Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area
Comparison of Land-Use Regression Modeling with Dispersion and Chemistry Transport Modeling to Assign Air Pollution Concentrations within the Ruhr Area
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DOI：
10.3390/atmos7030048
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发表时间：
2016-03-01
期刊：
影响因子：
2.9
通讯作者：
Hoffmann, Barbara
中科院分区：
文献类型：
--
作者：
Hennig, Frauke;Sugiri, Dorothea;Hoffmann, Barbara
在流行病学研究中，评估空气污染浓度以调查空气污染对健康的影响的两种常用模型是土地利用回归（LUR）模型和弥散和化学运输模型（DCTM）。这两种建模方法已在德国鲁尔地区应用，该地区正在进行多队列研究。由于每种模型的具体特征，这些不同建模方法的应用导致了暴露估计和解释的差异。我们的目的是通过各自的目标、建模特征、验证、时空分辨率和住宅暴露估计的一致性来比较两种模型方法，参考空气污染物PM2.5、PM10和NO2。住宅暴露指的是位于鲁尔地区的亨氏尼克斯多夫召回研究参与者住所的空气污染暴露。特定点的ESCAPE（欧洲空气污染影响队列研究）-LUR旨在暂时估计稳定的长期暴露于当地，主要是与交通有关的空气污染的非常小尺度的空间变化(
Two commonly used models to assess air pollution concentration for investigating health effects of air pollution in epidemiological studies are Land Use Regression (LUR) models and Dispersion and Chemistry Transport Models (DCTM). Both modeling approaches have been applied in the Ruhr area, Germany, a location where multiple cohort studies are being conducted. Application of these different modelling approaches leads to differences in exposure estimation and interpretation due to the specific characteristics of each model. We aimed to compare both model approaches by means of their respective aims, modeling characteristics, validation, temporal and spatial resolution, and agreement of residential exposure estimation, referring to the air pollutants PM2.5, PM10, and NO2. Residential exposure referred to air pollution exposure at residences of participants of the Heinz Nixdorf Recall Study, located in the Ruhr area. The point-specific ESCAPE (European Study of Cohorts on Air Pollution Effects)-LUR aims to temporally estimate stable long-term exposure to local, mostly traffic-related air pollution with respect to very small-scale spatial variations (