湖南省大气污染物排放与人体暴露水平研究

基于吸入因子概念,建立了污染物排放造成的人体暴露的计算方法.应用CALPUFF长距离扩散模型和多元回归分析对湖南省17个电厂(24个排放源)的一次细颗粒(PM_2.5)、SO₂和NO_x排放进行了研究.结果表明,在半径500km范围内,PM_2.5、SO₄^2-和NO₃^-的平均吸入因子分别为9.73×10^-6、2.39×10^-6和2.47×10^-6.回归分析表明,PM_2.5的吸入因子与烟囱高度及人口数量有很高的相关性(R²=0.83),SO₄^2--吸入因子与烟囱高度无关,与人口数量有较好的相关性(R²=0.64),而NO₃的吸入因子与烟囱高度、人口数量的相关性较高(R²=0.74).基于回归方程和人口分布地图,对湖南省污染排放的吸入因子进行区划,得到的吸入因子等值图反映了人口分布对吸入因子的影响,可用于对该地区的排放源造成的健康影响进行快速评价.

Population Exposure to Air Pollutant Emissions in Hunan Province

Estimate of population exposure to air pollution is necessary to health impact assessment. Based on the concept of intake fraction, a rapid population exposure assessment method was developed in this paper. The CALPUFF atmospheric dispersion model was applied to estimate intake fractions of primary and secondary fine particles emitted from a set of 17 power plants in Hunan Province. Results showed that within 500km from the emission source, average values of intake fraction were 9.73×10^-6 for PM_2.5, 2.39×10^-6 for sulfate and 2.47×10^-6 for nitrate. From regression analysis, good correlations were found for the relations among intake fraction of PM_2.5, stack height, and population (R²=0.83), and intake fraction of SO₄^2- and population (R²=0.64), and intake fraction of NO₃^-, stack height and population (R²=0.74). Iso-intake fraction maps were produced based on the regression equations and population distribution, which reflected the differentiation of population density and enabled simple impact assessment for emission sources in this region.