A categorization scheme for understanding tornado events from the human perspective

dc.contributor.authorStimers, Mitchel James
dc.date.accessioned2011-04-29T14:59:40Z
dc.date.available2011-04-29T14:59:40Z
dc.date.graduationmonthMay
dc.date.issued2011-04-29
dc.date.published2011
dc.description.abstractGiven the recent recognition that not only physical processes, but social, political and economic aspects of hazards determine vulnerability and impact of an event, the next logical step would seem to be the development of classification systems that address those factors. Classifications for natural disasters, such as the Fujita Scale for tornadoes and the Saffir-Simpson hurricane scale, focus on the physical properties of the event, not the impact on a community. Pre-event vulnerability to a natural hazard is determined by many factors, such as age, race, income and gender, as well as infrastructure such as density of the built environment and health of the industrial base. The behavior of residents in the community, construction quality of shelters and warning system effectiveness also affect vulnerability. If pre-event vulnerability is to be determined by such factors, post-event impact should, at least in part, be as well. The goal of this research was to develop the Tornado Impact-Community Vulnerability Index (TICV) that utilizes variables such as the number of persons killed, economic impacts and social vulnerability to describe to the level of impact a tornado event has on community. As tornadoes that strike unpopulated areas are often difficult to classify, even in the traditional sense, the TICV will take into consideration only events that strike communities with defined political boundaries, or “places” according to the U.S. Census Bureau. By assigning a rating to the impact, this index will allow the severity of the storm to be understood in terms of its effect on a specific community and hence its impact, rather than an physically-based rating that gives only a broad, general indication of its physical strength.
dc.description.advisorBimal K. Paul
dc.description.degreeDoctor of Philosophy
dc.description.departmentDepartment of Geography
dc.description.levelDoctoral
dc.identifier.urihttp://hdl.handle.net/2097/8531
dc.language.isoen_US
dc.publisherKansas State University
dc.rights© the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectTornadoes
dc.subjectVulnerability
dc.subjectTornado
dc.subjectIndex
dc.subject.umiGeography (0366)
dc.subject.umiSocial Research (0344)
dc.titleA categorization scheme for understanding tornado events from the human perspective
dc.typeDissertation

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