Statistical Models for Flood Frequency Estimation of the Mississippi and Yazoo Rivers

1987 ◽  
pp. 107-115
Author(s):  
Edward Nissan
Keyword(s):  
Statistical Models ◽  
Frequency Estimation ◽  
Flood Frequency

Application de la fonction bêta et des polynômes de Jacobi à l'analyse des valeurs extrêmes

1994 ◽  
Vol 21 (6) ◽  
pp. 1074-1080 ◽  
Author(s):  
J. Llamas ◽  
C. Diaz Delgado ◽  
M.-L. Lavertu
Keyword(s):  
Frequency Estimation ◽  
Probabilistic Method ◽  
Beta Function ◽  
Real Data ◽  
Flood Frequency ◽  
Data Series ◽  
Data Generation ◽  
Practical Applications ◽  
Flood Probability ◽  
Probable Maximum Flood

In this paper, an improved probabilistic method for flood analysis using the probable maximum flood, the beta function, and orthogonal Jacobi’s polynomials is proposed. The shape of the beta function depends on the sample's characteristics and the bounds of the phenomenon. On the other hand, a serial of Jacobi’s polynomials has been used improving the beta function and increasing its convergence degree toward the real flood probability density function. This mathematical model has been tested using a sample of 1000 generated beta random data. Finally, some practical applications with real data series, from important Quebec's rivers, have been performed; the model solutions for these rivers showed the accuracy of this new method in flood frequency estimation. Key words: probable maximum flood, beta function, orthogonal polynomials, distribution function, flood frequency estimation, data generation, convergency.

scholarly journals SHYREG, a national database of flood frequency estimation

2016 ◽  
Vol 7 ◽  
pp. 01004
Author(s):  
Patrick Arnaud ◽  
Philippe Cantet ◽  
Jean Odry
Keyword(s):  
Frequency Estimation ◽  
Flood Frequency ◽  
National Database

scholarly journals Flood frequency estimation by continuous simulation under climate change (with uncertainty)

2000 ◽  
Vol 4 (3) ◽  
pp. 393-405 ◽  
Author(s):  
D. Cameron ◽  
K. Beven ◽  
P. Naden
Keyword(s):  
Climate Change ◽  
Frequency Estimation ◽  
Flood Frequency ◽  
Change Scenario ◽  
Rainfall Runoff ◽  
Catchment Scale ◽  
Continuous Simulation ◽  
Starting Point ◽  
Rainfall Model ◽  
Impacts Of Climate Change

Abstract. This paper explores the potential for assessing the impacts of climate change upon flood frequency for the gauged, upland Wye catchment at Plynlimon, Wales, UK, while taking account of uncertainty in modelling rainfall-runoff processes under current conditions. A continuous simulation methodology which uses a stochastic rainfall model to drive the rainfall-runoff model TOPMODEL is utilised. Behavioural parameter sets for both the rainfall model and TOPMODEL are identified prior to the climate change runs using the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. The "medium-high" UKCIP98 climate change scenario, obtained from the HadCM2 GCM simulations, is used as a starting point for a variety of different scenarios at the catchment scale. It is demonstrated that while the scenarios have only a small impact upon the likelihood weighted flood frequency uncertainty bounds in comparison with the current condition scenario, the risk of a given discharge as an element in the distribution of T year floods is changed. This underlines the need to account explicitly for uncertainty within hydrological modelling, especially in estimating the impacts of climate change. Keywords: Climate change; Floods; Frequency; TOPMODEL

scholarly journals Applications of Open-Access Remotely Sensed Data for Flood Modelling and Mapping in Developing Regions

Hydrology ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 39 ◽  
Author(s):  
Iguniwari Thomas Ekeu-wei ◽  
George Alan Blackburn
Keyword(s):  
Open Access ◽  
Frequency Estimation ◽  
Management Strategies ◽  
Flood Management ◽  
Remotely Sensed ◽  
Flood Frequency ◽  
Remotely Sensed Data ◽  
Developing Regions ◽  
Flood Modelling ◽  
Radar Images

Flood modelling and mapping typically entail flood frequency estimation, hydrodynamic modelling and inundation mapping, which require specific datasets that are often unavailable in developing regions due to financial, logistical, technical and organizational challenges. This review discusses fluvial (river) flood modelling and mapping processes and outlines the data requirements of these techniques. This paper explores how open-access remotely sensed and other geospatial datasets can supplement ground-based data and high-resolution commercial satellite imagery in data sparse regions of developing countries. The merits, demerits and uncertainties associated with the application of these datasets, including radar altimetry, digital elevation models, optical and radar images, are discussed. Nigeria, located within the Niger river basin of West Africa is a typical data-sparse country, and it is used as a case study in this review to evaluate the significance of open-access datasets for local and transboundary flood analysis. Hence, this review highlights the vital contribution that open access remotely sensed data can make to flood modelling and mapping and to support flood management strategies in developing regions.

scholarly journals An analysis of the hydrological regime as a factor influencing on the distributions of maximum annual flows

2018 ◽  
Vol 23 ◽  
pp. 00034
Author(s):  
Wiesław Szulczewski ◽  
Wojciech Jakubowski ◽  
Tamara Tokarczyk
Keyword(s):  
Frequency Analysis ◽  
Statistical Models ◽  
Hydrological Regime ◽  
Estimation Procedure ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Data Preparation ◽  
Mixture Of Distributions ◽  
Peak Over Threshold ◽  
Original Procedure

Statistical models of freshet flows are the basis for the design of hydrotechnical structures and for undertaking all and any activities related with flood threat. With regard to the method of data preparation for estimation and to the estimation procedure itself, the methods applied in such situations can be divided into two parts - FFA (Flood Frequency Analysis) and POT (Peak Over Threshold). In this study a comparison of those methods is made, using an original mixture of distributions (FFA) and an original procedure of distribution estimation (POT) for six selected water gauges on the river Odra.

Flood frequency estimation and uncertainty in arid/semi-arid regions

2020 ◽  
Vol 590 ◽  
pp. 125254 ◽  
Author(s):  
Asher Metzger ◽  
Francesco Marra ◽  
James A. Smith ◽  
Efrat Morin
Keyword(s):  
Arid Regions ◽  
Frequency Estimation ◽  
Flood Frequency ◽  
Semi Arid
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