медицина / здравоохранение

науки о Земле

геология

прикладные отрасли медицины

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.


литературоведение

Natural Hazard Uncertainty Assessment. Modeling and Decision Support

This new volume in the Toolkit series is designed for clinicians and junior researchers who need to interpret the evidence for the effectiveness of the many diagnostic tests now available. Exceptionally user-friendly, this pocket-sized textbook realizes readers are not experts in diagnostic test interpretation. The authors cover a variety of issues, from how to design diagnostic test studies to understanding the results of diagnostic tests and interpreting the findings for clinical practice and health care policy. 


Matthew Thompson