Details

Natural Hazard Uncertainty Assessment


Natural Hazard Uncertainty Assessment

Modeling and Decision Support
Geophysical Monograph Series, Band 223 1. Aufl.

von: Karin Riley, Peter Webley, Matthew Thompson

132,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 15.11.2016
ISBN/EAN: 9781119028109
Sprache: englisch
Anzahl Seiten: 360

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Beschreibungen

<p>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:</p> <ul> <li>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</li> <li>Targeted, application-centered analyses with a focus on development and use of modeling techniques to address various sources of uncertainty</li> <li>Emphasis on the impacts of climate change on natural hazard processes and outcomes</li> <li>Recommendations for cross-disciplinary and science transfer across natural hazard sciences</li> </ul> <p>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.<br /><br />Read an interview with the editors to find out more:<br /><a href="https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction">https://eos.org/editors-vox/reducing-uncertainty-in-hazard-prediction</a><br /><br /></p>
<p>Contributors vii</p> <p>1 Uncertainty in Natural Hazards, Modeling and Decision Support: An Introduction to This Volume 1<br /><i>Karin Riley, Matthew Thompson, Peter Webley, and Kevin D Hyde</i></p> <p><b>Part I: Uncertainty, Communication, and Decision Support 9</b></p> <p>2 Natural Hazard Modeling and Uncertainty Analysis 11<br /><i>Matthew Thompson and Jord J Warmink<br /><br /></i>3 Understanding Uncertainty as a Key Interdisciplinary Problem in Earth System Science 21<br /><i>Florian Rauser and Gernot Geppert <br /><br /></i>4 Uncertainty and Probability in Wildfire Management Decision Support: An Example from the United States 31<br /><i>Matthew Thompson, David Calkin, Joe H Scott, and Michael Hand </i></p> <p>5 Role of Uncertainty in Decision Support for Volcanic Ash Cloud Modeling 43<br /><i>Peter Webley </i></p> <p><b>Part II: Geological Hazards 57</b></p> <p>6 Building an Uncertainty Modeling Framework for Real?-Time VATD 59<br /><i>Peter Webley, Abani Patra, Marcus Bursik, E Bruce Pitman, Jonathan Dehn, Tarung Singh, Puneet Singla, Matthew D Jones, Reza Madankan, E Ramona Stefanescu, and Solene Pouget </i></p> <p>7 Uncertainties in Estimating Magma Source Parameters from InSAR Observation 89<br /><i>Wenyu Gong, Zhong Lu, and Franz Meyer </i></p> <p>8 Improving Model Simulations of Volcanic Emission Clouds and Assessing Model Uncertainties 105<br /><i>Nina Iren Kristiansen, Delia Arnold, Christian Maurer, Julius Vira, Razvan Rădulescu, Damien Martin, ndreas Stohl, Kerstin Stebel, Mikhail Sofiev, Colin O’Dowd, and Gerhard Wotawa </i></p> <p>9 Uncertainty Assessment of Pyroclastic Density Currents at Mount Vesuvius (Italy) Simulated Through the Energy Cone Model 125<br /><i>Pablo Tierz, Laura Sandri, Antonio Costa, Roberto Sulpizio, Lucia Zaccarelli, Mauro Antonio Di Vito, and Warner Marzocchi </i></p> <p>10 Earthquake Loss Estimation in the Gyeongju Area, Southeastern Korea, Using a Site Classification Map 147<br /><i>Su Young Kang and Kwang?-Hee Kim </i></p> <p>11 Implications of Different Digital Elevation Models and Preprocessing Techniques to Delineate Debris Flow Inundation Hazard Zones in El Salvador 167<br /><i>Eric Ross Anderson, Robert E Griffin, and Daniel E Irwin </i></p> <p>12 Evaluating the Performance of FLO2D for Simulating Past Lahar Events at the Most Active Mexican Volcanoes: Popocatépetl and Volcán de Colima 179<br /><i>Lizeth Caballero, Lucia Capra, and Rosario Vázquez </i></p> <p><b>Part III: Biophysical and Climatic Hazards 191</b></p> <p>13 An Uncertainty Analysis of Wildfire Modeling 193<br /><i>Karin Riley and Matthew Thompson</i></p> <p>14 Fire and Smoke Remote Sensing and Modeling Uncertainties: Case Studies in Northern Sub?]Saharan Africa 215<br /><i>Charles Ichoku, Luke T Ellison, Yun Yue, Jun Wang, and Johannes W Kaiser </i></p> <p>15 Uncertainty and Complexity Tradeoffs When Integrating Fire Spread with Hydroecological Projections 231<br /><i>Maureen C Kennedy