Projects per year
Abstract
Natural hazard analysis involves various kinds of assumptions and approximations. Observations and data used in calibration processes are subject to errors. Consequently, probabilistic hazard assessments are uncertain. The methodologies for natural hazard analyses have evolved rapidly by improving the quantification and visualization of uncertainties associated with probabilistic hazard estimates. However, approaches across different natural hazards are not uniform. Aiming at developing a cross-hazard framework for natural disaster assessment, the current methods for seismic and tsunami hazard analyses are reviewed. In light of current needs for a dynamic and integrated framework for cascading hazards, a multi-hazard approach for earthquake and tsunami is presented.
Original language | English |
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Title of host publication | Vulnerability, Uncertainty, and Risk |
Subtitle of host publication | Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 |
Publisher | ASCE |
Pages | 1105-1115 |
Number of pages | 11 |
ISBN (Electronic) | 9780784413609 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom Duration: 13 Jul 2014 → 16 Jul 2014 |
Conference
Conference | 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 |
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Country/Territory | United Kingdom |
City | Liverpool |
Period | 13/07/14 → 16/07/14 |
Research Groups and Themes
- Water and Environmental Engineering
Fingerprint
Dive into the research topics of 'Anatomy of Natural Hazard Analysis: Uncertainty Propagation and Visualization'. Together they form a unique fingerprint.Projects
- 1 Finished
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CREDIBLE (Revision of FEC id 120483)
Wagener, T. (Principal Investigator)
1/09/12 → 30/09/17
Project: Research