Ehime University, Matsuyama, Ehime, Japan.
J Expo Sci Environ Epidemiol. 2013 Sep-Oct;23(5):487-97. doi: 10.1038/jes.2013.29. Epub 2013 May 29.
We developed an exposure estimation model for an epidemiological study on the effect of traffic-related air pollutants on respiratory diseases. The model estimates annual average outdoor concentration of nitrogen oxides (NOx) and elemental carbon (EC). The model is composed of three nested plume dispersion type submodels treating different spatial scales from a few meters to tens of kilometers. The emissions from road traffic was estimated at high spatial resolution along the paths of roads taking into account the effects of individual building shape and traffic signals to secure accuracy near trunk roads where most of the subjects of the epidemiological study resided. Model performance was confirmed by field measurements at permanent local government stations and purpose-built temporary stations; the latter supplemented roadside monitoring points and provided EC concentrations, which are not measured routinely. We infer that EC emissions were underestimated by using the available database because there were significant contributions to EC concentrations from sources that did not emit much NOx. An adjustment concentration yielded good agreement between model estimates and field measurements.
我们开发了一种暴露评估模型,用于研究交通相关空气污染物对呼吸系统疾病影响的流行病学研究。该模型估计氮氧化物 (NOx) 和元素碳 (EC) 的年平均室外浓度。该模型由三个嵌套的羽流扩散型子模型组成,处理从几米到几十公里不同空间尺度的问题。道路交通排放是根据道路路径以高空间分辨率进行估算的,考虑了个别建筑物形状和交通信号的影响,以确保在流行病学研究对象居住的大多数主要道路附近的准确性。通过在永久性地方政府站和专门建造的临时站进行现场测量来确认模型性能;后者补充了路边监测点,并提供了常规不测量的 EC 浓度。我们推断,由于 EC 浓度的来源有很多并未排放大量的 NOx,但却对 EC 浓度有显著贡献,因此使用现有数据库可能会低估 EC 排放。调整浓度后,模型估计值与现场测量值吻合良好。