Volume 38 Issue 3
Mar.  2013
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ZOU Bin, PENG Fen, JIAO Limin, WENG Min. GIS Aided Spatial Zoning of High\|Resolution Population Exposure to Air Pollution[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 334-338.
Citation: ZOU Bin, PENG Fen, JIAO Limin, WENG Min. GIS Aided Spatial Zoning of High\|Resolution Population Exposure to Air Pollution[J]. Geomatics and Information Science of Wuhan University, 2013, 38(3): 334-338.
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GIS Aided Spatial Zoning of High\|Resolution Population Exposure to Air Pollution

  • 1 Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education, School of Geosciences and Info\|physics, Central South University,932 South Lushan Road, Changsha 410083, China; 2 School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

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  • Received Date: December 09, 2012
  • Published Date: March 04, 2013
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    • Abstract
  • 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.
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    • References (12)
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