han River, China

Uncertainty Based Design Floods

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