A new method to calculate lightning fatality risk is presented in order to develop a way to identify the lightning risk in areas where lightning fatality data are not available. This new method uses GIS software to multiply lightning flash density and population density on a grid and display the results on a map. A comparison to the known lightning fatality data was done to verify the method. The method works well with a quadratic regression correlation coefficient as high as 0.864, although a hybrid quadratic/log-linear regression is preferred for various reasons despite having a slightly lower correlation coefficient (0.827). Given the good performance, the lightning fatality risk method may be useful for developing countries, where lightning fatality reports may not be reliable, to help guide where to allocate scarce resources for lightning safety initiatives.
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Univ Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USAUniv Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USA
Jalalzadeh Fard, Babak
Puvvula, Jagadeesh
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Univ Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USAUniv Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USA
Puvvula, Jagadeesh
Bell, Jesse E.
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Univ Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USA
Univ Nebraska, Daugherty Water Food Global Inst, Lincoln, NE 68588 USA
Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE 68588 USAUniv Nebraska Med Ctr, Dept Environm Agr & Occupat Hlth, Coll Publ Hlth, Omaha, NE 68198 USA