and Donald McKenzie </i></p> <p>16 Uncertainty Quantification and Propagation for Projections of Extremes in Monthly Area Burned Under Climate Change: A Case Study in the Coastal Plain of Georgia, USA 245<br /><i>Adam J Terando, Brian Reich, Krishna Pacifici, Jennifer Costanza, Alexa McKerrow, and Jaime A Collazo </i></p> <p>17 Simulating Vegetation Change, Carbon Cycling, and Fire Over the Western United States Using CMIP5 Climate Projections 257<br /><i>D Bachelet, T Sheehan, K Ferschweiler, and J Abatzoglou </i></p> <p>18 Sensitivity of Vegetation Fires to Climate, Vegetation, and Anthropogenic Drivers in the HESFIRE Model: Consequences for Fire Modeling and Projection Uncertainties 277<br /><i>Yannick Le Page </i></p> <p>19 Uncertainties in Predicting Debris Flow Hazards Following Wildfire 287<br /><i>Kevin D Hyde, Karin Riley, and Cathelijne Stoof </i></p> <p>20 Capturing Spatiotemporal Variation in Wildfires for Improving Postwildfire Debris?-Flow Hazard Assessments 301 <br /><i>Jessica R Haas, Matthew Thompson, Anne Tillery, and Joe H Scott </i></p> <p>21 Uncertainty in Estimation of Debris?-Flow Triggering Rainfall: Evaluation and Impact on Identification of Threshold Relationships 319<br /><i>E I Nikolopoulos, F Marra, and M Borga </i></p> <p>22 Prospects in Landslide Prediction: Confronting the Challenges of Precipitation Uncertainty 329<br /><i>Natasha Markuzon, Catherine Slesnick, Erin Leidy, John Regan, Xiang Gao, and Adam Schlosser </i></p> <p>Index 337</p>
<p>"This volume, edited by Karin Riley, Peter Webley, and Matthew Thompson, tackles the often-neglected topic of uncertainty in judging the effectiveness of the natural disaster models used when informing action...While not for casual reading, this volume nonetheless provides an approachable way to learn about the realities of natural disaster modelling. In addition, it highlights the importance of uncertainty, an inseparable part of science that is very often ignored." (<i>Phenotype</i> June 2017)</p>
<p><b>Dr. Karin Riley</b> is a Research Scientist in the Numerical Terradynamic Simulation Group in the University of Montana, Missoula, Montana. Her research interest focuses on the calculation of risk to terrestrial carbon stocks and expected emissions for the continental US, tree-level spatial model for the continental US, modeling of change in burn probabilities under climate change, and validation of FSim Large Fire Simulator’s national burn probability and flame length outputs.</p> <p><b>Dr. Peter Webley</b> is the Research Assistant Professor at the Geophysical Institute in the University of Alaska Fairbanks. His research interests lie in volcanic ash cloud and plume detection through thermal and visible remote sensing as well as volcanic ash cloud modeling using Lagrangian transport and dispersion models. Given his background in thermal and radar based remote sensing, he also has an interest in real-time detection of ground based volcanic activity through remote sensing datasets and how to sue these for hazard assessment and risk mitigation. Through his research projects and collaborations, Dr Webley works closely on with both groups across UAF as well as further afield in the USGS, NASA, NSF, State University of New York - Buffalo, Michigan Technology University. Within the University of Alaska Fairbanks, Dr Webley is the UAF Faculty Senate Research Advisory Committee co-chair as well yearly he provides an instructional two-week module for the Alaska Summer Research Academy. Outside Alaska, Dr Webley is the America's and Caribbean chair for the World Organization of Volcano Observatories and on the Steering Committee of the Global Volcano model project.</p> <p><b>Dr. Matthew Thompson</b> is a Research Forester at the USFS Rocky Mountain Research Station in Missoula, MT. His research interest lies in application of principles from systems engineering, industrial engineering, risk analysis, operations research, economics, and decision-making under uncertainty to complex resource management with economic and environmental objectives.</p>

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