• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Environmental research >Land use regression models for the oxidative potential of fine particles (PM_(2.5)) in five European areas
【24h】

Land use regression models for the oxidative potential of fine particles (PM_(2.5)) in five European areas

机译：欧洲五个地区细颗粒（PM_（2.5））氧化潜力的土地利用回归模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Oxidative potential (OP) of particulate matter (PM) is proposed as a biologically-relevant exposure metric for studies of air pollution and health. We aimed to evaluate the spatial variability of the OP of measured PM2.5 using ascorbate (AA) and (reduced) glutathione (GSH), and develop land use regression (LUR) models to explain this spatial variability. We estimated annual average values (m~(-3)) of OP~(AA) and OP~(GSH) for five areas (Basel, CH; Catalonia, ES; London-Oxford, UK (no OP~(GSH)); the Netherlands; and Turin, IT) using PM_(2.5) filters. OP~(AA) and Op~(GSH) models were developed using all monitoring sites, separately for each area and combined-areas. The same variables were then used in repeated sub-sampling of monitoring sites to test sensitivity of variable selection; new variables were offered where variables were excluded (p > .1). On average, measurements of OP~(AA) and OP~(GSH) were moderately correlated (maximum Pearson's maximum Pearson's R = = .7) with PM_(2.5) and other metrics (PM_(2.5)absorbance, NO_2, Cu, Fe). HOV (hold-out validation) R~2 for OP~(AA) models was .21, .58, .45, .53, and .13 for Basel, Catalonia, London-Oxford, the Netherlands and Turin respectively. For OP~(GSH), the only model achieving at least moderate performance was for the Netherlands (R2 = .31). Combined models for OP~(AA) and OP~(GSH) were largely explained by study area with weak local predictors of intra-area contrasts; we therefore do not endorse them for use in epidemiologic studies. Given the moderate correlation of OP~(AA) with other pollutants, the three reasonably performing LUR models for OP~(AA) could be used independently of other pollutant metrics in epidemiological studies.
机译：提出了颗粒物（PM）的氧化势（OP）作为生物学相关的暴露指标，用于研究空气污染和健康。我们旨在使用抗坏血酸（AA）和（减少的）谷胱甘肽（GSH）评估测得的PM2.5的OP的空间变异性，并开发土地利用回归（LUR）模型来解释这种空间变异性。我们估算了五个地区（巴塞尔，瑞士，加泰罗尼亚，ES，英国伦敦-牛津）的OP〜（AA）和OP〜（GSH）的年平均值（m〜（-3））（无OP〜（GSH）） ；荷兰；以及都灵（IT））使用PM_（2.5）过滤器。使用所有监视站点分别针对每个区域和组合区域开发了OP〜（AA）和Op〜（GSH）模型。然后将相同的变量用于监视站点的重复子采样以测试变量选择的敏感性；在排除变量的情况下提供了新变量（p> .1）。平均而言，OP〜（AA）和OP〜（GSH）的测量值与PM_（2.5）和其他指标（PM_（2.5）吸光度，NO_2，Cu，Fe ）。 OP〜（AA）模型的HOV（保留验证）R〜2对于巴塞尔，加泰罗尼亚，伦敦-牛津，荷兰和都灵分别为.21，.58，.45，.53和.13。对于OP〜（GSH），唯一达到至少中等性能的模型是荷兰（R2 = .31）。 OP〜（AA）和OP〜（GSH）的组合模型在很大程度上是由研究区域解释的，该区域对区域内对比度的局部预测力较弱。因此，我们不赞成将其用于流行病学研究。考虑到OP〜（AA）与其他污染物的适度相关性，可以在流行病学研究中独立于其他污染物指标使用三个合理执行的OP〜（AA）LUR模型。

著录项

  • 来源
    《Environmental research》 |2018年第1期|247-255|共9页
  • 作者

    John Gulliver; David Morley; Chrissi Dunster; Adrienne McCrea; Erik van Nunen; Ming-Yi Tsai; Nicoltae Probst-Hensch; Marloes Eeftens; Medea Imboden; Regina Ducret-Stich; Alessio Naccarati; Claudia Galassi; Andrea Ranzi; Mark Nieuwenhuijsen; Ariadna Curto; David Donaire-Gonzalez; Marta Cirach; Roel Vermeulen; Paolo Vineis; Gerard Hoek; Frank J. Kelly;

  • 作者单位

    MRC-PHE Centre for Environment and Health, the Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom;

    MRC-PHE Centre for Environment and Health, the Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom;

    MRC-PHE Centre for Environment and Health, Environmental Research Group (ERG), King's College London, London, United Kingdom;

    MRC-PHE Centre for Environment and Health, the Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom;

    Institute for Risk Assessment Sciences (IRAS), division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, The Netherlands;

    Swiss Tropical and Public Health (TPH) Institute, University of Basel, Basel, Switzerland,University of Basel Basel, Switzerland;

    Swiss Tropical and Public Health (TPH) Institute, University of Basel, Basel, Switzerland,University of Basel Basel, Switzerland;

    Swiss Tropical and Public Health (TPH) Institute, University of Basel, Basel, Switzerland,University of Basel Basel, Switzerland;

    Swiss Tropical and Public Health (TPH) Institute, University of Basel, Basel, Switzerland,University of Basel Basel, Switzerland;

    Swiss Tropical and Public Health (TPH) Institute, University of Basel, Basel, Switzerland,University of Basel Basel, Switzerland;

    Human Genetics Foundation, Turin, Italy;

    Unit of Cancer Epidemiology, Citta' deUa Salute e della Scienza University Hospital and Centre for Cancer Prevention, Turin, Italy;

    Environmental Health Reference Centre, Regional Agency for Prevention, Environment and Energy of Emilia-Romagna, Modena, Italy;

    ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain,CIBER Epidemiologiay Salud Publica (CIBERESP), Barcelona, Spain;

    ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain,CIBER Epidemiologiay Salud Publica (CIBERESP), Barcelona, Spain;

    ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain,CIBER Epidemiologiay Salud Publica (CIBERESP), Barcelona, Spain;

    ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain,Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain,CIBER Epidemiologiay Salud Publica (CIBERESP), Barcelona, Spain;

    Institute for Risk Assessment Sciences (IRAS), division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, The Netherlands;

    MRC-PHE Centre for Environment and Health, the Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom;

    Institute for Risk Assessment Sciences (IRAS), division of Environmental Epidemiology (EEPI), Utrecht University, Utrecht, The Netherlands;

    MRC-PHE Centre for Environment and Health, Environmental Research Group (ERG), King's College London, London, United Kingdom;

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

    Oxidative potential; Land use regression; LUR; Spatial variability; Exposure assessment; Air pollution;

    机译：氧化电位土地利用回归;LUR;空间变异性;暴露评估;空气污染;

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