Publication

A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic

Related publications (34)

Flood of 23 November 2019 on the French Riviera: a comparison of discharges estimated by image analysis and hydrological modelling

Gauthier Paul Daniel Marie Rousseau, Etienne Robert

The short and heavy rainfall events observed on the French Riviera often lead to flash floods on coastal catchments: during the flood of 2 October 2015, a peak discharge between 185 and 295 m(3)/s was estimated on the Brague at Biot at 8:00 PM, whereas the ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Comparison of data interpretation methodologies for geotechnical back analysis

Ian Smith

Rigorous back analysis plays a major role in providing information to engineers for better decision-making. Most research on this topic has focused on optimization techniques. Comparative studies of data interpretation methodologies have seldom been report ...

2019

On flow duration curve modelling in Alpine catchments

Ana Clara Pereira Barbosa Santos

Mountain regions are considered to be the natural "water towers" of the world due to their importance as sources of many rivers. Reliable tools to estimate the availability and variability of streamflows in such regions are still rare. In this context, the ...

EPFL2019

Radar-rain gauge merging and discharge data assimilation for flood forecasting in Alpine catchments

Alain Tommy Foehn

Floods are responsible for one third of the economic losses induced by natural hazards throughout the world. To better protect the population and infrastructures, flood forecasting systems make us of weather forecasts to foresee floods several days in adva ...

EPFL2019

Hydraulic Reconstruction of the 1818 Gietro Glacial Lake Outburst Flood

Christophe Ancey, Tomás Alfredo Trewhela Palacios, Eric Bardou, Martin Funk

In the spring of 1818, ice avalanches from the Gietro Glacier created an ice dam, which in turn formed a glacial lake in the Drance Valley (Canton of Valais, Switzerland). Today, its maximum volume is estimated to have been 25x10(6) m(3). Cantonal authorit ...

2019

Modelling the potential of Natural Flood Management practices in an upland peatland catchment with the distributed TOPMODEL

Hélène Amélie Madeleine Boisgontier

In order to reduce flood risk, there is a growing interest in more nature-based solutions, such as Natural Flood Management (NFM), rather than hard-engineering ones. To help build the evidence towards these solutions, we analysed the influence of different ...

2018

Robust model updating methodology for estimating worst-case load capacity of existing bridges

Ian Smith, Didier Vernay, François-Xavier Favre

High-value infrastructure elements, such as bridges, are typically over-designed. Model-updating techniques are useful for estimating the reserve load capacity (beyond safety factors) of bridges and this improves sustainability through good asset-managemen ...

2018

Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes

Damar Canggih Wicaksono

Nuclear thermal-hydraulics (TH) system codes use several parametrized physical or empirical models to describe complex two-phase flow phenomena. The reliability of their predictions is as such primarily affected by the uncertainty associated with the param ...

EPFL2018

Development of a methodology for extreme flood estimations in alpine catchments for the verification of dam safety

Fränz Zeimetz

Dams are critical infrastructures which may be endangered by natural hazards as extreme foods. The water release structures especially the spillways must be designed in such a way that they can ensure the safe passage of extreme floods. Uncontrolled overto ...

EPFL-LCH2017

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

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