Searched for: subject%3A%22extreme%255C+value%22
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Roy, Ankush (author)
Extreme precipitation, like floods and landslides, poses major risks to safety and the economy, underscoring the need for sophisticated weather forecasting to predict these events accurately, enhancing readiness and resilience. Nowcasting, which uses real-time atmospheric data to predict short-term weather, is key in addressing this challenge....
master thesis 2024
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Verhagen, Alexandra (author)
Accurate capacity planning is essential to ensure uninterrupted services and network stability through peak hours for the transport core network of KPN. This involves a trade-off between minimizing the risks of capacity shortages and costs of capacity expansions. High network loads are occurring more frequently and their magnitude is increasing....
master thesis 2024
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Mendoza Lugo, M.A. (author), Nogal Macho, M. (author), Morales Napoles, O. (author)
Around the world, an increasing amount of bridge infrastructure is ageing. The resources involved in the reassessment of existing assets often exceed available resources and many bridges lack a minimum structural assessment. Therefore, there is a need for comprehensive and quantitative approaches to assess all the assets in the bridge network to...
journal article 2024
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Bij de Vaate, I. (author), Slobbe, D.C. (author), Verlaan, M. (author)
Multi-mission satellite altimetry data have been used to study the spatial and temporal variability in global storm surge water levels. This was done by means of a time-dependent extreme value analysis applied to the monthly maximum detided water levels. To account for the limited temporal resolution of the satellite data, the data were first...
journal article 2024
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Yarveisy, R. (author), Khan, Faisal (author), Abbassi, Rouzbeh (author)
This paper presents a data-driven approach to predict the pipelines’ corrosion-induced Burst failure. In this approach, different aspects of pit growth progression and spatial distribution of pits are simulated. The proposed approach takes advantage of population characteristics to model these aspects of the degradation paths for each pipe...
journal article 2024
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Gründemann, Gaby J. (author)
Improved understanding of historical precipitation extremes is important to better explain their behavior, predict future occurrences, and inform planning and engineering design. The intensity, seasonality, and timing of these extremes have far-reaching consequences, and require a comprehensive analysis of both historical trends and projected...
doctoral thesis 2023
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DIAKOMOPOULOS, FAIDON (author)
The projected increase in sea level is expected to increase the intensity of coastal flooding threatening communities living along the coast. This, in combination with population growth and urban expansion, calls for a better understanding of Extreme Water Levels (EWLs), the mechanisms generating them, and their components, i.e., astronomical...
master thesis 2023
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Taylor, Elizabeth (author)
Floods are the most frequent natural disaster and due to climate change the frequency and intensity of these events are increasing. Therefore, it is becoming increasingly important to obtain accurate estimations of extreme discharges. Statistical modelling is widely used to estimate extreme discharges by fitting observed extreme discharges to an...
master thesis 2023
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Veldman, Chris (author)
The uncertainty paired with the effects of climate change impacts the design aspects of hydraulic structures. To comprehend the uncertainty of the evolving conditions, methods and models that differ from the traditional ones could provide a better understanding of the uncertainty and potential risks associated with a design.<br/>Hydraulic...
master thesis 2023
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Oomens, Robin (author)
Coastal cities and communities are threatened by Sea Level Rise (SLR). Designing adaptations to protect against the rising sea requires a novel approach. With changing conditions, a broader approach considering multiple climate scenarios is required. A city facing an increasing threat from sea levels is Venice, one of the UNESCO world heritage...
master thesis 2023
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Draisma, Max (author)
Understanding the factors that drive extreme water levels is key to an accurate assessment of flood hazard. The city of Venice has always been affected by flooding due to extreme water levels. In this study, we examine the factors driving and influencing extreme water levels in the Venice lagoon, aiming at deriving accurate extreme water level...
master thesis 2023
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Shang, Y. (author), Nogal Macho, M. (author), Teixeira, Rui (author), Wolfert, A.R.M. (author)
The use of sensitivity analysis is essential in model development for the purposes of calibration, verification, factor prioritization, and mechanism reduction. While most contributions to sensitivity methods focus on the average model response, this paper proposes a new sensitivity method focusing on the extreme response and structural limit...
journal article 2023
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Scharnke, Jule (author), van Essen, S.M. (author), Seyffert, Harleigh C. (author)
In the assessment of wave-in-deck loads for new and existing maritime structures typically model tests are carried out. To determine the most critical conditions and measure sufficient impact loads, a range of sea states and various seeds (realisations) for each sea state are tested. Based on these measurements, probability distributions can...
journal article 2023
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Gründemann, Gaby J. (author), Zorzetto, Enrico (author), Beck, Hylke E. (author), Schleiss, M.A. (author), van de Giesen, N.C. (author), Marani, Marco (author), van der Ent, R.J. (author)
Quantifying the magnitude and frequency of extreme precipitation events is key in translating climate observations to planning and engineering design. Past efforts have mostly focused on the estimation of daily extremes using gauge observations. Recent development of high-resolution global precipitation products, now allow estimation of...
journal article 2023
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Velthoen, J.J. (author), Dombry, Clément (author), Cai, Juan Juan (author), Engelke, Sebastian (author)
Extreme quantile regression provides estimates of conditional quantiles outside the range of the data. Classical quantile regression performs poorly in such cases since data in the tail region are too scarce. Extreme value theory is used for extrapolation beyond the range of observed values and estimation of conditional extreme quantiles....
journal article 2023
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van Essen, S.M. (author), Scharnke, Jule (author), Seyffert, Harleigh C. (author)
For the design of maritime structures in waves, the extreme values of responses such as motions and wave impact loads are required. Waves and wave-induced responses are stochastic, so such responses should always be related to a probability. This information is not easy to obtain for strongly non-linear responses such as wave impact forces....
journal article 2023
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Zhou, Wenyu (author)
Since the mid-19th century global temperatures have increased significantly, so does the intensity of extreme rainfall. Previous studies have suggested that by the end of the century extreme rainfall intensity would increase by 10.5% and 28.2% for the low and high emission scenarios, and the centennial extreme rainfall would increase by 13.5%...
student report 2022
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Bi, Haoran (author)
Extreme precipitation can often cause serious hazards such as flooding and landslide. Both pose a threat to human lives and lead to substantial economic loss. It is crucial to develop a reliable weather forecasting system that can predict such extreme events to mitigate the effect of heavy precipitation and increase resilience to these hazards....
master thesis 2022
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Velthoen, J.J. (author)
In this thesis we develop several statistical methods to estimate high conditional quantiles to use for statistical post-processing of weather forecasts. We propose methodologies that combine theory from extreme value statistics and machine learning algorithms in order to estimate high conditional quantiles in large covariate spaces. In...
doctoral thesis 2022
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Cheng, D. (author)
This dissertation collects three scientific contributions, already published in international peer-reviewed journals, plus some extra considerations and work-in-progress. First, we present a model based on reinforced urn processes, which conjugates to the right-censored recovery process, and empirically apply it to the time series of recovery...
doctoral thesis 2022
Searched for: subject%3A%22extreme%255C+value%22
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