...
首页> 外文期刊>Atmospheric environment >Spatio-temporal modelling of residential exposure to particulate matter and gaseous pollutants for the Heinz Nixdorf Recall Cohort
【24h】

Spatio-temporal modelling of residential exposure to particulate matter and gaseous pollutants for the Heinz Nixdorf Recall Cohort

机译:亨氏Nixdorf召回队列居民暴露于颗粒物和气态污染物的时空模型

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

For the simultaneous analysis of short- and long-term effects of air pollution in the Heinz Nixdorf Recall Cohort a sophisticated exposure modelling was performed. The dispersion and chemistry transport model EURAD (European Air Pollution Dispersion) was used for the estimation of hourly concentrations of a number of pollutants for a horizontal grid with a cell size of 1 km~2 covering the whole study area (three large adjacent cities in a highly urbanized region in Western Germany) for the years 2000-2003 and 2006-2008. For each 1 km~2 cell we estimated the mean concentration by calculating daily means from the hourly concentrations modelled by the EURAD process. The modelled concentrations showed an overall tendency to decrease from 2001 to 2008 whereas the trend in the single grid cells and study period was inhomogeneous. Participant-related exposure slightly increased from 2001 to 2003 followed by a decrease from 2006 to 2008. The exposure modelling enables a very flexible exposure assessment compared to conventional modelling approaches which either use central monitoring or temporally static spatial contrasts. The modelling allows the calculation of an average exposure concentration for any place and time within the study region and study period with a high spatial and temporal resolution. This is important for the assessment of short-, medium and long-term effects of air pollution on human health in epidemiological studies.
机译:为了同时分析Heinz Nixdorf Recall队列中空气污染的短期和长期影响,进行了复杂的暴露建模。弥散和化学迁移模型EURAD(欧洲空气污染弥散)用于估算整个研究区域(3个邻近的大城市)的水平网格(单元大小为1 km〜2)的水平污染物的每小时浓度。 2000-2003年和2006-2008年)。对于每个1 km〜2的电池,我们通过根据EURAD流程建模的小时浓度计算日平均值来估算平均浓度。从2001年到2008年,模拟浓度显示总体趋势下降,而单个网格单元和研究期的趋势是不均匀的。与参与者相关的曝光从2001年到2003年略有增加,然后从2006年到2008年减少。与使用集中监控或时间上静态的空间对比的传统建模方法相比,暴露建模可以实现非常灵活的暴露评估。通过建模,可以以高时空分辨率计算研究区域和研究期间内任何位置和时间的平均暴露浓度。这对于在流行病学研究中评估空气污染对人类健康的短期,中期和长期影响非常重要。

著录项

  • 来源
    《Atmospheric environment》 |2014年第7期|15-23|共9页
  • 作者单位

    Institute for Medical Informatics, Biometry and Epidemiology, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55,D-45122 Essen, Germany;

    Rhenish Institute for Environmental Research at the University of Cologne, Aachenerstrasse 209, D-50931 Koeln, Germany;

    Institute for Medical Informatics, Biometry and Epidemiology, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55,D-45122 Essen, Germany;

    Institute for Medical Informatics, Biometry and Epidemiology, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55,D-45122 Essen, Germany;

    Rhenish Institute for Environmental Research at the University of Cologne, Aachenerstrasse 209, D-50931 Koeln, Germany;

    Institute for Medical Informatics, Biometry and Epidemiology, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55,D-45122 Essen, Germany;

    West German Heart Center Essen, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55, D-45122 Essen, Germany;

    West German Heart Center Essen, University Hospital, University of Duisburg-Essen, Hufelandstrasse 55, D-45122 Essen, Germany;

    IUF - Leibniz Research Institute for Environmental Medicine, Heinrich Heine University Duesseldorf, Auf'm Hennekamp 50, D-40225 Duesseldorf, Germany;

    Rhenish Institute for Environmental Research at the University of Cologne, Aachenerstrasse 209, D-50931 Koeln, Germany;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heinz Nixdorf Recall Study; EURAD model; Spatio-temporal exposure modelling; Long-term exposure; Short-term exposure;

    机译:亨氏Nixdorf召回研究;EURAD模型;时空暴露模型;长期接触;短期接触;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号