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Use of visual range measurements to predict fine particulate matter exposures in Southwest Asia and Afghanistan

机译:使用视觉范围测量来预测西南亚和阿富汗的细颗粒物暴露

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摘要

Military personnel deployed to Southwest Asia and Afghanistan were exposed to high levels of ambient particulate matter (PM). However, quantitative ambient exposure data for conducting health studies are limited due to a lack of PM monitoring stations. Since visual range (VR) is proportional to particle light extinction, VR can serve as a surrogate for PM_(2.5) (particulate matter with an aerodynamic diameter ≤2.5 urn) concentrations. We used data on VR, relative humidity (RH), and PM_(2.5) ground measurements collected in Kuwait from years 2004-2005 to establish the relationship between PM_(2.5) and VR. Model validation obtained by regressing trimester average PM_(2.5) predictions against PM_(2.5) measurements in Kuwait produced an r~2 value of 034. Cross validation of urban and rural sites in Kuwait also revealed good model fit. We applied this relationship to location-specific visibility data at 104 regional sites between years 2000-2012 to estimate monthly average PM_(2.5) concentrations. Monthly averages at sites in Iraq, Afghanistan, United Arab Emirates, Kuwait, Djibouti, and Qatar ranged from 10 to 365 ug/m3 during this period, while site averages ranged from 22 to 80 ug/m3, indicating considerable spatial and temporal heterogeneity in ambient PM_(2.5) across these regions. These data support the use of historical visibility data to estimate location-specific PM_(2.5) concentrations for application in epidemiological studies. Implications: This study demonstrates the ability to use airport visibility to estimate PM2^ concentrations in Southwest Asian and Afghanistan. This supports the use of historical and ongoing visibility data to estimate PM_(2.5) exposure in this region of the world, where PM exposure information is otherwise scarce. This is of high utility to epidemiologists investigating the relationship between chronic exposure to PM_(2.5) and respiratory diseases among deployed military personnel stationed at various military bases throughout the region. Such information will enable the drafting of improved policies relating to military health.
机译:部署到西南亚和阿富汗的军事人员接触到高水平的环境颗粒物(PM)。但是,由于缺乏PM监测站,用于进行健康研究的定量环境暴露数据有限。由于可视范围(VR)与消光的光强成正比,因此VR可以替代PM_(2.5)(空气动力学直径≤2.5um的颗粒物)浓度。我们使用2004年至2005年在科威特收集的VR,相对湿度(RH)和PM_(2.5)地面测量数据来建立PM_(2.5)与VR之间的关系。通过将科威特的三个月平均PM_(2.5)预测值与PM_(2.5)测量值进行回归获得的模型验证得出的r〜2值为034。科威特城市和农村站点的交叉验证也显示出良好的模型拟合度。我们将此关系应用于2000-2012年间104个区域站点的特定于位置的可见性数据,以估计每月平均PM_(2.5)浓度。在此期间,伊拉克,阿富汗,阿拉伯联合酋长国,科威特,吉布提和卡塔尔的站点的月平均范围为10至365 ug / m3,而站点平均的范围为22至80 ug / m3,表明该地区的时空异质性很大。这些区域的环境PM_(2.5)。这些数据支持使用历史可见性数据来估计位置特定的PM_(2.5)浓度,以用于流行病学研究。启示:这项研究证明了利用机场能见度估算西南亚和阿富汗PM2 ^浓度的能力。这支持使用历史和正在进行的可见性数据来估计世界上该地区PM_(2.5)暴露的情况,否则该地区的PM暴露信息很少。这对于流行病学家调查驻扎在该地区各个军事基地的已部署军事人员之间的慢性暴露于PM_(2.5)与呼吸系统疾病之间的关系非常有用。这些信息将有助于起草与军事卫生有关的改进政策。

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    Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA;

    Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, Boston, MA, USA-,Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA;

    Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA;

    Department of Chemical Engineering, College of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait;

    Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA;

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