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Natural hazard uncertainty assessment : modeling and decision support / Karin Riley, Peter Webley, Matthew Thompson, editors.
Format
Book
Language
English
Published/Created
Hoboken, New Jersey : Wiley ; Washington, D.C. : American Geophysical Union, [2016]
©2017
Description
1 online resource
Availability
Available Online
AGU Digital Library - Geophysical monograph series
Ebook Central Perpetual, DDA and Subscription Titles
Details
Subject(s)
Natural disasters
—
Mathematical models
[Browse]
Editor
Riley, Karin
[Browse]
Webley, Peter
[Browse]
Thompson, Matthew
[Browse]
Series
Geophysical monograph ; 223.
[More in this series]
Geophysical monograph series ; 223
[More in this series]
Summary note
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.
Notes
Includes index.
Source of description
Online resource; title from PDF title page (John Wiley, viewed December 15, 2016).
Contents
Uncertainty in Natural Hazards, Modeling and Decision Support / Karin Riley, Matthew Thompson, Peter Webley, Kevin D Hyde
Uncertainty, Communication, and Decision Support. Natural Hazard Modeling and Uncertainty Analysis / Matthew Thompson, Jord J Warmink
Understanding Uncertainty as a Key Interdisciplinary Problem in Earth System Science / Florian Rauser, Gernot Geppert
Uncertainty and Probability in Wildfire Management Decision Support / Matthew Thompson, David Calkin, Joe H Scott, Michael Hand
Role of Uncertainty in Decision Support for Volcanic Ash Cloud Modeling / Peter Webley
Geological Hazards. Building an Uncertainty Modeling Framework for Real-Time VATD / Peter Webley, Abani Patra, Marcus Bursik, E Bruce Pitman, Jonathan Dehn, Tarung Singh, Puneet Singla, Matthew D Jones, Reza Madankan, E Ramona Stefanescu, Solene Pouget
Uncertainties in Estimating Magma Source Parameters from InSAR Observation / Wenyu Gong, Zhong Lu, Franz Meyer
Improving Model Simulations of Volcanic Emission Clouds and Assessing Model Uncertainties / Nina Iren Kristiansen, Delia Arnold, Christian Maurer, Julius Vira, Razvan Rdulescu, Damien Martin, Andreas Stohl, Kerstin Stebel, Mikhail Sofiev, Colin O'Dowd, Gerhard Wotawa
Uncertainty Assessment of Pyroclastic Density Currents at Mount Vesuvius (Italy) Simulated Through the Energy Cone Model / Pablo Tierz, Laura Sandri, Antonio Costa, Roberto Sulpizio, Lucia Zaccarelli, Mauro Antonio Di Vito, Warner Marzocchi
Earthquake Loss Estimation in the Gyeongju Area, Southeastern Korea, Using a Site Classification Map / Su Young Kang, Kwang-Hee Kim
Implications of Different Digital Elevation Models and Preprocessing Techniques to Delineate Debris Flow Inundation Hazard Zones in El Salvador / Eric Ross Anderson, Robert E Griffin, Daniel E Irwin
Evaluating the Performance of FLO2D for Simulating Past Lahar Events at the Most Active Mexican Volcanoes / Lizeth Caballero, Lucia Capra, Rosario Vázquez
Biophysical and Climatic Hazards. An Uncertainty Analysis of Wildfire Modeling / Karin Riley, Matthew Thompson
Fire and Smoke Remote Sensing and Modeling Uncertainties / Charles Ichoku, Luke T Ellison, Yun Yue, Jun Wang, Johannes W Kaiser
Uncertainty and Complexity Tradeoffs When Integrating Fire Spread with Hydroecological Projections / Maureen C Kennedy, Donald McKenzie
Uncertainty Quantification and Propagation for Projections of Extremes in Monthly Area Burned Under Climate Change / Adam J Terando, Brian Reich, Krishna Pacifici, Jennifer Costanza, Alexa McKerrow, Jaime A Collazo
Simulating Vegetation Change, Carbon Cycling, and Fire Over the Western United States Using CMIP5 Climate Projections / D Bachelet, T Sheehan, K Ferschweiler, J Abatzoglou
Sensitivity of Vegetation Fires to Climate, Vegetation, and Anthropogenic Drivers in the HESFIRE Model / Yannick Le Page
Uncertainties in Predicting Debris Flow Hazards Following Wildfire / Kevin D Hyde, Karin Riley, Cathelijne Stoof
Capturing Spatiotemporal Variation in Wildfires for Improving Postwildfire Debris-Flow Hazard Assessments / Jessica R Haas, Matthew Thompson, Anne Tillery, Joe H Scott
Uncertainty in Estimation of Debris-Flow Triggering Rainfall / E I Nikolopoulos, F Marra, M Borga
Prospects in Landslide Prediction / Natasha Markuzon, Catherine Slesnick, Erin Leidy, John Regan, Xiang Gao, Adam Schlosser.
Show 19 more Contents items
ISBN
9781119028116 ((electronic bk.))
1119028116 ((electronic bk.))
9781119028093 ((electronic bk.))
1119028094 ((electronic bk.))
OCLC
963932443
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Natural hazard uncertainty assessment : modeling and decision support / Karin Riley, Peter Webley, Matthew Thompson, editors.
id
99125344006906421
Natural hazard uncertainty assessment : modeling and decision support / Karin Riley, Peter Webley, Matthew Thompson, editors.
id
99101279453506421