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    A Model for U.S. Tornado Casualties Involving Interaction between Damage Path Estimates of Population Density and Energy Dissipation

    Source: Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 009::page 2035
    Author:
    Elsner, James B.
    ,
    Fricker, Tyler
    ,
    Berry, William D.
    DOI: 10.1175/JAMC-D-18-0106.1
    Publisher: American Meteorological Society
    Abstract: AbstractA recent study showed the importance of tornado energy as a factor in a model for tornado deaths and injuries (casualties). The model was additive under the assumption of uniform threat. Here, we test two explicit hypotheses designed to examine this additive assumption. The first hypothesis concerns energy dissipation?s effect conditional on population density and the second concerns population?s effect conditional on energy. Both hypotheses are tested using a regression model that contains the product of population density and energy dissipation. Results show that the elasticity of casualties with respect to energy dissipation increases with population density. That is, the percentage increase in casualties with increasing energy dissipation increases with population density. Similarly, the elasticity of casualties with respect to population density increases with energy dissipation. That is, the percentage increase in casualties with increasing population density increases with energy dissipation. Allowing energy and population elasticities to be conditional rather than constant provides a more complete description of how tornado casualties are influenced by these two important factors.
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      A Model for U.S. Tornado Casualties Involving Interaction between Damage Path Estimates of Population Density and Energy Dissipation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4261700
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    contributor authorElsner, James B.
    contributor authorFricker, Tyler
    contributor authorBerry, William D.
    date accessioned2019-09-19T10:06:59Z
    date available2019-09-19T10:06:59Z
    date copyright7/13/2018 12:00:00 AM
    date issued2018
    identifier otherjamc-d-18-0106.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261700
    description abstractAbstractA recent study showed the importance of tornado energy as a factor in a model for tornado deaths and injuries (casualties). The model was additive under the assumption of uniform threat. Here, we test two explicit hypotheses designed to examine this additive assumption. The first hypothesis concerns energy dissipation?s effect conditional on population density and the second concerns population?s effect conditional on energy. Both hypotheses are tested using a regression model that contains the product of population density and energy dissipation. Results show that the elasticity of casualties with respect to energy dissipation increases with population density. That is, the percentage increase in casualties with increasing energy dissipation increases with population density. Similarly, the elasticity of casualties with respect to population density increases with energy dissipation. That is, the percentage increase in casualties with increasing population density increases with energy dissipation. Allowing energy and population elasticities to be conditional rather than constant provides a more complete description of how tornado casualties are influenced by these two important factors.
    publisherAmerican Meteorological Society
    titleA Model for U.S. Tornado Casualties Involving Interaction between Damage Path Estimates of Population Density and Energy Dissipation
    typeJournal Paper
    journal volume57
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-18-0106.1
    journal fristpage2035
    journal lastpage2046
    treeJournal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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