Department (e.g. History, Chemistry, Finance, etc.)

Anthropology

College (e.g. College of Engineering, College of Arts & Sciences, Haslam College of Business, etc.)

Arts and Sciences

Abstract

This project uses GIS and an anthropological perspective to identify local populations surrounding Pohakuloa Training Area (PTA) that are most at risk from military vehicle-generated dust. Using ArcGIS, the following data was analyzed in order to better understand impacts from dust on the local population: • Prevailing wind rose data from National Water and Climate Center under the USDA National Resources Conservation Service, • Digital Elevation Model (DEM) map of the island provided by National Elevation Dataset from USGS, and • The US Census data of the local population distribution surrounding the military base at PTA. When studying demographics, I evaluated the spatial distribution and density of the adjacent population. The resulting GIS data was a combination of my own dust dispersion estimates (from wind, topography, and distance from source) with my demographic research in order to determine the risk associated with populations on the island of Hawaii. The current populations being subjected to high levels of dust exposure were identified and quantified through a rudimentary algorithm relating the variables considered. The resulting map portrayed the spatial distribution of the generated dust across the island and identified the populations which will be experiencing significant impacts due to the dust dispersion.

 

Using GIS to Identify At-Risk Populations of Military-Generated Dust

This project uses GIS and an anthropological perspective to identify local populations surrounding Pohakuloa Training Area (PTA) that are most at risk from military vehicle-generated dust. Using ArcGIS, the following data was analyzed in order to better understand impacts from dust on the local population: • Prevailing wind rose data from National Water and Climate Center under the USDA National Resources Conservation Service, • Digital Elevation Model (DEM) map of the island provided by National Elevation Dataset from USGS, and • The US Census data of the local population distribution surrounding the military base at PTA. When studying demographics, I evaluated the spatial distribution and density of the adjacent population. The resulting GIS data was a combination of my own dust dispersion estimates (from wind, topography, and distance from source) with my demographic research in order to determine the risk associated with populations on the island of Hawaii. The current populations being subjected to high levels of dust exposure were identified and quantified through a rudimentary algorithm relating the variables considered. The resulting map portrayed the spatial distribution of the generated dust across the island and identified the populations which will be experiencing significant impacts due to the dust dispersion.