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A dasymetric method to spatially apportion tornado casualty counts
- Source :
- Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1768-1782 (2017)
- Publication Year :
- 2017
- Publisher :
- Taylor & Francis Group, 2017.
-
Abstract
- This paper describes a dasymetric technique to spatially apportion casualty counts from tornado events in the US Storm Prediction Center's database. Apportionment is a calculation of the number of casualties within the area of the tornado damage path and with respect to the underlying population density. The method is illustrated with raster grids on tornadoes occurring between 1955 and 2016 within the most tornado-prone region of the United States. Results suggest a relatively uniform spatial distribution of tornado-induced casualties with slightly higher rates in the mid-south, particularly in northern Mississippi and Alabama, and also in many metropolitan areas. In addition, there is some degree of spatial variation over time, particularly clusters of high injury rates across the northern half of Alabama. Validation of the results at the county- and grid-level indicate that casualty numbers correlate strongly with the dasymetric estimates. Future work that includes socioeconomic variables (demographics, ethnicity, poverty and housing stock/value) might allow populations to be profiled with regards to vulnerability.
- Subjects :
- lcsh:GE1-350
010504 meteorology & atmospheric sciences
Meteorology
tornado
dasymetric mapping
05 social sciences
lcsh:Risk in industry. Risk management
0507 social and economic geography
Storm
casualties
fatalities
01 natural sciences
lcsh:TD1-1066
lcsh:HD61
Apportionment
Dasymetric map
General Earth and Planetary Sciences
Environmental science
Tornado
lcsh:Environmental technology. Sanitary engineering
050703 geography
lcsh:Environmental sciences
0105 earth and related environmental sciences
General Environmental Science
injuries
Subjects
Details
- Language :
- English
- ISSN :
- 19475713 and 19475705
- Volume :
- 8
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Geomatics, Natural Hazards & Risk
- Accession number :
- edsair.doi.dedup.....f01fef8b7d6d47b6d5aeeadef91e835d