Challenges of analyzing multi-hazard risk: a review
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Citations
Dryland climate change: Recent progress and challenges
Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts
Suitability estimation for urban development using multi-hazard assessment map.
Reviewing and visualizing the interactions of natural hazards
A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment
References
Landslide hazard zonation: A review of principles and practice
Landslide risk assessment and management: an overview
Natural Disaster Hotspots: A Global Risk Analysis
Measuring vulnerability to natural hazards: Towards disaster resilient societies
Related Papers (5)
Assessing physical vulnerability for multi-hazards using an indicator-based methodology
Frequently Asked Questions (12)
Q2. What is the common approach to enable the comparison of different hazards?
(1) The standardization by means of classification is the most frequently used approach to enable the comparison of different hazards.
Q3. What is the common method used to overcome this difficulty?
the development of a common standardization scheme (classification or indices, qualitative, or semiquantitative) is used to overcome this difficulty.
Q4. What is the main option for the analysis of potential losses?
The principal option is scenario (deterministic) modeling; however, probabilistic investigations as well as the calculation of annualized losses of all three processes are offered in addition (Schneider and Schauer 2006).
Q5. What is the range of methods available for multi-hazard risk research?
While multi-hazard analyses are commonly restricted to qualitative and semiquantitative approaches, the whole range from qualitative to quantitative methods is available for multi-hazard risk research.
Q6. What is the minimum condition to achieve comparability?
According to Marzocchi et al. (2012) and the concord during the workshop ‘‘Multi-Hazard Risks—status quo and future challenges,’’7 the minimum condition to achieve comparability is the determination of common output metrics and scale of modeling.
Q7. What is the main advantage of web-mapping?
In addition to the conventional mapping approach, web-mapping applications provide an alternative visualization method as they offer an interactive definition of the visible layers.
Q8. How are the probabilities of the possible final states of the whole system calculated?
According to Egli (1996), event trees are constructed in four steps: (1) the triggering event is determined, (2) the possible following effects are identified, (3) probabilities are assigned to each step, and (4) the probabilities of the possible final states of the whole system are computed.
Q9. What are the main platforms for the automated computation of multi-hazard risk?
On a global perspective, there exist three major platforms for the automated computation of multi-hazard risks for the governmental risk management on a national level: Hazus, RiskScape, and CAPRA.
Q10. How many deciles are used for the classification of a hazard?
For the definition of classification thresholds, the total number of pixels affected by a certain hazard is divided into ten approximately equally sized groups, the so-called deciles.
Q11. Why are there no single properties exposed to all of these hazards?
The reason is that although during a hurricane event, there will be some community elements that will be exposed to storm tide, some that are exposed to destructive winds, some that are exposed to inundation from either flash flooding or riverine flooding, and some that are potentially exposed to landslide; however, in most cases, no single property will be exposed to all of those hazards.
Q12. What are the basic requirements for the comparability of the final risk classes?
Two basic requirements for the comparability of the final risk classes are (a) the equivalence of all single-hazard classes and vulnerability classes, and (b) the compatibility of the hazard with the vulnerability classes.