GIS Aided Spatial Zoning of High\|Resolution Population Exposure to Air Pollution

Through integrating atmospheric dispersion model, GIS spatial analysis and population dasymetric mapping model (PDMM), we firstly conducted high\|resolution simulations of air pollution concentration and population spatial distribution. Then, a model for assessing population relative risks of air pollution exposure (MAPRRAPE) was proposed and implemented for spatial zoning of population exposure to SO₂ at various levels by taking Tarrant County as a case. The results show that the population exposure to SO₂ for Tarrant County in 2000 detected by air pollution concentration method obviously differs from those produced by MAPRRAPE.While the results disclose the defect of the air pollution concentration based population exposure, it thereby conversely confirms the significance of MAPRRAPE in decision making for preventing and controlling regional air pollution exposure.