although the history of hazard recognition goes back to years ago, and even some techniques were invented to predict it, hazard studies are new in the current knowledge. the concept of hazard and risk will be defined when the events show two special properties: first, they happen unexpectedly, and second, their occurrence cause harm to us. the general state of the earth should be considered amo...

Data warehousing has emerged as an effective technique for converting data into useful information. It is an improved approach to integrate data from multiple, often very large, distributed, heterogeneous databases and other information sources. This paper examines the possibility of using data warehousing techniques in the natural hazards management framework to integrate various functional an...

This article uses the panel survey developed for the Health and Retirement Study to evaluate whether Hurricane Andrew in 1992 altered longevity expectations of respondents who lived in Dade County, Florida, the location experiencing the majority of about 20 billion dollars of damage. Longevity expectations have been used as a proxy measure for both individual subjective risk assessments and dis...

Gravitational mass flows, such as avalanches, debris flows and rockfalls are common events in alpine regions with high impact on transport routes. Within the last few decades, hazard zone maps have been developed to systematically approach this threat. These maps mark vulnerable zones in habitable areas to allow effective planning of hazard mitigation measures and development of settlements. Ha...

The existing disaster databases allow analyzing losses produced by previous events and assessing the risk to natural hazard in a similar way as the insurance industry does for vehicles, health, etc., if the conditions and trends are maintained. Among the existing disaster databases, we selected DesInventar whose vast majority of records correspond to “small” events; this selection is of special...

The analysis and modeling of extreme values have traditionally relied on extreme value theory (EVT), which in turn has tended to focus on limiting or asymptotic cases and assumptions of independence. However, disciplines from climate science and digital mapping to infrastructure security and transportation, have been generating massive volumes of data with multidimensional and multivariable dep...