SHEDS-PM模型模拟杭州市人群PM10暴露水平

以杭州市为例，利用美国国家环境保护局(US EPA)国家暴露研究实验室(NERL)所开发的颗粒物人类暴露剂量随机模拟模型(SHEDS-PM)，考察了人群在不同微环境中的PM₁₀暴露水平. 结合室外环境ρ(PM₁₀₎模拟结果、相关微环境参数和人群活动特征，对研究区域2004年不同季节室外环境、室内环境(住宅、办公室、学校、商店、餐馆)以及机动车内PM₁₀暴露水平进行了模拟. 结果表明:PM₁₀暴露量、吸入量和沉积量与ρ(PM₁₀₎日均值呈正相关；1月PM₁₀暴露量、吸入量和沉积量最大，分别为18.22，326.99和277.46 μg/m3>/sup>，三者在住宅环境中的剂量最大；不同微环境PM₁₀平均沉积速率有明显差异. 

Modeling PM10 Population Exposure in Hangzhou Using the Stochastic Human Exposure and Dose Simulation Model

A population exposure model for particulate matter(PM) called the Stochastic Human Exposure and Dose Simulation(SHEDS-PM) model,developed by the National Exposure Research Laboratory of the US EPA,was applied to simulate the population exposures to PM10 in different microenvironments.Hangzhou was selected as the case study city.According to simulated results of outdoor ρ(PM10),relevant microenvironmental parameters and population activity data,individual exposures to PM10 in the outdoors,indoors(residence,office,school,store,and restaurant),and vehicles were simulated in Hangzhou for different seasons in 2004.Results showed that there was a positive correlation between daily mean ρ(PM10) and PM10 exposure,intake and deposition dose.The values of PM10 exposure,intake and deposition in January were the highest,being 18.22,326.99 and 277.46 μg m3 respectively.The total PM10 exposures in residences were the largest.Deposition rates of PM10 in different microenvironments had significant differences.