A review and evaluation of intraurban air pollution exposure models
A review and evaluation of intraurban air pollution exposure models
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DOI：
10.1038/sj.jea.7500388
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发表时间：
2005-03-01
期刊：
影响因子：
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通讯作者：
Giovis, C
中科院分区：
文献类型：
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作者：
Jerrett, M;Arain, A;Giovis, C
已确定为今后研究的优先领域之一，是建立模型，评估城市内的空气污染暴露情况，以便分配给健康研究的受试者。本文综述了六类评估城市内暴露的模型，包括：（i）基于邻近度的评估，（ii）统计插值，（iii）土地利用回归模型，（iv）线扩散模型，（v）综合排放气象模型，以及（vi）混合模型结合个人或家庭暴露监测与前述方法之一。我们丰富了这一审查的建模程序和结果与应用的例子从加拿大汉密尔顿。此外，我们定性评估模型的基础上重要的健康影响评估研究的关键标准。混合模型似乎非常适合克服的问题，实现人口代表性的样本，同时了解在个人层面上的作用，曝光变化。遥感和活动空间分析将补充对现有方法的改进，随着预期的进展，接触评估领域可能有助于减少科学上的不确定性，这些不确定性目前阻碍了旨在保护公众健康的政策干预。
The development of models to assess air pollution exposures within cities for assignment to subjects in health studies has been identified as a priority area for future research. This paper reviews models for assessing intraurban exposure under six classes, including: (i) proximity-based assessments, (ii) statistical interpolation, (iii) land use regression models, (iv) line dispersion models, (v) integrated emission-meteorological models, and (vi) hybrid models combining personal or household exposure monitoring with one of the preceding methods. We enrich this review of the modelling procedures and results with applied examples from Hamilton, Canada. In addition, we qualitatively evaluate the models based on key criteria important to health effects assessment research. Hybrid models appear well suited to overcoming the problem of achieving population representative samples while understanding the role of exposure variation at the individual level. Remote sensing and activity-space analysis will complement refinements in pre-existing methods, and with expected advances, the field of exposure assessment may help to reduce scientific uncertainties that now impede policy intervention aimed at protecting public health.