Three Domain Modelling and Uncertainty Analysis PDF Download

Author: Atom Mirakyan
Publisher: Springer
ISBN: 3319195727
Category : Business & Economics
Languages : en
Pages : 206

View

Book Description
This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice.

Author: International Renewable Energy Agency IRENA
Publisher: International Renewable Energy Agency (IRENA)
ISBN: 9292602810
Category : Technology & Engineering
Languages : en
Pages : 179

View

Book Description
Cities have emerged as a key focus of global climate mitigation and adaptation strategies. This report highlights resource potential, targets, technology options and planning priorities.

Author: Van-Nam Huynh
Publisher: Springer
ISBN: 331949046X
Category : Computers
Languages : en
Pages : 740

View

Book Description
This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.

Author: Y. Zee Ma
Publisher: AAPG
ISBN: 0891813780
Category : Science
Languages : en
Pages : 329

View

Book Description

Author: Karin Riley
Publisher: John Wiley & Sons
ISBN: 1119028094
Category : Science
Languages : en
Pages : 360

View

Book Description
Uncertainties are pervasive in natural hazards, and it is crucial to develop robust and meaningful approaches to characterize and communicate uncertainties to inform modeling efforts. In this monograph we provide a broad, cross-disciplinary overview of issues relating to uncertainties faced in natural hazard and risk assessment. We introduce some basic tenets of uncertainty analysis, discuss issues related to communication and decision support, and offer numerous examples of analyses and modeling approaches that vary by context and scope. Contributors include scientists from across the full breath of the natural hazard scientific community, from those in real-time analysis of natural hazards to those in the research community from academia and government. Key themes and highlights include: Substantial breadth and depth of analysis in terms of the types of natural hazards addressed, the disciplinary perspectives represented, and the number of studies included Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty Emphasis on the impacts of climate change on natural hazard processes and outcomes Recommendations for cross-disciplinary and science transfer across natural hazard sciences This volume will be an excellent resource for those interested in the current work on uncertainty classification/quantification and will document common and emergent research themes to allow all to learn from each other and build a more connected but still diverse and ever growing community of scientists. Read an interview with the editors to find out more: https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction

Author: Bilal M. Ayyub
Publisher: Springer Science & Business Media
ISBN: 0387235507
Category : Business & Economics
Languages : en
Pages : 545

View

Book Description
The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

Author: Anthony O' Hagan
Publisher: OUP Oxford
ISBN: 0191582824
Category : Mathematics
Languages : en
Pages : 928

View

Book Description
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.

Author: Eduard Hofer
Publisher: Springer
ISBN: 3319762974
Category : Mathematics
Languages : en
Pages : 346

View

Book Description
This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

Author: Keith Beven
Publisher: World Scientific
ISBN: 1783263121
Category : Technology & Engineering
Languages : en
Pages : 684

View

Book Description
This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making for both short-term (real-time forecasting) and long-term (flood risk planning under change) situations. It aims primarily at technical practitioners involved in flood risk analysis and flood warning, including hydrologists, engineers, flood modelers, risk analysts and those involved in the design and operation of flood warning systems. Many experienced practitioners are now expected to modify their way of working to fit into the new philosophy of flood risk management. This volume helps them to undertake that task with appropriate attention to the surrounding uncertainties. The book will also interest and benefit researchers and graduate students hoping to improve their knowledge of modern uncertainty analysis. Contents:Introduction:Flood Risk Management: Decision Making Under Uncertainty (Jim W Hall)Use of Models in Flood Risk Management (Keith Beven)Theoretical Perspectives:A Framework for Uncertainty Analysis (Keith Beven)Classical Approaches for Statistical Inference in Model Calibration with Uncertainty (R E Chandler)Formal Bayes Methods for Model Calibration with Uncertainty (Jonathan Rougier)The GLUE Methodology for Model Calibration with Uncertainty (Keith Beven)Uncertainties in Flood Modelling and Risk Analysis:Uncertainty in Rainfall Inputs (R E Chandler, V S Isham, P J Northrop, H S Wheater, C J Onof and N A Leith)Uncertainty in Flood Frequency Analysis (Thomas R Kjeldsen, Rob Lamb and Sarka D Blazkova)Minimising Uncertainty in Statistical Analysis of Extreme Values (C Keef)Uncertainty in Flood Inundation Modelling (Paul D Bates, Florian Pappenberger and Renata J Romanowicz)Flood Defence Reliability Analysis (Pieter van Gelder and Han Vrijling)Uncertainties in Flood Modelling in Urban Areas (Slobodan Djordjević, Zoran Vojinović, Richard Dawson and Dragan A Savić)The Many Uncertainties in Flood Loss Assessments (John Chatterton, Edmund Penning-Rowsell and Sally Priest)Uncertainty and Sensitivity Analysis of Current and Future Flood Risk in the Thames Estuary (Jim W Hall, Hamish Harvey and Owen Tarrant)Uncertainties in Real-Time Flood Forecasting:Operational Hydrologic Ensemble Forecasting (Albrecht H Weerts, Dong-Jun Seo, Micha Werner and John Schaake)A Data-Based Mechanistic Modelling Approach to Real-Time Flood Forecasting (Peter C Young, Renata J Romanowicz and Keith Beven)Uncertainty Estimation in Fluvial Flood Forecasting Applications (Kevin Sene, Albrecht H Weerts, Keith Beven, Robert J Moore, Chris Whitlow, Stefan Laeger and Richard Cross)Case Study: Decision Making for Flood Forecasting in the US National Weather Service (Robert Hartman and John Schaake)Quantifying and Reducing Uncertainties in Operational Forecasting: Examples from the Delft FEWS Forecasting System (Micha Werner, Paolo Reggiani and Albrecht H Weerts)Real-Time Coastal Flood Forecasting (Kevin Horsburgh and Jonathan Flowerdew)Uncertainties in Long-Term Change in Flood Risk:Detecting Long-Term Change in Flood Risk (Cíntia B Uvo and Robin T Clarke)Detecting Changes in Winter Precipitation Extremes and Fluvial Flood Risk (Robert L Wilby, Hayley J Fowler and Bill Donovan)Flood Risk in Eastern Australia — Climate Variability and Change (Stewart W Franks)Communicating Uncertainties:Translating Uncertainty in Flood Risk Science (Hazel Faulkner, Meghan Alexander and David Leedal) Readership: Hydrologists, civil engineers, meteorologists, flood risk managers, environmental scientists, hydraulic engineers and consultants. Key Features:Dedicated to the important problem of uncertainty in flood risk analysisTakes an applied perspective with a range of case studiesProvides a comprehensive coverage of uncertainties in flood risk analysis, including flood forecasting, simulation modeling and impacts assessmentKeywords:Floods;Flood Risk Management;Uncertainty Estimation;Flood Frequency;Rainfall Models

Author: Jianguo Wu
Publisher: Springer Science & Business Media
ISBN: 1402046634
Category : Science
Languages : en
Pages : 354

View

Book Description
This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.