Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 55 for “"Extreme event"”.
-
Can diffusion models capture extreme event statistics?
… be able to accurately quantify the statistics of extremes for specific quantities of interest, such as extreme atmospheric weather events or ocean-related quantities. While there are many classical approaches to perform such modeling tasks, recent interest has been increasing in the usage of …
-
Limits to extreme event forecasting in chaotic systems
Predicting extreme events in chaotic systems, characterized by rare but intensely fluctuating properties, is of great importance due to their impact on the performance and reliability of a wide range of systems. Some examples include weather forecasting, traffic management, power grid operations, …
-
Quantification of extreme event statistics in ship design
… and decision-makers as they work towards preventing such failures while balancing both engineering and material cost. The current method for the quantification of extreme events is direct Monte Carlo simulation supplemented by complex statistical models. When such models are not sufficiently …
-
Crisis Management: A Qualitative Study of Extreme Event Leadership
<p>Several extreme events are examined in this dissertation to better understand the implications of such events for expanding the existing knowledge of crisis leadership. Through interviews with leaders that had direct leadership roles in extreme events such as the Fukushima nuclear reactor …
-
Adaptive sequential sampling for extreme event statistics in ship design
… by heavy tailed non-Gaussian statistics in which extreme events have a high probability of occurrence. The primary method for quantifying these extreme events is to perform direct Monte-Carlo simulations of a desired seaway and tabulate the results. While this method has been shown to be largely …
-
The UK wind regime - Observational trends and extreme event analysis and modelling
… years, so an understanding how ETCs cause extreme surface winds and how these extremes vary over time is crucial. An assessment of the 1980-2010 UK wind regime is presented based on a unique 40-station network of 10m hourly mean windspeed and daily maximum gustspeed (DMGS) surface station …
-
Direct and adaptive quantification schemes for extreme event statistics in complex dynamical systems
Quantifying extreme events is a central issue for many technological processes and natural phenomena. As extreme events, we consider transient responses that push the system away from its statistical steady state and that correspond to large excursions. Complex systems exhibiting extreme events …
-
Quantifying Extreme Event Statistics for Ship Motions and Loads Using Low-Fidelity Models and Recurrent Neural Networks
… ocean waves, along with the statistics of extreme events. Ship operators rely on precalculated polar plots during heavy seas to select speeds and headings that will protect the ship and crew from dangerously extreme pitch and roll motion. Ship designers use simulations over thousands of …
-
Investigating the Use of Inductive Transfer Learning and RNN to Quantify Extreme Event Statistics of Ship Motions
… been a critical tool for designers to study the extreme responses of ships in irregular waves. These studies and simulations often take thousands of hours to predict and analyze the ship’s motion. Simulation results are often imperative to ensure the development of accurate operational guidance, …
-
Quantifying restoration costs in the aftermath of an extreme event using system dynamics and dynamic mathematical modeling approaches
"Extreme events such as earthquakes, hurricanes, and the like, lead to devastating effects that may render multiple supply chain critical infrastructure elements inoperable. The economic losses caused by extreme events continue well after the emergency response phase has ended and are a key factor …
-
Coarse-grained models for prediction, uncertainty quantification, and extreme event statistics of turbulent flows in engineering and geophysical settings using physics-consistent data-driven closures
… of the full equations is associated with extreme computational cost, while their simplification inevitably introduces important model errors. In this work we are aiming to answer three questions: How can we use the governing equations and available datasets to formulate physics-constrained …
-
Built environment system resiliency subject to extreme events with fema ihp
Repairing and rebuilding structures following an extreme event requires capital. Due to shifting demographics, high-risk settlements are increasingly placing both populations and the built environment at substantial loss exposure to such extreme events. Instead of retaining extreme event risks …
-
ENVIRONMENTAL MODEL ACCURACY IMPROVEMENT FRAMEWORK USING STATISTICAL TECHNIQUES AND A NOVEL TRAINING APPROACH
… to predict environmental behaviors because of extreme events, such as heatwaves, typhoons, droughts, tsunamis, torrential downpour, wind ramps, or hurricanes. In this thesis, we proposed a novel framework to improve environmental model accuracy with a novel training approach. Extreme event …
-
Generating Unprecedented Extreme Scenarios with Limited Data
Quantifying and predicting rare and extreme events persists as a crucial yet challenging task in understanding complex dynamical systems, ubiquitous in science and engineering. Many practical challenges arise from the infrequency and severity of these events, including the considerable variance of …
-
Tail risk in international markets
<p>Tail risk, defined as extreme event risk in asset markets, is an important consideration for investors when making investment decisions. This paper empirically tests the role of tail risk in international market. Using sample of 40 countries from 1980 to 2014, I show that tail risk positively …
-
An exploration of data-driven techniques for predicting extreme events in intermittent dynamical systems
The ability to characterize and predict extreme events is a vital topic in fields ranging from finance to ocean engineering. Typically, the most-extreme events are also the most-rare, and it is this property that makes data collection and direct simulation challenging. In this thesis, I will …
-
Vulnerability of What? Vulnerability of Whom? : evaluating and communicating vulnerability to extreme floods in Houston, TX using a novel web-based platform
… conditions. The particularly devastating extreme storm season experienced in 2017-18 on the east coast of the United States (including storms Harvey, Irma, Maria, and four nor'easters on the mid-Atlantic coast) has intensified discussion regarding the preparation for, response to, and …
-
INTERROGATING RACISM: AN ARTS-BASED SELF-STUDY OF THE INTERACTIONS OF ONE WHITE TEACHER EDUCATOR IN A RURAL TEACHER PREPARATION PROGRAM
… analysis, I demonstrate how studying an “extreme” event in the research spring boarded me into a more complex and nuanced understanding of abolition, racism, and ABAR teaching in the teaching and learning event.</p>
-
From local to global: understanding linkages between climate shocks and food trade
… countries and their communities are prone to extreme weather events as well as cataloging their coping strategies. A critical component in building knowledge surrounding these extreme events is recognizing that defining these events varies across disciplines and stakeholders. Presently, there …
-
Environmental hazard identification, assessment and control for a sustainable maritime transportation system
… model that examines the MTS resiliency after an extreme event and determines the sequence needed to restore the ocean-going port to its pre-event state. The second is a Decision-Making in Complex Environments (DMCE) tool developed by integrating fuzzy logic with a combination of Analytic …
Page 1 of 3