中文摘要：

集成大气污染扩散模型、GIS空间分析及人口动态制图模型（PDMM）实现了高空间分辨率空气污染浓度和人口空间分布模拟,通过构建人口空气污染暴露相对风险评价模型实现了人口空气污染暴露程度的空间格局划分。研究结果显示,空气污染浓度与人口空气污染暴露相对风险评价模型两种方法生成的人口空气污染暴露评估结果差异较大。研究结果揭示,前者在区域人口空气污染暴露评估中存在缺陷的同时（如无人居住的SO2高浓度区被误判为人口SO2污染暴露高风险区）,也肯定了基于后者得到的人口空气污染暴露空间区划结果在区域空气污染暴露风险调控政策制定过程中的重要理论意义与实践价值。

英文摘要：

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 MAP- RRAPE in decision making for preventing and controlling regional air pollution exposure.